DOI:10.35833/MPCE.2020.000109 |
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Multi-objective Optimal Operation of Centralized Battery Swap Charging System with Photovoltaic |
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Page view: 187
Net amount: 535 |
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Author:
Yuanzheng Li1,Yihan Cai1,Tianyang Zhao2,Yun Liu3,Jian Wang1,Lei Wu4,Yong Zhao1
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Author Affiliation:
1.School of Artificial Intelligence and Automation, Ministry of Education Key Laboratory of Image Processing and Intelligence Control, Huazhong University of Science and Technology, Wuhan, China;2.School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore;3.College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China;4.Department of Electrical & Computer Engineering, Stevens Institute of Technology, Hoboken, USA
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Foundation: |
This work was supported by the Key Scientific and Technological Research Project of State Grid Corporation of China (No. 5400-202022113A-0-0-00). |
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Abstract: |
Electric vehicles (EVs) are widely deployed throughout the world, and photovoltaic (PV) charging stations have emerged for satisfying the charging demands of EV users. This paper proposes a multi-objective optimal operation method for the centralized battery swap charging system (CBSCS), in order to enhance the economic efficiency while reducing its adverse effects on power grid. The proposed method involves a multi-objective optimization scheduling model, which minimizes the total operation cost and smoothes load fluctuations, simultaneously. Afterwards, we modify a recently proposed multi-objective optimization algorithm of non-sorting genetic algorithm III (NSGA-III) for solving this scheduling problem. Finally, simulation studies verify the effectiveness of the proposed multi-objective operation method. |
Keywords: |
Multi-objective optimization ; electric vehicle ; battery swap charging system ; scheduling ; photovoltaic |
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Received:February 26, 2020
Online Time:2022/01/28 |
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