Optimal Configuration of Battery Energy Storage System in Bus Charging Station Considering Load Uncertainty

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI:10.1109/ACPEE48638.2020.9136200

Jinkai Shi, Yan Bao, Chenwei Zhang

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Abstract

Fast charging station brings new challenges to the utility grid, due to its high peak power and high power fluctuations. The introduction of energy storage system in the electric vehicle charging station can alleviate negative impacts of station operation on the utility grid and reduce the distribution transformer capacity, which brings obvious economic benefit. However, due to the uncertain factors, such as the randomness of fluctuations, the capacity configuration of energy storage systems is necessary. To solve this problem, this paper proposes a capacity configuration optimization approach for the energy storage system in the charging station considering load uncertainty. Taking into account the investment and expanding capacity reconstruction cost and the annual electricity cost, the cost model of the energy storage system with the variable life of the battery is established and solved by robust optimization. Compared with the optimized configuration strategy based on the definite load curve, the proposed configuration strategy based on load uncertainty has shown satisfactory stability and robust performance.

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考虑负荷不确定性的客车充电站电池储能系统优化配置

快速充电站由于其峰值功率高、功率波动大，给电网带来了新的挑战。在电动汽车充电站中引入储能系统，可以缓解充电站运行对电网的负面影响，减少配电变压器容量，经济效益明显。然而，由于波动的随机性等不确定因素，储能系统的容量配置是必要的。针对这一问题，本文提出了一种考虑负荷不确定性的充电站储能系统容量配置优化方法。考虑投资和扩容改造成本以及年电力成本，建立了具有变电池寿命的储能系统成本模型，并采用鲁棒优化方法进行求解。与基于确定负荷曲线的优化配置策略相比，基于负荷不确定性的优化配置策略具有良好的稳定性和鲁棒性。

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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来源期刊

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE)

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