基于自然优化算法的电动汽车充电站布局

2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI:10.1109/PIECON56912.2023.10085885

Furkan Ahmad, Luluwah Al-Fagih, S. A. Qadir, M. Khalid

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引用次数: 1

摘要

电动汽车充电站(EVCS)基础设施规划涉及在配电网络(DN)和运输网络(TN)中制定和实施战略、政策和基础设施，包括最佳布局、规模、潮流等，以支持电动汽车的广泛采用。各种受自然启发的算法(NIOs)为优化电动汽车充电基础设施规划提供了自适应平台。本文全面回顾了不同NIOs算法在最佳EVCS放置中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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EV Charging Station Placement using Nature-Inspired Optimisation Algorithms

Electric Vehicle charging station (EVCS) infrastructure planning involves developing and implementing strategies, policies, and infrastructure in terms of optimal placement, sizing, power flow, etc., in the electric distribution network (DN) and transportation network (TN) to support the widespread adoption of EVs. Various Nature-inspired algorithms (NIOs) have offered an adaptive platform for optimal electric vehicle charging infrastructure planning. This manuscript comprehensively reviews the application of different NIOs algorithms in optimal EVCS placement.

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2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)

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