Description:TECHNICAL FIELD
[0001] The present invention relates to the photovoltaic systems. In particular, it relates to a solar photovoltaic system with power stability management and method thereof.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0003] The wide usage of solar photovoltaic (PV) power systems is challenging because of the high implementation cost and low efficiency. The search for different methods to increase the efficiency started long back and the maximum achievable efficiency is less than 30% now. Thus, the main challenge relates to executing multiple ways for increasing the efficiency of solar power systems. Solar panel arrays are frequently subjected to partial shading conditions, and temperature variation problems and this is a major reason for power decrease in solar. When the solar PV arrays is operating under these conditions, many local peaks will appear in the output characteristics which is undesirable for working of devices connected to the PV system. Under uniform irradiation conditions the PV output characteristic exhibits a single power maximum, known as the maximum power point (MPP). Tracking of MPP is crucial in a PV system to optimize the power output of the PV array. PV systems must be designed to operate at MPP regardless of the variation in different external factors such as solar irradiance, cloud passing, system and surrounding temperature etc. The influence of external conditions, cause a standard MPPT algorithm to miss the target by converging to a local maximum rather than the global maximum, resulting in a large loss in output power and, as a result, a poor overall system yield.
[0004] Several systems are developed to maintain a maximum power output in solar PV systems introducing additional circuitry to the solar PV system. One of the existing patent application IN202031004481A, entitled “Smart power management system”, discloses a system using photovoltaic array to generate electricity by converting solar energy into electrical energy and supply the constant DC power to run the appliances and electrical equipment. One of the existing US patents US8053929B2, entitled, “Solar power array with maximized panel power extraction”, discloses a system of solar panel arrays connected with a series of converter and other modules to provide a maximum power extraction. The problem with said system is the use of a large number of additional circuitries like buck boost converters which are inefficient and makes the circuit complex.
[0005] Another method of enhancements to traditional MPPT algorithms have been developed to deal with the impact of fluctuations in output power. The implementation simplicity of soft computing methods makes them very attractive to solve the MPPT problem of PV systems. Artificial Neural Networks, are one of soft computing methods that was used in MPPT techniques. However, expensive and time-consuming operations of complicated technology Artificial Neural Networks makes the unsuitable for PV systems. However, a metaheuristics techniques having a good convergence rate and fast convergence can be experimented for solving the MPPT problem.
[0006] Hence, there is a need for a system which employs less circuitry and is capable of handling the power stability problem using simple techniques.

OBJECTS OF THE PRESENT DISCLOSURE
[0007] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0008] It is an object of the present disclosure to provide a solar photovoltaic system with power stability management and method thereof.
[0009] It is another object of the present disclosure to provide a system and method which addresses the limitations of existing methods by enabling maximum stable power output from the solar PV system.
[0010] It is another object of the present disclosure to provide a system and method in which the solar panel's ability to generate electricity will not be significantly harmed in any manner by a change in an external condition like solar irradiance, weather, shadowing, temperature etc.
[0011] It is another object of the present disclosure to provide a system and method which is capable to resist the variation in output with variation in input parameters and external conditions.

SUMMARY
[0012] The present invention relates to the photovoltaic systems. In particular, it relates to a solar photovoltaic system with power stability management and method thereof.
[0013] An aspect of the present disclosure provides a solar photovoltaic system with power stability management, the system comprising: a plurality of solar panel arrays and is configured to convert solar energy into electrical energy to produce an output of analog pulse of voltage and current with a duty cycle; at least one Analog to Digital converter (ADC) coupled to the plurality of solar panel arrays and is configured to translate the output analog pulse of voltage and current into digital output form in response to change in at least one external condition; at least one Maximum Power Point Technology (MPPT) controller coupled to the at least one ADC with one or more optimization techniques, and the at least one MPPT controller is configured to maximize the amount of the digital output voltage of the plurality of solar panel arrays based on the one or more optimization techniques; and at least one SEPIC converter circuit coupled to the plurality of solar panel arrays and the at least one MPPT controller with the one or more optimization techniques, and the at least one SEPIC converter circuit is configured to enhance the power output based on the one or more optimization techniques at a time to a maximum stable power by performing one or more operations on the digital output voltage.
[0014] In an aspect, the system is configured to maintain a maximum stable power output irrespective of the changes in the at least one external condition.
[0015] In an aspect, the at least one external condition comprises at least one of a solar irradiance, a cloud passing, a shadowing, a weather condition, an ambient temperature and a solar cell temperature.
[0016] In an aspect, the SEPIC converter circuit comprises of at least one input terminal, at least one switching element, at least one diode, one or more variable inductor, one or more capacitors and one or more load coupled with one or more optimization techniques.
[0017] In an aspect, the one or more the one or more optimization techniques comprises at least one of a genetic algorithm, a hybrid sea winged hawk ardea optimization, and a hybrid Sea-winged hunt-based optimization. The hybrid sea-winged hunt-based optimization technique is configured to fine-tune the one or more hyperparameters of the SEPIC converter. The hybrid sea winged hawk ardea optimization technique is configured to improve MPPT efficiency and switching losse. The one or more hyperparameters of the SEPIC converter comprises at least one of a Total Harmonic Distortion (THD), a Total harmonic Efficiency (TE), a power consumption, and an operation delay.
[0018] In an aspect, the one or more operations on the digital output voltage comprises at least one of a capture output power, an eliminate harmonic distortion, an offer non-inverting output, and a regulate power losses
[0019] In an aspect, a method for power stability management in a solar photovoltaic system, the method comprising steps of irradiating, by the system, the plurality of solar panel arrays with sunlight to convert solar energy into electrical energy to produce an output of analog pulse of voltage and current with a duty cycle. Further, converting, by the system, the output analog pulse of voltage and current from the plurality of solar panel arrays into digital output form by the at least one ADC in response to a change in the at least one external condition. Further, controlling, by the system, the plurality of solar panel arrays by the MPPT controller to maintain a stable output irrespective of the change in the at least one external condition using one or more optimization techniques. Furthermore, initiating, by the system, the SEPIC converter circuit with one or more initial circuit parameter and adjusting the hyperparameters of the SEPIC converter circuit to enhance the power output based on the one or more optimization techniques at a time to a maximum stable power by performing one or more operations on the digital output voltage. Finally, providing, by the system, a maximum stable power output and power stability management.
[0020] 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 DRAWINGS
[0021] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in, and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure, and together with the description, serve to explain the principles of the present disclosure.
[0022] In the figures, similar components, and/or features may have the same reference label. Further, various components of the same type may be distinguished by following the reference label with a second label that distinguishes among the similar components. If only the first reference label is used in the specification, the description is applicable to any one of the similar components having the same first reference label irrespective of the second reference label.
[0023] FIG. 1 illustrates an exemplary circuit diagram of the solar photovoltaic system with power stability management (100), in accordance with an embodiment of the present disclosure.
[0024] FIG. 2 illustrates exemplary flow diagram (200) of optimization technique 1, in accordance with an embodiment of the present disclosure.
[0025] FIG. 3 illustrates exemplary flow diagram (300) of optimization technique 2, in accordance with an embodiment of the present disclosure.
[0026] FIG. 4 illustrates exemplary flow diagram (400) of the proposed method for the solar photovoltaic system with power stability management, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0027] 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. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure as defined by the appended claims.
[0028] In some embodiments, the numbers expressing quantities of
ingredients, properties such as concentration, and so forth, used to describe and
claim certain embodiments of the invention are to be understood as being
modified in some instances by the term “about.” Accordingly, in some
embodiments, the numerical parameters set forth in the written description are
approximations that can vary depending upon the desired properties sought to be
obtained by a particular embodiment. In some embodiments, the numerical
parameters should be construed in light of the number of reported significant
digits and by applying ordinary rounding techniques. Notwithstanding that the
numerical ranges and parameters setting forth the broad scope of some
30 embodiments of the invention are approximations, the numerical values set forthin the specific examples are reported as precisely as practicable.
[0029] The recitation of ranges of values herein is merely intended to serve as
a shorthand method of referring individually to each separate value falling within
the range. Unless otherwise indicated herein, each individual value is incorporated
into the specification as if it were individually recited herein.
[0030] Various aspects of the present disclosure are described with respect to FIG 1-4.
[0031] The present invention relates to the photovoltaic systems. In particular, it relates to a solar photovoltaic system with power stability management and method thereof.
[0032] An aspect of the present disclosure provides a solar photovoltaic system 100 with power stability management, the system 100 comprising: a plurality of solar panel arrays 102 and is configured to convert solar energy into electrical energy to produce an output of analog pulse of voltage and current with a duty cycle; at least one Analog to Digital converter (ADC) 104 coupled to the plurality of solar panel arrays 102 and is configured to translate the output analog pulse of voltage and current into digital output form in response to change in at least one external condition; at least one Maximum Power Point Technology (MPPT) controller 106 coupled to the at least one ADC 104 with one or more optimization techniques, and the at least one MPPT controller 106 is configured to maximize the amount of the digital output voltage of the plurality of solar panel arrays based on the one or more optimization techniques; and at least one SEPIC converter circuit 108 coupled to the plurality of solar panel arrays 102 and the at least one MPPT controller 106 with the one or more optimization techniques, and the at least one SEPIC converter circuit 108 is configured to enhance the power output based on the one or more optimization techniques at a time to a maximum stable power by performing one or more operations on the digital output voltage.
[0033] In an aspect, the system 100 is configured to maintain a maximum stable power output irrespective of the changes in the at least one external condition.
[0034] In an aspect, the at least one external condition comprises at least one of a solar irradiance, a cloud passing, a shadowing, a weather condition, an ambient temperature and a solar cell temperature.
[0035] In an aspect, the SEPIC converter circuit comprises of at least one input terminal, at least one switching element, at least one diode, one or more variable inductor, one or more capacitors and one or more load coupled with one or more optimization techniques.
[0036] In an aspect, the one or more the one or more optimization techniques comprises at least one of a genetic algorithm, a hybrid sea winged hawk ardea optimization, and a hybrid Sea-winged hunt-based optimization. The hybrid sea-winged hunt-based optimization technique is configured to fine-tune the one or more hyperparameters of the SEPIC converter. The hybrid sea winged hawk ardea optimization technique is configured to improve MPPT efficiency and switching losses. The one or more hyperparameters of the SEPIC converter comprises at least one of a Total Harmonic Distortion (THD), a Total harmonic Efficiency (TE), a power consumption, and an operation delay.
[0037] In an aspect, the one or more operations on the digital output voltage comprises at least one of a capture output power, an eliminate harmonic distortion, an offer non-inverting output, and a regulate power losses
[0038] In an aspect, a method 400 for power stability management in a solar photovoltaic system, the method 400 comprising steps of irradiating, by the system 100, the plurality of solar panel arrays 102 with sunlight to convert solar energy into electrical energy to produce an output of analog pulse of voltage and current with a duty cycle. Further, converting, by the system 100, the output analog pulse of voltage and current from the plurality of solar panel arrays into digital output form by the at least one ADC 104 in response to a change in the at least one external condition. Further, controlling, by the system 100, the plurality of solar panel arrays 102 by the MPPT controller 106 to maintain a stable output irrespective of the change in the at least one external condition using one or more optimization techniques. Furthermore, initiating, by the system 100, the SEPIC converter circuit 108 with one or more initial circuit parameter and adjusting the hyperparameters of the SEPIC converter circuit 108 to enhance the power output based on the one or more optimization techniques at a time to a maximum stable power by performing one or more operations on the digital output voltage. Finally, providing, by the system 100, a maximum stable power output and power stability management.
[0039] FIG. 1 illustrates an exemplary circuit diagram of the solar photovoltaic system with power stability management 100, in accordance with an embodiment of the present disclosure.
[0040] In an embodiment, referring to FIG. 1, the solar photovoltaic system 100 with power stability management, the system 100 comprising: a plurality of solar panel arrays 102 and is configured to convert solar energy into electrical energy to produce an output of analog pulse of voltage and current with a duty cycle; at least one Analog to Digital converter (ADC) 104 coupled to the plurality of solar panel arrays 102 and is configured to translate the output analog pulse of voltage and current into digital output form in response to change in at least one external condition; at least one Maximum Power Point Technology (MPPT) controller 106 coupled to the at least one ADC 104 with one or more optimization techniques, and the at least one MPPT controller 106 is configured to maximize the amount of the digital output voltage of the plurality of solar panel arrays based on the one or more optimization techniques; and at least one SEPIC converter circuit 108 coupled to the plurality of solar panel arrays 102 and the at least one MPPT controller 106 with the one or more optimization techniques, and the at least one SEPIC converter circuit 108 is configured to enhance the power output based on the one or more optimization techniques at a time to a maximum stable power by performing one or more operations on the digital output voltage.
[0041] In an embodiment, referring to FIG. 1, the solar photovoltaic system 100 with power stability management, the plurality of solar panel arrays contains a large number of layers that can be differentiated using small cells or modules called solar cells. Solar cells have the ability to produce their own power, which enables them to convert the photon energy that is contained within the cell into electrical energy. Further, the at least one ADC 102 is coupled with a pyranometer which is a sensor that converts the global solar radiation it receives into an electrical signal that can be measured. Further, the at least one Maximum Power Point Technology (MPPT) controller (MPPT) controller 106 uses a method that gradually provides the maximum amount of electrical power that can be generated.
[0042] In an embodiment, the at least one Single-Ended Primary-Inductor Converter (SEPIC) 108 is a type of DC-DC converter which allows a range of dc voltage to be adjusted to maintain a constant voltage output. The at least one SEPIC converter 108 can also include another form of the SEPIC converter known as a ZETA DC-DC converter. The Zeta converters are a type of DC-DC power converter that can convert voltage in both the step-up and step-down directions.
[0043] In an embodiment, referring to FIG. 1, the at least one Maximum Power Point Tracking (MPPT) controller is linked to the hybrid sea winged hawk ardea technique, which controls the PV system to maintain stable circumstances in order to achieve maximum power output. The at least one SEPIC converter 108 is linked to the hybrid sea-winged hunt-based optimization in order to fine-tune the hyperparameters of the at least one SEPIC converter. The hybrid sea-winged hunt-based optimization approach combines elements of Sea-winged and Ardea optimization to achieve optimal results.
[0044] FIG. 2 illustrates exemplary flow diagram (200) of optimization technique 1, in accordance with an embodiment of the present disclosure.
[0045] In an embodiment, referring to FIG. 2, the flow diagram 200 of the optimization technique 1, the hybrid bay winged hunt optimization. The one or more optimization techniques imitate natural phenomena through simulating animal and other environmental behaviours. The biological behaviour-based optimization techniques mimic organisms’ behaviour such as predation, pathfinding, growth, and aggregation in order to solve optimization problems. Further, the hybrid bay winged hunt optimization combines the elements of the bay-winged optimization or hawk optimization and the ardea optimization or egret optimization to achieve optimal results. The hawk optimization mimics the hunting behaviour of the Harris Hawks in nature, namely surprise pounce. The hawks can simulate different chasing styles based on different scenarios and escaping prey behaviours. Four chasing strategies in hawk optimization can include: but not limited to: soft besiege, hard besiege, soft besiege with progressive rapid dives, soft besiege with progressive rapid dives, and the likes. The egret optimization mimics the hunting behaviour of egrets which involves observing the behaviour of prey for a period of time and then anticipating its next move in order to hunt with the least energy expenditure.
[0046] In an embodiment, referring to FIG. 2, the flow diagram 200 of the hybrid bay (sea) winged hunt optimization. The process includes, at step 204 initializing, by the system (102), one or more parameters associated with one or more multi-objective functions to create one or more constraints on a solution’s primary population. At step 206, calculating the fitness function of the initialized parameters. The fitness function is used to evaluate how close a given solution is to the optimum solution of the desired problem and determines how fit is a solution. At step 208, the solution is updated based on the fitness function.
[0047] Further, at step 310, the process may find best parameters for the optimization using exploration and exploitation. The exploitation consists of taking the decision assumed to be optimal with respect to the data observed so far. At step 210, the exploitation stage uses the exploitation approach or safe approach which tries to avoid bad decisions as much as possible but also prevents from discovering potential better decisions. At step 212, the exploration stage uses the exploration approach or risky approach which consists of not taking the decision that seems to be optimal, betting on the fact that observed data are not sufficient to truly identify the best option. At step 214, finally stopping the optimization once the best optimization of the solution is found.
[0048] Ina an embodiment The at least one SEPIC converter 108 is linked to the hybrid sea-winged hunt-based optimization in order to fine-tune the hyperparameters of the at least one SEPIC converter and to optimize maximum output power from the solar panel arrays.
[0049] FIG. 3 illustrates exemplary flow diagram 300 of optimization technique 2, in accordance with an embodiment of the present disclosure.
[0050] In an embodiment, referring to FIG. 3, the hybrid sea-winged hawk's ardea optimization of 300, combines the egret optimization 302-1 and sea-winged hawk optimization 302-2. At step 304 and 306, selecting the objective functions for both of the optimization techniques. The objective function 1 is selected for the optimization technique 1, at step 304. Objective functions 2 and objective function 3 are selected for the optimization technique 2, at step 306. The objective function is the system objective presented as a function of decision variables. The fitness function1 of optimization technique 1 is estimated at step 308. The fitness function 2 for the optimization technique 2 is estimated at step 310.
[0051] Further, at step 312, estimates the initial energy value1 or first set of solutions to the optimization problem using the optimization technique 1. At step 314, estimates the initial energy value2 or first set of solutions to the optimization problem using the optimization technique 2. At step 316, the initial solutions of the optimization techniques 1 is updated to a new value, updated energy value 1 and at step 318, the initial solutions of the optimization techniques 2 is updated to a new value, updated energy value 2. After each technique has decided on its best solutions, the process may select the best optimal option and both the optimization techniques may take the action together at step 320. Finally, at step 322, the best optimization for the problem is provided.
[0052] In an embodiment, the at least one Maximum Power Point Tracking (MPPT) controller is linked to the hybrid sea winged hawk ardea technique, which controls the PV system to maintain stable circumstances in order to achieve maximum power output.
[0053] FIG. 4 illustrates exemplary flow diagram 400 of the proposed method for the solar photovoltaic system with power stability management, in accordance with an embodiment of the present disclosure.
[0054] In an embodiment, referring to FIG. 4, the method 400 for the solar photovoltaic system with power stability management. The method 400 includes step 402 of irradiating, by the system 100, the plurality of solar panel arrays 102 with sunlight to convert solar energy into electrical energy to produce an output of analog pulse of voltage and current with a duty cycle. Further, the method comprises step 404 of converting, by the system 100, the output analog pulse of voltage and current from the plurality of solar panel arrays into digital output form by the at least one ADC 104 in response to a change in the at least one external condition. Further, the method comprises step 406 of controlling, by the system 100, the plurality of solar panel arrays 102 by the MPPT controller 106 to maintain a stable output irrespective of the change in the at least one external condition using one or more optimization techniques. Furthermore, the method comprises step 408 of initiating, by the system 100, the SEPIC converter circuit 108 with one or more initial circuit parameter and adjusting the hyperparameters of the SEPIC converter circuit 108 to enhance the power output based on the one or more optimization techniques at a time to a maximum stable power by performing one or more operations on the digital output voltage. Finally, the method comprises step 410 of providing, by the system 100, a maximum stable power output and power stability management.
[0055] In an embodiment, the existence of several peaks in the output makes the operation of solar PV array more difficult. The fluctuated output voltage arises due to several external conditions including but not limited to: the fluctuation in air temperature in the surrounding area, a partial shadowing, sudden weather change, a clouding, and the likes. The problem of voltage fluctuations can be reduced and the out may be optimized using optimizations techniques discussed here. The MPPT converter is linked to the hybrid sea winged hawk ardea optimization technique, which controls the PV system to maintain stable circumstances in order to achieve maximum power output. The hybrid sea winged hawk ardea optimization contributes to the solution of the fluctuating output. The output of the solar PV array 102 is directly connected to the SEPIC converter 108, the amount of power that can be taken from a solar panel at one time can be boosted to its greatest potential. As soon as the situation is in a constant condition using first optimization technique, the SEPIC converter offers smoothness by reducing variations to a minimum in the output. To obtain a stable maximum output the hyperparameters of the SEPIC converter is fine tuned by a hybrid Sea-winged hunt-based optimization technique. The hybrid sea-winged hunt-based optimization combines elements of sea-winged and ardea optimization to achieve optimal results. Once the optimization process completes the solar photovoltaic system’s ability to generate electricity may not be significantly harmed in any manner by the multipoint power point tracker (MPPT) because it is robust enough to endure the effects of any external conditions including sudden variations in weather conditions. Thus, providing a stable maximum power output.
[0056] 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.
[0057] 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.
[0058] It is to be appreciated by a person skilled in the art that while various embodiments of the present disclosure have been elaborated for a solar photovoltaic system with power stability management and method thereof. However, the teachings of the present disclosure are also applicable for other types of applications as well, and all such embodiments are well within the scope of the present disclosure. However, the solar photovoltaic system with power stability management and method thereof is also equally implementable in other industries as well, and all such embodiments are well within the scope of the present disclosure without any limitation.
[0059] Accordingly, the present disclosure provides a solar photovoltaic system with power stability management and method thereof.
[0060] Moreover, in interpreting the specification, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms “comprises” and “comprising” should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refer to at least one of something selected from the group consisting of A, B, C….and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc.
[0061] While the foregoing describes various embodiments of the disclosure, other and further embodiments of the disclosure may be devised without departing from the basic scope thereof. The scope of the disclosure is determined by the claims that follow. The disclosure is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the disclosure when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0062] The present disclosure provides a solar photovoltaic system with power stability management and method thereof.
[0063] The present disclosure provides a system and method which addresses the limitations of existing methods by enabling maximum stable power output from the solar PV system.
[0064] The present disclosure provides a system and method in which the solar panel's ability to generate electricity will not be significantly harmed in any manner by a change in an external condition like solar irradiance, weather, shadowing, temperature etc.
[0065] The present disclosure provides a system and method which is capable to resist the variation in output with variation in input parameters and external conditions.
, Claims:1. A solar photovoltaic system (100) with power stability management, the system (100) comprising:
a plurality of solar panel arrays (102) and is configured to convert solar energy into electrical energy to produce an output of analog pulse of voltage and current with a duty cycle;
at least one Analog to Digital converter (ADC) (104) coupled to the plurality of solar panel arrays (102) and is configured to translate the output analog pulse of voltage and current into digital output form in response to change in at least one external condition;
at least one Maximum Power Point Technology (MPPT) controller (106) coupled to the at least one ADC (104) with one or more optimization techniques, and the at least one MPPT controller (106) is configured to maximize the amount of the digital output voltage of the plurality of solar panel arrays based on the one or more optimization techniques; and
at least one SEPIC converter circuit (108) coupled to the plurality of solar panel arrays (102) and the at least one MPPT controller (106) with the one or more optimization techniques, and the at least one SEPIC converter circuit (108) is configured to enhance the power output based on the one or more optimization techniques at a time to a maximum stable power by performing one or more operations on the digital output voltage.
2. The system (100) as claimed in claim 1, wherein the system (100) is configured to maintain a maximum stable power output irrespective of the changes in the at least one external condition.
3. The system (100) as claimed in claim 1, wherein the at least one external condition comprises at least one of a solar irradiance, a cloud passing, a shadowing, a weather condition, an ambient temperature and a solar cell temperature.
4. The system (100) as claimed in claim 1, wherein the SEPIC converter circuit comprises of at least one input terminal, at least one switching element, at least one diode, one or more variable inductor, one or more capacitors and one or more load coupled with one or more optimization techniques.
5. The system (100) as claimed in claim 1, wherein the one or more the one or more optimization techniques comprises at least one of a genetic algorithm, a hybrid sea winged hawk ardea optimization, and a hybrid Sea-winged hunt-based optimization,
wherein the hybrid sea-winged hunt-based optimization technique is configured to fine-tune the one or more hyperparameters of the SEPIC converter,
wherein the hybrid sea winged hawk ardea optimization technique is configured to improve MPPT efficiency and switching losses,
wherein the one or more hyperparameters of the SEPIC converter comprises at least one of a Total Harmonic Distortion (THD), a Total harmonic Efficiency (TE), a power consumption, and an operation delay.
6. The system (100) as claimed in claim 1, the one or more operations on the digital output voltage comprises at least one of a capture output power, an eliminate harmonic distortion, an offer non-inverting output, and a regulate power losses.
7. A method (400) for power stability management in a solar photovoltaic system, the method (400) comprising:
irradiating, by the system (100), the plurality of solar panel arrays (102) with sunlight to convert solar energy into electrical energy to produce an output of analog pulse of voltage and current with a duty cycle;
converting, by the system (100), the output analog pulse of voltage and current from the plurality of solar panel arrays into digital output form by the at least one ADC (104) in response to a change in the at least one external condition;
controlling, by the system (100), the plurality of solar panel arrays (102) by the MPPT controller (106) to maintain a stable output irrespective of the change in the at least one external condition using one or more optimization techniques;
initiating, by the system (100), the SEPIC converter circuit (108) with one or more initial circuit parameter and adjusting the hyperparameters of the SEPIC converter circuit (108) to enhance the power output based on the one or more optimization techniques at a time to a maximum stable power by performing one or more operations on the digital output voltage; and
providing, by the system (100), a maximum stable power output and power stability management.