ANFIS-Based Control of Multi-objective Grid Connected Inverter and Energy Management
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 challeng...
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| Veröffentlicht in: | Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Electrical Engineering, Electronics and telecommunication engineering, Computer engineering, 2020-02, Vol.101 (1), p.1-14 |
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| container_title | Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering |
| container_volume | 101 |
| creator | Gupta, Shikha Garg, Rachana Singh, Alka |
| description | 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. |
| doi_str_mv | 10.1007/s40031-020-00425-0 |
| format | Article |
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| subjects | Adaptive systems Alternative energy sources Artificial neural networks Communications Engineering Energy management Energy resources Engineering Fuel cells Fuzzy control Fuzzy logic Fuzzy systems Hybrid systems Inverters Multiple objective analysis Networks Original Contribution Photovoltaic cells Power flow Power management Renewable energy sources |
| title | ANFIS-Based Control of Multi-objective Grid Connected Inverter and Energy Management |
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