Description:TECHNICAL FIELD
[0001] The present disclosure relates generally to the technical field of energy storage systems and power quality improvement in electric grids. In particular, the present disclosure pertains to a system and method for managing energy storage in an electric grid unit.

BACKGROUND
[0002] 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] In modern electrical grid units, energy storage solutions contribute significantly to maintaining overall stability and efficiency. Electrical grids are increasingly faced with dynamic variations in load and generation, driven by diverse factors ranging from renewable energy integration to fluctuating consumer demands. Robust energy storage methodologies are necessary to support both the continuous supply of power and the rapid response required during transient events. Many systems today utilize various forms of storage to balance steady operations with momentary shifts in demand, highlighting the relevance of effective energy management within grid infrastructures
[0004] There is a growing emphasis on designs that can seamlessly handle both steady-state and transient power components. In applications such as renewable energy-supported microgrids or electric vehicles, maintaining high power quality and reliable performance is of significant importance. Electrical systems are required to deliver consistent energy while simultaneously mitigating rapid shifts that could compromise grid stability. This calls for the development of systems capable of intentionally segregating and managing different types of power loads, ensuring that high-energy density devices and longer-duration energy storage sustain effective performance without being overburdened by rapid transient demands.
[0005] Conventional energy storage configurations often face challenges when attempting to balance sustained energy delivery with the rapid response required during transient events. A primary concern in these systems is the tendency of storage components to be subjected to operational stresses beyond their optimal design parameters when addressing both steady and rapidly changing power demands. In some cases, devices designed for steady discharge are forced to handle transients, leading to potential degradation, increased maintenance requirements, and reduced operational life. Such shortcomings highlight the ongoing need for energy management strategies that can handle grid disturbances in a more controlled and efficient manner.
[0006] Specifically, when storage devices are expected to support dynamic power quality improvement, issue arises in aligning the functional characteristics of different storage elements with the corresponding demands of the grid. Existing configurations may not sufficiently distinguish between the requirements for a sustained energy supply and the demands of transient, high-power conditions. This mismatch can result in decreased performance, particularly under varying load conditions where precise and timely energy management is of significant importance.
[0007] There remains a need for a solution that can allocate energy delivery responsibilities in a more tailored and effective manner, ensuring that grid performance is maintained while extending the operational life of the storage devices.
[0008] Therefore, there is a need in the art to provide a system and method for managing energy storage in an electric grid unit.

OBJECTS OF THE PRESENT DISCLOSURE
[0009] An object of the present disclosure relates, in general, to the field of energy storage systems and power quality improvement in electric grids, and more specifically, relates to a system and method for managing energy storage in an electric grid unit.
[0010] Another object of the present disclosure is to develop a system and method that effectively manages energy discharge by segregating steady-state and transient power demands, ensuring optimal utilization of both low power density and high power density energy storage devices.
[0011] Another object of the present disclosure is to maintain a constant discharge level for the low power density energy storage device (e.g., battery), thereby reducing operational stress and extending its lifespan.
[0012] Another object of the present disclosure is to dynamically allocate power delivery responsibilities between the battery and supercapacitor based on real-time grid demands.
[0013] Yet another object of the present disclosure is to mitigate harmonics and reactive power components in the electric grid unit, thereby improving the overall efficiency and reliability of the electric grid unit.
[0014] Yet another object of the present disclosure is to provide a system that can be adapted for various applications, including renewable energy-supported microgrids, electric vehicles, and other dynamic power systems requiring high power quality and efficient energy storage management.
[0015] Yet another object of the present disclosure is to provide a system that minimizes long-term operational costs by enhancing the lifespan of battery through controlled discharge strategies, effectively reducing maintenance requirements and replacement frequency.

SUMMARY
[0016] The present disclosure relates, in general, to the field of energy storage systems and power quality improvement in electric grids, and more specifically, relates to a system and method for managing energy storage in an electric grid unit.
[0017] According to an aspect, the present disclosure relates to a method for managing energy storage in an electric grid unit. The method comprises the step of
deploying a Combination Energy Storage System (CESS) operatively coupled to the electric grid unit. The CESS comprises at least one first energy storage device and at least one second energy storage device. Further, the method comprises the step of generating, by a control unit, reference compensating signals, based on operating conditions of the electric grid unit using a filter algorithm, where the reference compensating signals comprise a steady-state component and a transient state component. Furthermore, the method comprises the step of assigning, by the control unit, the steady state component of the reference compensating signals to the at least one first energy storage device, and the transient state component of the compensating signals to the at least one second energy storage device. Moreover, the method comprises the step of regulating energy discharge of the first and second energy storage devices, based on the assigned signal components thereto. In addition, the method comprises the step of dynamically adjusting an energy flow from the CESS to the electric grid unit, based on the regulated energy discharge, to meet real-time power demand of the electric grid unit.
[0018] In one or more embodiments, the method may include the step monitoring, by a power quality improvement filter, voltage and current waveforms on the electric grid unit. Further, the method may include compensating, by the a power quality improvement filter, for transient, harmonic, and reactive components in a load voltage and/or a load current to improve power quality in the electric grid unit. Furthermore, the method may include controlling, by the a power quality improvement filter, a sinusoidal utility voltage waveform to operate the electric grid unit at unity power factor conditions under varying load and supply conditions.
[0019] In one or more embodiments, the step of generating reference compensation signals using the filter algorithm, may be performed by any of series filtering or shunt filtering, based on configuration of the electric grid unit.
[0020] In one or more embodiments, the reference compensation signals for series filtering may be voltage compensation signals, and the reference compensation signals for shunt filtering may be current compensation signals.
[0021] In one or more embodiments, the at least one first energy storage device may be a low power density energy storage device that may include one or more batteries. Further, the at least one second energy storage device may be a high power density energy storage device that may include one or more supercapacitors.
[0022] In another aspect, the present disclosure pertains to a system for managing energy storage in an electric grid unit, the system includes a Combination Energy Storage System (CESS) operatively coupled to the electric grid unit. The CESS comprises at least one first energy storage device and at least one second energy storage device. Further the system includes a control unit operatively coupled to the CESS. The control unit includes one or more processors, and a memory coupled to the one or more processors (collectively referred as “processors” hereinafter). The memory comprises processor-executable instructions, which on execution, causes the processors to generate reference compensating signals, based on operating conditions of the electric grid unit using a filter algorithm. The reference compensating signals include a steady-state component and a transient state component. The processors are configured to assign the steady state component of the reference compensating signals to the at least one first energy storage device, and the transient state component of the compensating signals to the at least one second energy storage device. Further, the processors are configured to regulate energy discharge of the first and second energy storage device, based on the assigned signal components thereto. Furthermore, the processors are configured to dynamically adjust an energy flow from the CESS to the electric grid unit, based on the regulated energy discharge, to meet real-time power demand of the electric grid unit.
[0023] In one or more embodiments, the system may include a power quality improvement filter coupled to the control unit. The power quality improvement filter may be configured to monitor voltage and current waveforms on the electric grid unit. Further, the power quality improvement filter may be configured to compensate for transient, harmonic, and reactive components in a load voltage and/or a load current to improve power quality in the electric grid unit. The a power quality improvement filter unit may control a sinusoidal utility voltage waveform to operate the electric grid unit at unity power factor conditions under varying load and supply conditions.
[0024] In one or more embodiments, generation of the reference compensation signals may be performed by any of series filtering or shunt filtering, based on configuration of the electric grid unit.
[0025] In one or more embodiments, the reference compensation signals for series filtering may be voltage compensation signals, and the reference compensation signals for shunt filtering may be current compensation signals.
[0026] In one or more embodiments, the at least one first energy storage device may be a low power density energy storage device that may include one or more batteries. Further, the at least one second energy storage device may be a high power density energy storage device that may include one or more supercapacitors.
[0027] Various objects, features, aspects, and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.

BRIEF DESCRIPTION OF THE DRAWINGS
[0028] The following drawings form part of the present specification and are included to further illustrate aspects of the present disclosure. The disclosure may be better understood by reference to the drawings in combination with the detailed description of the specific embodiments presented herein.
[0029] FIG. 1A illustrates an exemplary block diagram representing a proposed system for managing energy storage in an electric grid unit, in accordance with one or more embodiments of the present disclosure.
[0030] FIG. 1B illustrates an exemplary diagram of an electric grid unit deployed with the proposed system of FIG, 1A, in accordance with one or more embodiments of the present disclosure.
[0031] FIG. 2A show a reference current generated for a battery and supercapacitor along with the required DC link current, in accordance with one or more embodiments of the present disclosure.
[0032] FIG. 2B shows hardware results for the reference current generated for the battery and supercapacitor along with the required DC link current, in accordance with one or more embodiments of the present disclosure.
[0033] FIG. 3 illustrates an exemplary flowchart of a proposed method managing energy storage in an electric grid unit, in accordance with one or more embodiments of the present disclosure.

DETAILED DESCRIPTION
[0034] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0035] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0036] The present disclosure relates, in general, to the field of energy storage systems and power quality improvement in electric grids, and more specifically, relates to a system and method for managing energy storage in an electric grid unit.
[0037] Existing energy storage systems and conventional power quality improvement solutions in electric grids exhibit critical shortcomings in effectively managing the distinct characteristics of transient and steady-state power demands. These systems typically fail to differentiate between short-duration power fluctuations and continuous load requirements, resulting in indiscriminate use of batteries for all power events. This leads to frequent and irregular discharges that accelerate battery wear, reduce operational lifespan, and increase the total cost of ownership. Moreover, traditional power quality filters are generally static and lack the intelligence to dynamically coordinate with energy storage resources for comprehensive compensation of real, reactive, and harmonic power. As a result, they are unable to adaptively support grid stability and optimal power quality under fluctuating load and supply conditions.
[0038] The proposed system and method overcome the limitations of conventional energy storage and power quality solutions by introducing a smart-switching framework within a combinational energy storage system (CESS). Utilizing an Adaptive Smart-Switching Energy Management Algorithm, the system intelligently distinguishes between transient and steady-state components of a reference voltage or current. This targeted allocation enables a battery to handle only steady-state demands, maintaining a stable discharge profile that significantly extends its lifespan. Simultaneously, a supercapacitor addresses high-frequency transients, harmonic distortion, and sudden load changes, leveraging its fast response and high power density. By dynamically coordinating these devices, the system delivers real, reactive, and harmonic power compensation as needed, ensuring enhanced power quality and operational efficiency across a wide range of grid conditions.
[0039] Referring to FIGs. 1A & 1B, the disclosed system 100 includes a Combination Energy Storage System (CESS) 104 operatively coupled to an electric grid unit 102 (simply referred as “grid unit 102” or “grid 102” hereinafter). The CESS 104 includes at least one first energy storage device 104-1, and at least one second energy storage device 104-2. The at least one first energy storage device 104-1 may be a low power density energy storage device that may include one or more batteries (individually or collectively referred as “battery” or “batteries” hereinafter), and the at least one second energy storage device 104-2 may be a one high power density energy storage device that may include one or more supercapacitors (individually or collectively referred as “supercapacitor” or “supercapacitors” hereinafter). Further the system 100 includes a control unit 106 operatively coupled to the CESS 104. The control unit 106 includes one or more processors, and a memory coupled to the one or more processors (collectively referred as “processors” hereinafter). The memory comprises processor-executable instructions, which on execution, causes the processors to generate reference compensating signals, based on operating conditions of the electric grid unit 102 using a filter algorithm. The reference compensating signals include a steady-state component and a transient state component. Generation of the reference compensation signals may be performed by any of series filtering or shunt filtering, based on configuration of the electric grid unit 102. The reference compensation signals for series filtering can be voltage compensation signals, and the reference compensation signals for shunt filtering can be current compensation signals.
[0040] The processors are configured to assign the steady state component of the reference compensating signals to the at least one low power density energy storage device 104-1 so that a constant discharging level is maintained for extending life of the at least low power energy storage device, and the transient state component of the compensating signals to the at least one high power density energy storage device 104-2 for transient charging and discharging possibilities. Further, the processors are configured to regulate energy discharge of the low and high power density energy storage device, based on the assigned signal components thereto. Furthermore, the processors are configured to dynamically adjust an energy flow from the CESS 104 to the electric grid unit 102, based on the regulated energy discharge, to meet real-time power demand of the electric grid unit 102.
[0041] In an embodiment, the filter algorithm that can be implemented using Adaptive Smart-Switching Energy Management Algorithm. However, the invention is not limited to this specific control strategy. The filter algorithm may alternatively include, but is not limited to, predictive control algorithms, machine learning-based adaptive filtering algorithms, model predictive control (MPC), fuzzy logic controllers, or any other algorithmic approach capable of decomposing power signals into steady-state and transient components and coordinating the discharge of combinations energy storage devices based on dynamic grid conditions. The selection of the specific filter algorithm can depend on the system 100 configuration, load profile, computational resources, or grid compliance requirements.
[0042] In an exemplary embodiment, the control unit 106 may include but is not limited to a microcontroller, digital signal processor (DSP), field-programmable gate array (FPGA), application-specific integrated circuit (ASIC), system-on-chip (SoC), or any suitable combination thereof. The control unit 106 is configured to execute one or more control algorithms, such as the Adaptive Smart-Switching Energy Management Algorithm, for monitoring electrical parameters, processing reference compensation signals, and regulating the operation of energy storage devices in response to real-time grid conditions. In various embodiments, the control unit 106 may interface with voltage and current sensors, power conversion stages, and communication modules, and may include on-board memory and input/output (I/O) interfaces for data logging, parameter tuning, and remote configuration. The control logic may be implemented in hardware, software, firmware, or any combination thereof.
[0043] In an embodiment, the system 100 can include at least two power conditioning interfaces 110 coupled to the first and second energy storage devices 104-1, 104-2. The at least two power conditioning interfaces 110 can be any one or combination of: a buck convertor or a booster converter configured to adjust voltage level between the CESS 104 and a Direct Current (DC) link or grid interface. The converters 110 can ensure that the voltage from the energy storage devices whether higher or lower than the system voltage is regulated to the required level for the DC bus or load.
[0044] In an embodiment, the system 100 can include a power quality improvement filter 108 coupled to the control unit 106. The power quality improvement filter 108 can be configured to monitor voltage and current waveforms on the electric grid unit 102. Further, the power quality improvement filter 108 can be configured to compensate for transient, harmonic, and reactive components in a load voltage and/or a load current to improve power quality in the electric grid unit 102. The power quality improvement filter 108 can control a sinusoidal utility voltage waveform to operate the electric grid unit 102 at unity power factor conditions under varying load 114 and supply conditions. In an embodiment, the power quality improvement filter can be selected from but not limited to active filters, passive filters, dynamic voltage restorer, Dynamic Voltage Restorer (DVR), Static Synchronous Compensator (STATCOM), Unified Power Quality Conditioner (UPQC), and the like. In a preferred embodiment the power quality improvement filter 108 can be the active filter.
[0045] In an embodiment, coupling transformers 112 can be configured to interface the active filter 108 with electrical loads or grids. The coupling transformers 112 can isolate the active filter’s power electronics from the grid or load, ensuring safe operation and protecting sensitive equipment. Further, they adjust the voltage levels between the active filter 108 and the point of load connection, ensuring compatibility with the grid 102 or load side 114.
[0046] The system 100 can include a Direct Current (DC) link 116 configured to serve as an energy buffer and voltage stabilizer between the energy storage devices and the grid interface. The DC link 116 can maintain a regulated DC voltage level, enabling stable and efficient power transfer by decoupling energy storage charging and discharging events. It facilitates power coordination by integrating inputs from multiple energy storage devices and conditioning the power before delivery to the grid. Further, a grid-side converter 118 can be coupled to the DC link 116 which acts as a bidirectional power electronic interface for converting the conditioned DC power into synchronized AC power compatible with the utility grid. The grid-side converter 118 can be configured to inject real, reactive, and harmonic power into the grid in accordance with reference compensation signals, thereby supporting dynamic power quality improvement. Additionally, the grid-side converter 118 can synchronize its output voltage and frequency with the grid using control algorithms such as phase-locked loops and operates at or near unity power factor to enhance overall grid efficiency and stability.
[0047] In an embodiment, the current compensation signals in the case of shunt filtering can be generated focusing on the retrieval of only an active portion of the fundamental load current as the only component of the load current to be supplied by mains to the load. Rest of the components of the load current including transients, harmonics and fundamental frequency reactive component are all part of the reference filter current for a shunt active filter. This active portion of the fundamental load current is retrieved as a magnitude based on the fact that at 1800 of the supply voltage, the magnitude of the fundamental frequency load current reaches exactly this value of only the active portion of load current. Therefore, when extracting the fundamental frequency component of the load current using a second order bi-qaud filter, which gives an inherent phase shift of 900 the instantaneous value becomes exactly equal to the active part alone of the fundamental frequency load current. When extracting the fundamental frequency load current at exactly 180 degrees of the supply voltage, the fundamental frequency instantaneous value matches the active portion of the fundamental frequency current which is equal to IcosΦ.

iL= |ILm|Sin(180-90-Φ)
At wt=180, iLF= ILm|Sin(180-90-Φ)
=|IcosΦ|
[0048] This ILF component multiplied with unit template of the supply voltage of each phase gives the reference for the currents to be supplied by a source, which when subtracted with the load current gives the current compensation signals for the shunt active filter in each phase.
[0049] Alternatively, if series filtering is preferred then the voltage compensating signals are generated by extracting the fundamental components of the source voltage Vs. The fundamental components of the source voltage Vs can be extracted using a second order bi-quad filter the phase shift corrected by a phase shifter circuit. Firstly, it can be processed through the second-order bi-quad filter to extract the fundamental component. As the bi-quad filter inherently introduces a 90° phase shift, a phase shifter is used to correct it. Using a peak detection circuit, the magnitude of VD is extracted and the fundamental component of Vs can be divided by this magnitude to generate Us, the unit amplitude sine template for an ideal Point of Common Coupling (PCC) voltage. Template for other two phases can be generated using phase shifters. The PCC voltages after series compensation can be obtained as the unit amplitude template Vs(abc) multiplied by the rated bus voltage at the PCC. The difference between the actual and the ideal PCC voltages can give the references for the series active filter.
[0050] Let denote the generated reference compensation voltage signals (for series active filter) as Fabc and reference compensation signals (for shunt active filter) as iFabc .
[0051] Mapping into two axis ( ) from three axis system using Park’s transform matrix,
-------(1)
----------(2) if series active filter is used

--------(3)
--------(4) if shunt active filter is used
Where , and are the current compensation signals
[0052] The active and reactive power of the series active filter can be derived as the product of the filter voltage matrix and filter current.
-------(5)
[0053] Where and can be the reference compensation signals and , can be the line currents if the series active filter is used. Alternatively, if shunt active filter is used, and can be the line voltages at the PCC where the shunt active filter is connected, and , can be the reference compensation current signals of the shunt active filter. This power matrix itself, can be split up into two components, steady components and transient components which is represented as Pdc and Pac
----------(6)
[0054] Similarly reactive power also split up into steady components and transient components which is represented as Qdc and Qac
--------(7)
[0055] As the battery need to supply only steady or constant current whereas the supercapacitor in CESS 104 has to supply transient and constant part of the current, the reference discharge currents for the battery and supercapacitor can be extracted from the steady part and transient parts of the power as,
-----------(8)
----------(9)
-----------(10)
---------(11)
[0056] Thus in this model of the CESS 104 which supports the discharge of steady state current from the low power density device and instantaneous transient current discharge from the supercapacitor which is the high power density device of the CESS 104, this “Adaptive Smart-Switching Energy Management Algorithm” ensures that whether it is a series filtering with voltage compensation signals or shunt filtering with current compensation signals the battery discharges only steady part of the current and supercapacitor discharges the transient part and also steady part as and when required whatever is the demand as shown in hardware results for the reference current generated for the battery and supercapacitor along with the required DC link current in FIG. 2B.
[0057] Referring to FIG. 2A, a graph shows the reference current generated for the battery and supercapacitor along with the required Direct Current (DC) link current. As depicted, the battery current remains largely constant over time, indicating its role in supplying the steady-state component of the power demand. This consistent discharge pattern helps reduce battery stress and extend its operational lifespan. In contrast, the supercapacitor current varies significantly, responding dynamically to transient events such as sudden load changes or harmonic disturbances. This illustrates the supercapacitor’s function in managing short-duration, high-power demands due to its fast response and high power density. The DC link current, representing the total required output from the CESS 104, closely follows the actual load profile. This coordinated response between the battery and supercapacitor, driven by the Adaptive Smart-Switching Energy Management Algorithm, ensures that power quality is maintained while optimizing the performance and longevity of each storage component.
[0058] Referring to FIG. 3, a method 300 for managing energy storage in an electric grid unit 102 is disclosed. At step 302, the method 300 includes the step of deploying a Combination Energy Storage System (CESS) 104 operatively coupled to the electric grid unit 102, wherein the CESS 104 comprises at least one first energy storage device 104-1 and at least one second energy storage device 104-2.
[0059] At step 304, the method 300 can include the step of generating, by a control unit 106, reference compensating signals, based on operating conditions of the electric grid unit 102 using a filter algorithm, wherein the reference compensating signals comprise a steady-state component and a transient state component.
[0060] At step 306, the method 300 can further include the step of assigning, by the control unit 106, the steady state component of the reference compensating signals to the at least one first energy storage device, and the transient state component of the compensating signals to the at least one second energy storage device. At step 308, the method 300 can include the step of regulating, by the control unit 106, energy discharge of the first and second energy storage devices 104-1, 104-2, based on the assigned signal components thereto.
[0061] At step 310, the method 300 can include the step of dynamically adjusting, by the control unit 106, an energy flow from the CESS 104 to the electric grid unit 102, based on the regulated energy discharge, to meet real-time power demand of the electric grid unit 102.
[0062] In an embodiment, the method 300 can include the step of monitoring, by a power quality improvement filter 108, voltage and current waveforms on the electric grid unit 102. Further, the method 300 can include compensating, by the power quality improvement filter 108, for transient, harmonic, and reactive components in a load voltage and/or a load current to improve power quality in the electric grid unit 102. Furthermore, the method 300 can include controlling, by the power quality improvement filter 108, a sinusoidal utility voltage waveform to operate the electric grid unit 102 at unity power factor conditions under varying load and supply conditions.
[0063] In an embodiment, the step of generating reference compensation signals using the filter algorithm, can be performed by any of series filtering or shunt filtering, based on configuration of the electric grid unit 102. The reference compensation signals for series filtering can be voltage compensation signals, and the reference compensation signals for shunt filtering can be current compensation signals.
[0064] In an embodiment, the at least one first energy storage device 104-1 may be a low power density energy storage device that can include one or more batteries. Further, the at least one second energy storage device 104-2 may be a high power density energy storage device that can be one or more supercapacitors.
[0065] A person skilled in the art would appreciate that the proposed method 300 and system 100 efficiently optimize power quality and energy storage performance by leveraging smart switching between low and high power density energy storage devices 104-1, 104-2. The Adaptive Smart-Switching Energy Management Algorithm enables precise separation and allocation of steady-state and transient power demands, ensuring the battery operates under stable conditions while the supercapacitor handles rapid fluctuations. This coordinated control extends life of the battery, enhances responsiveness of the system 100, and supports both series and shunt filtering with accurate compensation of real, reactive, and harmonic power resulting in improved grid reliability, voltage quality, and near-unity power factor.
[0066] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0067] It will be apparent to those skilled in the art that the system 100 and method 300 of the disclosure may be provided using some or all of the mentioned features and components without departing from the scope of the present disclosure. While various embodiments of the present disclosure have been illustrated and described herein, it will be clear that the disclosure is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the scope of the disclosure, as described in the claims.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0068] The present invention provides a system and method for managing energy storage in an electric grid unit.
[0069] The present invention develop a system and method that effectively manages energy discharge by segregating steady-state and transient power demands, ensuring optimal utilization of both low power density and high power density energy storage devices.
[0070] The system and method of the present invention helps in maintaining a constant discharge level for the low power density energy storage device (e.g., battery), thereby reducing operational stress and extending its lifespan.
[0071] The present invention provides a system and method that dynamically allocates power delivery responsibilities between the battery and supercapacitor based on real-time grid demands.
[0072] The present invention provides a system and method that mitigate harmonics and reactive power components in the electric grid unit, thereby improving the overall efficiency and reliability of the electric grid unit.
[0073] The present invention provides a system that is adapted for various applications, including renewable energy-supported microgrids, electric vehicles, and other dynamic power systems requiring high power quality and efficient energy storage management.
[0074] The present invention reduces waste and promotes sustainable energy practices, particularly in renewable energy-supported systems by improving the efficiency and lifespan of energy storage devices.
[0075] The present invention provides a system that minimizes long-term operational costs by enhancing the lifespan of battery through controlled discharge strategies, effectively reducing maintenance requirements and replacement frequency.
, Claims:1. A method (300) for managing energy storage in an electric grid unit (102), wherein the method (300) comprising:
deploying a Combination Energy Storage System (CESS) (104) operatively coupled to the electric grid unit (102), wherein the CESS (104) comprises at least one first energy storage device (104-1), and at least one second energy storage device (104-2);
generating, by a control unit (104), reference compensating signals, based on operating conditions of the electric grid unit (102) using a filter algorithm, wherein the reference compensating signals comprise a steady-state component and a transient state component;
assigning, by the control unit (106), the steady state component of the reference compensating signals to the at least one first energy storage device (104-1), and the transient state component of the compensating signals to the at least one second energy storage device (104-2);
regulating, by the control unit (106) energy discharge of the first and second energy storage devices (104-1, 104-2), based on the assigned signal components thereto; and
dynamically adjusting, by the control unit (106), an energy flow from the CESS (104) to the electric grid unit (102), based on the regulated energy discharge, to meet real-time power demand of the electric grid unit (102).
2. The method (300) as claimed in claim 1, comprising the step of:
monitoring, by a power quality improvement filter (108), voltage and current waveforms on the electric grid unit (102);
compensating, by the power quality improvement filter (108), for transient, harmonic, and reactive components in a load voltage and/or a load current to improve power quality in the electric grid unit (102); and
controlling, by the power quality improvement filter (108), a sinusoidal utility voltage waveform to operate the electric grid unit (102) at unity power factor conditions under varying load and supply conditions.
3. The method (300) as claimed in claim 1, wherein the step of generating reference compensation signals using the filter algorithm, is performed by any of series filtering or shunt filtering, based on configuration of the electric grid unit (102).
4. The method (300) as claimed in claim 1, wherein the reference compensation signals for series filtering are voltage compensation signals, and the reference compensation signals for shunt filtering are current compensation signals.
5. The method (300) as claimed in claim 1, wherein the at least one first energy storage device (104-1) is a low power density energy storage device comprises one or more batteries, and the at least one second energy storage device (104-2) is a high power density energy storage device comprises one or more supercapacitors.
6. A system (100) for managing energy storage in an electric grid unit (102), the system (100) comprising:
a Combination Energy Storage System (CESS) (104) operatively coupled to the electric grid unit (102), wherein the CESS (104) comprises at least one first energy storage device (104-1), and at least one second energy storage device (104-2);
a control unit (106) operatively coupled to the CESS (104), wherein the control unit (106) comprises one or more processsors, and a memory coupled to the one or more processors, wherein the memory comprises processor-executable instructions, which on execution, causes the one or more processors to:
generate reference compensating signals, based on operating conditions of the electric grid unit (102) using a filter algorithm, wherein the reference compensating signals comprise a steady-state component and a transient state component;
assign the steady state component of the reference compensating signals to the at least one first energy storage device (104-1), and the transient state component of the compensating signals to the at least one second energy storage device (104-2);
regulate energy discharge of the first and second energy storage devices (104-1, 104-2), based on the assigned signal components thereto; and
dynamically adjust an energy flow from the CESS 104 to the electric grid unit (102), based on the regulated energy discharge, to meet real-time power demand of the electric grid unit (102).
7. The system (100) as claimed in claim 6, comprising a power quality improvement filter (108) coupled to the control unit (106), wherein the power quality improvement filter (108) is configured to:
monitor voltage and current waveforms on the electric grid unit (102);
compensate for transient, harmonic, and reactive components in a load voltage and/or a load current to improve power quality in the electric grid unit (102); and
control a sinusoidal utility voltage waveform to operate the electric grid unit (102) at unity power factor conditions under varying load and supply conditions.
8. The system (100) as claimed in claim 6, wherein the generated reference compensation signals using the filter algorithm is performed by any of series filtering or shunt filtering, based on configuration of the electric grid unit (102).
9. The system (100) as claimed in claim 8, wherein the reference compensation signals for series filtering are voltage compensation signals, and the reference compensation signals for shunt filtering are current compensation signals.
10. The system (100) as claimed in claim 6, wherein the at least one first energy storage device (104-1) is a low power density energy storage device comprises one or more batteries, and the at least one second energy storage device (104-2) is a high power density energy storage device comprises one or more supercapacitors.