Optimal PI-Controller-Based Hybrid Energy Storage System in DC Microgrid
Power availability from renewable energy sources (RES) is unpredictable, and must be managed effectively for better utilization. The role that a hybrid energy storage system (HESS) plays is vital in this context. Renewable energy sources along with hybrid energy storage systems can provide better po...
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| Veröffentlicht in: | Sustainability 2022-11, Vol.14 (22), p.14666 |
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| creator | Vijayan, Maya Udumula, Ramanjaneya Reddy Mahto, Tarkeshwar Lokeshgupta, Bhamidi Goud, B Srikanth Kalyan, Ch Naga Sai Balachandran, Praveen Kumar C, Dhanamjayulu Padmanaban, Sanjeevikumar Twala, Bhekisipho |
| description | Power availability from renewable energy sources (RES) is unpredictable, and must be managed effectively for better utilization. The role that a hybrid energy storage system (HESS) plays is vital in this context. Renewable energy sources along with hybrid energy storage systems can provide better power management in a DC microgrid environment. In this paper, the optimal PI-controller-based hybrid energy storage system for a DC microgrid is proposed for the effective utilization of renewable power. In this model, the proposed optimal PI controller is developed using the particle swarm optimization (PSO) approach. A 72 W DC microgrid system is considered in order to validate the effectiveness of the proposed optimal PI controller. The proposed model is implemented using the MATLAB/SIMULINK platform. To show the effectiveness of the proposed model, the results are validated with a conventional PI-controller-based hybrid energy storage system. |
| doi_str_mv | 10.3390/su142214666 |
| format | Article |
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The role that a hybrid energy storage system (HESS) plays is vital in this context. Renewable energy sources along with hybrid energy storage systems can provide better power management in a DC microgrid environment. In this paper, the optimal PI-controller-based hybrid energy storage system for a DC microgrid is proposed for the effective utilization of renewable power. In this model, the proposed optimal PI controller is developed using the particle swarm optimization (PSO) approach. A 72 W DC microgrid system is considered in order to validate the effectiveness of the proposed optimal PI controller. The proposed model is implemented using the MATLAB/SIMULINK platform. To show the effectiveness of the proposed model, the results are validated with a conventional PI-controller-based hybrid energy storage system.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su142214666</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Alternative energy ; Control algorithms ; Controllers ; Design and construction ; Distributed generation ; Electric controllers ; Energy sources ; Energy storage ; Fuel cells ; Mathematical models ; Methods ; Optimization ; Power management ; Renewable energy sources ; Storage systems ; Sustainability ; Swarm intelligence ; Testing</subject><ispartof>Sustainability, 2022-11, Vol.14 (22), p.14666</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. 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| subjects | Alternative energy Control algorithms Controllers Design and construction Distributed generation Electric controllers Energy sources Energy storage Fuel cells Mathematical models Methods Optimization Power management Renewable energy sources Storage systems Sustainability Swarm intelligence Testing |
| title | Optimal PI-Controller-Based Hybrid Energy Storage System in DC Microgrid |
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