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Dai, Q.; Liu, J.; Wei, Q. Optimal Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Station Design Based on Multi-Agent Particle Swarm Optimization Algorithm. Sustainability 2019, 11, 1973. https://doi /10.3390/su11071973
Dai Q, Liu J, Wei Q. Optimal Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Station Design Based on Multi-Agent Particle Swarm Optimization Algorithm. Sustainability. 2019; 11(7):1973. https://doi /10.3390/su11071973
Dai, Qiongjie, Jicheng Liu, and Qiushuang Wei. 2019. "Optimal Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Station Design Based on Multi-Agent Particle Swarm Optimization Algorithm" Sustainability 11, no. 7: 1973. https://doi /10.3390/su11071973
Dai, Q., Liu, J., & Wei, Q. (2019). Optimal Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Station Design Based on Multi-Agent Particle Swarm Optimization Algorithm. Sustainability, 11(7), 1973. https://doi /10.3390/su11071973
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To address this challenge, this paper proposes a novel control strategy that integrates a HESS comprising batteries, supercapacitors, and PV panels with machine learning algorithms. By leveraging ML''s ability to learn and adapt to complex and changing systems, the proposed control strategy aims to optimize power flow in real-time, ensuring optimal performance and efficiency.
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