1. An autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller system, comprising: a frequency detection module for monitoring real-time grid frequency deviations; a temperature sensor to continuously gauge and report the internal cavity temperature of the refrigerator; a processor operatively coupled to said frequency detection module and temperature sensor, said processor being programmed to dynamically adjust power consumption of the refrigerator based on detected frequency fluctuations and reported internal cavity temperature; and an interfacing module facilitating integration and communication with external Thermostatically Controlled Loads (TCL) devices for collective operational flexibility.

2. The system of claim 1, wherein the processor uses adaptive algorithms to enhance frequency security metrics, specifically optimizing the Rate of Change of Frequency (RoCoF) and frequency nadir.

3. The system of claim 1, wherein said frequency detection module is calibrated to trigger responsive actions within predetermined frequency deviation thresholds.

4. The system of claim 1, wherein the processor ensures that alterations due to FTF operations, concerning the cavity and evaporator temperatures, do not compromise the conventional cooling efficiency of the refrigerator.

5. The system of claim 1, further comprising a user interface that provides real-time feedback and control settings adjustment for users concerning FFC service participation.

6. The system of claim 1, wherein the interfacing module employs a standardized communication protocol compatible with a plurality of TCL devices.

7. The system of claim 1, wherein the processor is further configured to execute abrupt power switches in response to rapid frequency deviations without causing significant operational disruptions.

8. The system of claim 1, wherein the processor can receive and process external modifications pertaining to frequency and temperature parameters, allowing enhanced refrigerator participation in FFC.

9. The system of claim 5, wherein the user interface includes safety and override functionalities, enabling users to prioritize conventional refrigerator operations over FFC services when needed.

10. A method of utilizing an autonomous and decentralized FTF refrigerator controller, comprising the steps of: monitoring real-time grid frequency deviations; continuously gauging the internal cavity temperature of a refrigerator; dynamically adjusting the refrigerator’s power consumption based on detected frequency fluctuations and reported internal cavity temperature; and integrating and communicating with external TCL devices to achieve collective operational flexibility. FREQUENCY-RESPONSIVE SWITCHING CONTROLLER FOR THERMOSTATICALLY CONTROLLED LOADS Abstract The disclosure unveils a Fast-to-Frequency (FTF) refrigerator controller that autonomously optimizes for Frequency Following Control (FFC) services. This controller adjusts the refrigerator's power consumption in response to grid frequency fluctuations and the appliance's internal cavity temperature. Crucially, it enhances frequency security metrics, such as the Rate of Change of Frequency (RoCoF) and frequency nadir. The controller ensures that these adjustments don't affect the standard operations or thermodynamics of the refrigerator. Additionally, it smoothly handles rapid power switches, thus maximizing refrigerators' collective participation in FFC while preserving user comfort. The controller's functionality can be amplified by modifying frequency and temperature parameters and integrating it with other Thermostatically Controlled Loads (TCL) devices, making it a versatile tool for advanced energy management. , C , Claims:Claims :

1. An autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller system, comprising: a frequency detection module for monitoring real-time grid frequency deviations; a temperature sensor to continuously gauge and report the internal cavity temperature of the refrigerator; a processor operatively coupled to said frequency detection module and temperature sensor, said processor being programmed to dynamically adjust power consumption of the refrigerator based on detected frequency fluctuations and reported internal cavity temperature; and an interfacing module facilitating integration and communication with external Thermostatically Controlled Loads (TCL) devices for collective operational flexibility.

2. The system of claim 1, wherein the processor uses adaptive algorithms to enhance frequency security metrics, specifically optimizing the Rate of Change of Frequency (RoCoF) and frequency nadir.

3. The system of claim 1, wherein said frequency detection module is calibrated to trigger responsive actions within predetermined frequency deviation thresholds.

4. The system of claim 1, wherein the processor ensures that alterations due to FTF operations, concerning the cavity and evaporator temperatures, do not compromise the conventional cooling efficiency of the refrigerator.

5. The system of claim 1, further comprising a user interface that provides real-time feedback and control settings adjustment for users concerning FFC service participation.

6. The system of claim 1, wherein the interfacing module employs a standardized communication protocol compatible with a plurality of TCL devices.

7. The system of claim 1, wherein the processor is further configured to execute abrupt power switches in response to rapid frequency deviations without causing significant operational disruptions.

8. The system of claim 1, wherein the processor can receive and process external modifications pertaining to frequency and temperature parameters, allowing enhanced refrigerator participation in FFC.

9. The system of claim 5, wherein the user interface includes safety and override functionalities, enabling users to prioritize conventional refrigerator operations over FFC services when needed.

10. A method of utilizing an autonomous and decentralized FTF refrigerator controller, comprising the steps of: monitoring real-time grid frequency deviations; continuously gauging the internal cavity temperature of a refrigerator; dynamically adjusting the refrigerator’s power consumption based on detected frequency fluctuations and reported internal cavity temperature; and integrating and communicating with external TCL devices to achieve collective operational flexibility.

Description:FREQUENCY-RESPONSIVE SWITCHING CONTROLLER FOR THERMOSTATICALLY CONTROLLED LOADS
Field of the Invention
[0001] The invention pertains to the domain of refrigerator control systems, particularly focusing on an autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller that is tailor-made for Frequency Following Control (FFC) services.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] The evolution of the global energy landscape has undergone significant shifts in recent years, chiefly driven by the integration of renewable energy sources into the conventional power generation mix. These sources, with their inherent advantages of sustainability and reduced environmental impact, promise a future of cleaner and more efficient energy. However, with every innovation comes its set of challenges. In this context, the large-scale adoption of renewable energies, especially in a decentralized manner, has posed unique challenges to the traditional grid system. One of the most persistent and critical issues arising from this transformation is the matter of maintaining power stability.
[0004] The traditional power grid was designed around the principles of centralized generation and distribution. Power stations generated electricity, which was then distributed across vast networks to reach consumers. These stations maintained a stable frequency, ensuring the consistency of the power supplied to all devices and appliances. With the proliferation of decentralized power generation mechanisms, such as wind turbines and solar panels, the number of inputs to the grid has multiplied manifold. Each of these sources may have its operational rhythms, leading to frequent fluctuations in the power frequency. These deviations, even if minor, can compound to create significant disruptions if not adequately addressed.
[0005] Enter the modern refrigerator - a household staple and a representative of a category of appliances that have a continuous and significant draw on the power grid. Refrigerators, in their conventional design, operate with a fixed pattern, having cycles of cooling that are uninfluenced by external factors, especially not by the frequency of the power they consume. From an energy efficiency standpoint, this mode of operation is far from optimal. When the power grid experiences frequency fluctuations, these traditional refrigeration units continue their operations unaffected. The lack of adaptability in such significant power consumers exacerbates the strain on an already stressed grid, pulling it further from stability.
[0006] Moreover, the importance of the Rate of Change of Frequency (RoCoF) and the frequency nadir cannot be understated in this context. These measures offer insights into frequency security, a term that encapsulates the grid's ability to maintain stable power supply amidst dynamic consumption patterns and generation inconsistencies. In the current scenario, with conventional appliances showing rigidity in their operational patterns, there are limited solutions at the appliance-level to optimize these frequency security metrics. This gap presents a significant opportunity and an equally pronounced challenge. For, while there is a clear need for a solution, creating one that seamlessly integrates with everyday appliances, like refrigerators, without compromising on their primary functionalities is no small feat.
[0007] Furthermore, thermodynamics plays a pivotal role in the efficient functioning of refrigerators. Variables like the cavity and evaporator temperatures are crucial in determining the cooling efficiency of these units. Most existing power-adjusting systems or solutions do not factor in these thermodynamic elements when suggesting or making power consumption alterations. Such an oversight can lead to a decline in cooling performance, undermining the very purpose of the refrigerator. In households, this could mean food getting spoiled, and in commercial settings, such inefficiencies could translate to significant monetary losses.
[0008] Beyond the technicalities, there's also the human element to consider. The shift towards smart homes and interconnected appliances has elevated user expectations. Consumers today anticipate their devices to be 'smart' – to adjust, learn, and optimize without manual interventions. They also expect these advancements not to come at the cost of device performance or their comfort. This sets the bar high for any solution that seeks to make refrigerators more grid-responsive. It's not just about adjusting power consumption; it's about doing so in a way that is imperceptible to the user, ensuring that their comfort or the refrigerator's primary function is not compromised.
[0009] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary
[00010] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00011] The invention pertains to the domain of refrigerator control systems, particularly focusing on an autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller that is tailor-made for Frequency Following Control (FFC) services.
[00012] In an embodiment, an autonomous Fast-to-Frequency (FTF) refrigerator controller is developed, presenting a novel approach to integrate appliance-level operations with broader grid requirements. This decentralized system uniquely responds to real-time frequency changes in the power grid by dynamically adjusting the refrigerator's power consumption.
[00013] In another embodiment, the FTF controller constantly monitors the internal cavity temperature of the refrigerator, ensuring that any adjustments made for power consumption do not negatively impact the primary cooling function of the unit. This focus on thermodynamics, particularly the cavity and evaporator temperatures, differentiates the FTF controller, ensuring the user's comfort and appliance efficiency are not compromised.
[00014] In yet another embodiment, the controller's advanced algorithms optimize critical frequency security metrics. By actively enhancing the Rate of Change of Frequency (RoCoF) and the frequency nadir, the controller not only ensures efficient refrigerator operation but also contributes to the overall stability of the power grid.
[00015] In a further embodiment, the system showcases its versatility by capably managing abrupt shifts in power. These rapid switches, which may be necessitated by sudden grid fluctuations, are handled in a way that optimizes the collective participation of refrigerated units in Frequency Following Control (FFC) services.
[00016] In another embodiment, the FTF controller's adaptability is highlighted. Users or administrators can introduce modifications in the frequency and temperature parameters, which the controller processes to boost refrigerator engagement in FFC. This feature ensures the system's relevance and efficiency in diverse grid conditions.
[00017] Lastly, in an embodiment, the controller underscores its forward compatibility by offering integration options with various Thermostatically Controlled Loads (TCL) devices. By doing so, the FTF controller promises not only enhanced operational flexibility for individual refrigerators but paves the way for a more cohesive and efficient energy management ecosystem for households and commercial establishments alike.
Brief Description of the Drawings
[00018] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00019] FIG. 1 illustrates an autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller system, in accordance with an embodiment of the present disclosure.
[00020] FIG. 2 illustrates a method for utilizing an autonomous and decentralized FTF refrigerator controller, in accordance with an embodiment of the present disclosure.
[00021] FIG. 3 illustrates a typical domestic refrigerator depicting general assembly and the processing cycle: evaporation, compression, condensation and expansion, in accordance with an embodiment of the present disclosure.
[00022] FIG. 4 illustrates a detailed schematic of the proposed Fast-to-Frequency (FTF) controller, highlighting the features designed to optimize refrigerator operation for frequency response, in accordance with an embodiment of the present disclosure.
[00023] FIG. 5 illustrates the membership functions specifically crafted for both inputs and outputs within the FTF controller system, in accordance with an embodiment of the present disclosure.
[00024] FIG. 6 illustrates a generalized model of the GB system with integrated refrigerators and communication delays, in accordance with an embodiment of the present disclosure.
[00025]
Detailed Description
[00026] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00027] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00028] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00029] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00030] The invention pertains to the domain of refrigerator control systems, particularly focusing on an autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller that is tailor-made for Frequency Following Control (FFC) services.
[00031] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00032] FIG. 1 illustrates an autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller system 100 (interchangeably referred as system 100), in accordance with an embodiment of the present disclosure. The autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller system comprises a frequency detection module 102, a temperature sensor 104, a processor 106 and an interfacing module 108.
[00033] In an embodiment, the autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller system is devised to aid in the critical task of Frequency Following Control (FFC) services. The concept is to allow refrigerators, which are traditionally passive consumers of electricity, to play an active role in stabilizing the power grid by responding to the frequency fluctuations.
[00034] In an embodiment, the frequency detection module is designed with high precision and reliability in mind, the frequency detection module constantly monitors the grid for any frequency deviations. Changes in grid frequency can be indicative of an imbalance between power production and consumption. In traditional setups, without active user-end systems like this, such imbalances could lead to grid instability and even blackouts. By ensuring real-time detection, the system allows for swift corrective action.
[00035] In an embodiment, the temperature sensor continuously monitors the internal cavity temperature of the refrigerator. Such constant monitoring ensures that while the refrigerator is playing the role in stabilizing the grid, primary function of the refrigerator—preserving and cooling the contents—is not compromised. The readings of temperature sensor are essential in deciding how much power consumption of the refrigerator can be adjusted without jeopardizing the core function of refrigerator.
[00036] In an embodiment, the processor is operatively linked to both the frequency detection module and the temperature sensor. The processor receives inputs from both the aforesaid components and uses an algorithm to determine the most optimal power consumption level for the refrigerator at any given time. By accounting for both the grid's frequency deviations and the internal temperature of the refrigerator, the processor ensures that the appliance maintains a balance between the role as a grid stabilizer and the duty as a preserver of food and beverages.
[00037] In an embodiment, if the grid frequency drops, indicating excess power consumption compared to production, the refrigerator might reduce the power consumption temporarily. However, if the internal temperature is already nearing the higher limit of the safe range, the reduction in power might be minimal. Conversely, if the temperature is well within safe limits and the grid frequency rises, indicating excess power production, the refrigerator might increase the power consumption to assist in grid stabilization.
[00038] In an embodiment, the interfacing module plays a critical role in amplifying the impact of the system. While a single refrigerator making adjustments might not have a significant effect on the grid, imagine hundreds or even thousands doing so in a coordinated manner. The interfacing module allows the FTF refrigerator controller system to integrate and communicate with other external thermostatically controlled loads (TCL) devices. By doing so, a collective operational flexibility is achieved, which can have a measurable and positive effect on grid stability.
[00039] In an embodiment, while the system inherently operates autonomously, there is provision for manual overrides. The process ensures that end-users always have the final say in the operations of the appliances. If, for any reason, a user wants to prioritize the refrigerator's cooling function over the grid-stabilizing function, they can do so.
[00040] In an embodiment, with an increasing number of devices connected to the internet and communicating with each other, security risks arise. The FTF refrigerator controller system is fortified with encryption and other security protocols to ensure that the data sent and received is protected, and the refrigerator remains safe from cyber threats.
[00041] In an embodiment, the system also comes equipped with self-learning capabilities. Over time, by analyzing patterns in grid frequency fluctuations and correlating them with internal temperature changes, the processor can refine the algorithms. The process means the response of the system to grid deviations can become faster and more accurate over time, further boosting the effectiveness in aiding FFC services.
[00042] In an embodiment, the system can provide users with insights into the operations of refrigerator and the contributions to grid stability. Through an app or a dedicated interface, users can see real-time data and historical trends, fostering a sense of participation in a larger effort towards energy efficiency and grid stability.
[00043] In an embodiment, the introduction of the FTF refrigerator controller system marks a significant shift in how household appliances can be perceived. The seamless integration of real-time frequency monitoring, temperature sensing, processing, and bi-directional communication with other devices sets the stage for a new era of smart appliances that are efficient in the primary functions and also play a role in broader energy management initiatives.
[00044] In an embodiment, the processor within the autonomous and decentralized FTF refrigerator controller system incorporates adaptive algorithms that specifically aim to enhance frequency security metrics. Such enhancement zeroes in on the Rate of Change of Frequency (RoCoF) and the frequency nadir. The adaptive nature of the algorithms allows for real-time learning, making adjustments based on immediate prior data and responses. As the system interacts more with frequency deviations, the system refines the actions, ensuring an ever-improving optimization of these critical metrics, which in turn contributes to grid stability.
[00045] In an embodiment, the frequency detection module is calibrated to activate responsive actions within a set range of frequency deviation thresholds. Such calibration ensures that the system doesn't react to minor fluctuations, which might be within acceptable norms, but springs into action when deviations exceed or drop below these predetermined thresholds. Such precision calibration helps in preventing unnecessary adjustments, focusing only on significant deviations that require corrective actions.
[00046] In an embodiment, while the processor is arranged to make adjustments for FTF operations, the processor bears a strict mandate concerning the cavity and evaporator temperatures: these adjustments should not undermine the traditional cooling efficiency of the refrigerator. The

processor guarantees that while the refrigerator is actively participating in FFC services, wherein the primary objective—preserving and cooling the contents—remains uncompromised and paramount.
[00047] In an embodiment, the system is expanded to include a user interface that becomes the touchpoint between the system and the end-user, offering real-time feedback on the activities of refrigerator and participation in FFC services. Moreover, the user interface allows users to make adjustments to control settings, giving them a measure of agency in how the refrigerator interacts with the power grid and FFC services.
[00048] In an embodiment, the interfacing module, integral to the system, adopts a standardized communication protocol. Such strategic choice ensures the compatibility with a broad spectrum of TCL devices. With such a standardized approach, the ability of system to integrate, communicate, and collaborate with diverse TCL devices is significantly amplified, ensuring broader and more harmonized operational flexibility across multiple devices.
[00049] In an embodiment, the processor is arranged to handle abrupt power switches with finesse. In scenarios where there are rapid frequency deviations, the processor can swiftly execute these power switches. However, these rapid responses are crafted in such a way that they don't lead to considerable operational disruptions, ensuring smooth and nearly seamless operation even in volatile frequency environments.
[00050] In an embodiment, the processor showcases a dynamic capability wherein the processor can accept and process external modifications. The aforesaid modifications, specifically concerning frequency and temperature parameters, are processed to boost the engagement of refrigerator in FFC services. By being receptive to these external inputs, the system displays a level of flexibility that can be tailored to various operational needs.
[00051] In an embodiment, enhancing the user interface is imbued with safety and override features. Such functionality ensures that users always have the upper hand. If they feel the need, users can prioritize the standard operations of the refrigerator over the FFC service contributions. The user-centric design ensures that while the refrigerator is an active participant in grid stabilization, the end-users' needs and preferences remain paramount.
[00052] FIG. 2 illustrates a method 200 for utilizing an autonomous and decentralized FTF refrigerator controller, in accordance with an embodiment of the present disclosure. At step 202, continuously track the fluctuations in the electrical frequency of the power grid. At step 204, monitor the internal temperature of the refrigerator's cavity using sensors or measurement devices. At step 206, adjust the power consumption of the refrigerator based on the detected frequency fluctuations in the grid and the reported internal cavity temperature. At step 208, integrate with external TCL devices to achieve collective operational flexibility. These devices can be adjusted based on temperature or power considerations.
[00053] FIG. 3 illustrates a typical domestic refrigerator depicting general assembly and the processing cycle: evaporation, compression, condensation and expansion, in accordance with an embodiment of the present disclosure. Starting with the evaporation phase, the refrigerant absorbs heat from the interior of refrigerator, causing the refrigerant to evaporate. The gaseous refrigerant then moves to the compression phase, where the gaseous refrigerant is compressed by a compressor, raising the temperature and pressure. In the subsequent condensation phase, the high-pressure hot gas releases the heat to the external environment, reverting to a liquid state. Finally, in the expansion phase, the high-pressure liquid refrigerant passes through an expansion valve, reducing the pressure and temperature before returning to the evaporator to repeat the cycle. The continuous process ensures the interior remains cold, preserving the contents of the refrigerator.
[00054] FIG. 4 illustrates a detailed schematic of the proposed Fast-to-Frequency (FTF) controller, highlighting the features designed to optimize refrigerator operation for frequency response, in accordance with an embodiment of the present disclosure. The depiction showcases a triggering mechanism which acts as the initial point of action, sensing real-time grid frequency deviations. Once activated, the FTF controller transitions to the local hysteresis controller, which manages the intervals between switching states, ensuring a balance between response speed and stability. Additionally, a Fuzzy Logic Control (FLC) scheme is prominently featured, demonstrating the role in refining operational decisions by interpreting various inputs in terms of degrees of truth rather than traditional boolean logic. The FLC scheme aids in providing control over refrigerator operations, enhancing power adjustments based on frequency fluctuations and internal temperature conditions.
[00055] FIG. 5 illustrates the membership functions specifically crafted for both inputs and outputs within the FTF controller system, in accordance with an embodiment of the present disclosure. The aforesaid functions serve as the foundation for interpreting continuous variables and converting them into a form more suitable for fuzzy logic processing. The figure highlights the defined curves and shapes, representing degrees of membership for various linguistic terms or variables. The linguistic variables, essential components in fuzzy logic control, provide the necessary descriptors like "low", "medium", and "high" which allow the system to interpret and process data in a more qualitative manner. By mapping these linguistic variables to specific ranges of input and output values, FIG. 5 essentially showcases the process by which the system quantifies subjective concepts, ensuring that the FTF controller system makes informed decisions based on nuanced and contextual understanding, rather than relying solely on strict binary conditions.
[00056] FIG. 6 illustrates a generalized model of the GB system with integrated refrigerators and communication delays, in accordance with an embodiment of the present disclosure. As illustrated, the study noted a total in-feed deficit of 1000 MW, with RoCoF values between 0.168 Hz/s and 0.116 Hz/s over a 500 ms span. Anticipating future grid changes, the inertia constant H, currently at 6.5 s, is projected to decline due to the rise of renewable energy integrations. The effect of frequency-dependent load is represented by a damping constant, D, set at 1 [p.u.]. Two collective generators, Gen1 and Gen2, serve different frequency responses, with 80% partitioning between them. Large generators necessitate a 3-5% governor droop feature, modelled with a gain of 1/R where R equals 0.05. Stability in frequency control is ensured by integrating a transient droop compensator with specific time constants. Additionally, the turbine's mechanical power has a designated time constant, and an auxiliary control coefficient, Ki, is set. The communication delay for the TCLs is also considered, with 'a' indicating the incremental step.Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are contained in the above discussions, these should not be construed as limitations on the scope of the subject matter described herein, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
[00057] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00058] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.
[00059] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00060] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00061] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.

Claims
I/We Claim:
1. An autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller system, comprising:
a frequency detection module for monitoring real-time grid frequency deviations;
a temperature sensor to continuously gauge and report the internal cavity temperature of the refrigerator;
a processor operatively coupled to said frequency detection module and temperature sensor, said processor being programmed to dynamically adjust power consumption of the refrigerator based on detected frequency fluctuations and reported internal cavity temperature; and
an interfacing module facilitating integration and communication with external Thermostatically Controlled Loads (TCL) devices for collective operational flexibility.
2. The system of claim 1, wherein the processor uses adaptive algorithms to enhance frequency security metrics, specifically optimizing the Rate of Change of Frequency (RoCoF) and frequency nadir.
3. The system of claim 1, wherein said frequency detection module is calibrated to trigger responsive actions within predetermined frequency deviation thresholds.
4. The system of claim 1, wherein the processor ensures that alterations due to FTF operations, concerning the cavity and evaporator temperatures, do not compromise the conventional cooling efficiency of the refrigerator.
5. The system of claim 1, further comprising a user interface that provides real-time feedback and control settings adjustment for users concerning FFC service participation.
6. The system of claim 1, wherein the interfacing module employs a standardized communication protocol compatible with a plurality of TCL devices.
7. The system of claim 1, wherein the processor is further configured to execute abrupt power switches in response to rapid frequency deviations without causing significant operational disruptions.
8. The system of claim 1, wherein the processor can receive and process external modifications pertaining to frequency and temperature parameters, allowing enhanced refrigerator participation in FFC.
9. The system of claim 5, wherein the user interface includes safety and override functionalities, enabling users to prioritize conventional refrigerator operations over FFC services when needed.
10. A method of utilizing an autonomous and decentralized FTF refrigerator controller, comprising the steps of:
monitoring real-time grid frequency deviations;
continuously gauging the internal cavity temperature of a refrigerator;
dynamically adjusting the refrigerator’s power consumption based on detected frequency fluctuations and reported internal cavity temperature; and
integrating and communicating with external TCL devices to achieve collective operational flexibility.

FREQUENCY-RESPONSIVE SWITCHING CONTROLLER FOR THERMOSTATICALLY CONTROLLED LOADS
Abstract
The disclosure unveils a Fast-to-Frequency (FTF) refrigerator controller that autonomously optimizes for Frequency Following Control (FFC) services. This controller adjusts the refrigerator's power consumption in response to grid frequency fluctuations and the appliance's internal cavity temperature. Crucially, it enhances frequency security metrics, such as the Rate of Change of Frequency (RoCoF) and frequency nadir. The controller ensures that these adjustments don't affect the standard operations or thermodynamics of the refrigerator. Additionally, it smoothly handles rapid power switches, thus maximizing refrigerators' collective participation in FFC while preserving user comfort. The controller's functionality can be amplified by modifying frequency and temperature parameters and integrating it with other Thermostatically Controlled Loads (TCL) devices, making it a versatile tool for advanced energy management. , C , Claims:Claims
I/We Claim:
1. An autonomous and decentralized Fast-to-Frequency (FTF) refrigerator controller system, comprising:
a frequency detection module for monitoring real-time grid frequency deviations;
a temperature sensor to continuously gauge and report the internal cavity temperature of the refrigerator;
a processor operatively coupled to said frequency detection module and temperature sensor, said processor being programmed to dynamically adjust power consumption of the refrigerator based on detected frequency fluctuations and reported internal cavity temperature; and
an interfacing module facilitating integration and communication with external Thermostatically Controlled Loads (TCL) devices for collective operational flexibility.
2. The system of claim 1, wherein the processor uses adaptive algorithms to enhance frequency security metrics, specifically optimizing the Rate of Change of Frequency (RoCoF) and frequency nadir.
3. The system of claim 1, wherein said frequency detection module is calibrated to trigger responsive actions within predetermined frequency deviation thresholds.
4. The system of claim 1, wherein the processor ensures that alterations due to FTF operations, concerning the cavity and evaporator temperatures, do not compromise the conventional cooling efficiency of the refrigerator.
5. The system of claim 1, further comprising a user interface that provides real-time feedback and control settings adjustment for users concerning FFC service participation.
6. The system of claim 1, wherein the interfacing module employs a standardized communication protocol compatible with a plurality of TCL devices.
7. The system of claim 1, wherein the processor is further configured to execute abrupt power switches in response to rapid frequency deviations without causing significant operational disruptions.
8. The system of claim 1, wherein the processor can receive and process external modifications pertaining to frequency and temperature parameters, allowing enhanced refrigerator participation in FFC.
9. The system of claim 5, wherein the user interface includes safety and override functionalities, enabling users to prioritize conventional refrigerator operations over FFC services when needed.
10. A method of utilizing an autonomous and decentralized FTF refrigerator controller, comprising the steps of:
monitoring real-time grid frequency deviations;
continuously gauging the internal cavity temperature of a refrigerator;
dynamically adjusting the refrigerator’s power consumption based on detected frequency fluctuations and reported internal cavity temperature; and
integrating and communicating with external TCL devices to achieve collective operational flexibility.