Optimal Economic Analysis of Battery Energy Storage System Integrated with Electric Vehicles for Voltage Regulation in Photovoltaics Connected Distribution System
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- Wu, Fuzhang & Yang, Jun & Li, Bin & Crisostomi, Emanuele & Rafiq, Hogir & Rashed, Ghamgeen Izat, 2024. "Uncertain scheduling potential of charging stations under multi-attribute uncertain charging decisions of electric vehicles," Applied Energy, Elsevier, vol. 374(C).
- Seshu Kumar, R. & Phani Raghav, L. & Koteswara Raju, D. & Singh, Arvind R., 2021. "Impact of multiple demand side management programs on the optimal operation of grid-connected microgrids," Applied Energy, Elsevier, vol. 301(C).
- Zhang, Jing & Yan, Jie & Liu, Yongqian & Zhang, Haoran & Lv, Guoliang, 2020. "Daily electric vehicle charging load profiles considering demographics of vehicle users," Applied Energy, Elsevier, vol. 274(C).
- Wang, Bangyan & Wang, Xiuli & Zhu, Zongyao & Wu, Xiong, 2023. "Siting and sizing of energy storage for renewable generation utilization with multi-stage dispatch under uncertainty: A tri-level model and decomposition approach," Applied Energy, Elsevier, vol. 344(C).
- Ebrie, Awol Seid & Kim, Young Jin, 2024. "Reinforcement learning-based optimization for power scheduling in a renewable energy connected grid," Renewable Energy, Elsevier, vol. 230(C).
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Keywords
economic power dispatching; user and distribution system sides; battery energy storage system; electric vehicle; photovoltaic;All these keywords.
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