| Autor: |
Hamza Bouzeria, Mohamed Adjabi, Issam Abadlia |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Springer Proceedings in Energy ISBN: 9789811565946 |
| DOI: |
10.1007/978-981-15-6595-3_12 |
| Popis: |
Variability and intermittency are some of the features renewable energies (REs). Due to their intermittent nature, it is very difficult to predict energy production, which requires either additional supply plants or new storage and control technologies. This work presents the sustainable development of a RE production chain. Reinforcement and optimization of the chain are also considered. At the same time, an energy management strategy (EMS) for a standalone photovoltaic (PV) and wind system integrated with fuel cell is presented. The EMS is aimed to coordinate the power flow of the system components while satisfying load demand and other constraints. System optimization and EMS are combined such that it is unusual to discuss them individually from a system-level design perspective. Therefore, optimization by a Chaotic Bacterial Foraging Optimization (CBFO) algorithm based on multi-cross learning (M-CL) mechanism is proposed to ensure an EMS of the system. The performance of the proposed system is validated by simulation and obtained results prove the efficacy and the feasibility of the proposed approach. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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