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ANFIS-Based Control of Multi-objective Grid Connected Inverter and Energy Management
https://orcid.org/http://orcid.org/0000-0003-2253-6191
As a consequence of fast socio-economic progress, the requirement of auxiliary energy sources is creating new opportunities in the field of renewable energy sources (RES). This paper presents a hybrid photovoltaic (PV)–fuel cell (FC) energy structure for grid-connected applications. The key challenges associated with the integration of RES are managing harmonic distortions, voltage fluctuations and power sharing. To mitigate these problems and to enhance the overall performance of the system, multi-objective inverter based on hybrid intelligent controller, adaptive neuro-fuzzy inference system has been designed. In the proposed system, PV acts as a primary energy source, while FC serves as a secondary energy source. An overall power management strategy has been designed to manage power flows among the RES, load and grid. The effectiveness of the proposed multi-objective inverter control and energy management of the system is validated under MATLAB/Simulink platform.
ANFIS-Based Control of Multi-objective Grid Connected Inverter and Energy Management
https://orcid.org/http://orcid.org/0000-0003-2253-6191
As a consequence of fast socio-economic progress, the requirement of auxiliary energy sources is creating new opportunities in the field of renewable energy sources (RES). This paper presents a hybrid photovoltaic (PV)–fuel cell (FC) energy structure for grid-connected applications. The key challenges associated with the integration of RES are managing harmonic distortions, voltage fluctuations and power sharing. To mitigate these problems and to enhance the overall performance of the system, multi-objective inverter based on hybrid intelligent controller, adaptive neuro-fuzzy inference system has been designed. In the proposed system, PV acts as a primary energy source, while FC serves as a secondary energy source. An overall power management strategy has been designed to manage power flows among the RES, load and grid. The effectiveness of the proposed multi-objective inverter control and energy management of the system is validated under MATLAB/Simulink platform.
ANFIS-Based Control of Multi-objective Grid Connected Inverter and Energy Management
https://orcid.org/http://orcid.org/0000-0003-2253-6191
As a consequence of fast socio-economic progress, the requirement of auxiliary energy sources is creating new opportunities in the field of renewable energy sources (RES). This paper presents a hybrid photovoltaic (PV)–fuel cell (FC) energy structure for grid-connected applications. The key challenges associated with the integration of RES are managing harmonic distortions, voltage fluctuations and power sharing. To mitigate these problems and to enhance the overall performance of the system, multi-objective inverter based on hybrid intelligent controller, adaptive neuro-fuzzy inference system has been designed. In the proposed system, PV acts as a primary energy source, while FC serves as a secondary energy source. An overall power management strategy has been designed to manage power flows among the RES, load and grid. The effectiveness of the proposed multi-objective inverter control and energy management of the system is validated under MATLAB/Simulink platform.
ANFIS-Based Control of Multi-objective Grid Connected Inverter and Energy Management
J. Inst. Eng. India Ser. B
Gupta, Shikha (author) / Garg, Rachana (author) / Singh, Alka (author)
2020-02-01
14 pages
Article (Journal)
Electronic Resource
English
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