Abstract
Energy storage system is an important element of standalone microgrids with renewable energy sources. Electrical storages like lead-acid, lithium-ion batteries are used to reduce curtailments of renewable energy as well as increasing their utilization by storing excess energy. In order to meet the balance between generation and demand for a stable system, battery charges or discharges continuously. Therefore, battery performance degrades over years and its capacity decreases. This degradation of the battery affects the performance of the standalone microgrid. In the majority of research, battery energy storage was used to optimize microgrids for economic, environmental and technical objectives but battery degradation was hardly considered in the optimization model. In the presented optimization model, the objective function is taken as minimization of the operating cost for standalone microgrid including battery degradation cost. The weighted Sum approach is used to combine these two costs and solved in the GAMS environment. Case studies are performed on Dongfushan Island in China under different scenarios of renewable power generation. To prove the efficacy of the presented model, results are compared without considering battery degradation.
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Swami, R., Gupta, S.K. (2022). Optimization of Standalone Microgrid’s Operation Considering Battery Degradation Cost. In: Bansal, R.C., Zemmari, A., Sharma, K.G., Gajrani, J. (eds) Proceedings of International Conference on Computational Intelligence and Emerging Power System. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-4103-9_23
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