用于电动汽车协调的新型混合集中式分散框架

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2023-12-04 DOI:10.1049/stg2.12144
Praveen Verma, Pallab Dasgupta, Chandan Chakraborty
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引用次数: 0

摘要

提出了混合动力集中式-分散式电动汽车(EV)在紧急充电场景下的协调策略。首先,考虑影响电动汽车协调的几个关键特征,提出了一个鲁棒的复杂优化问题。然后,将公式化问题分解为EV协调和简单优化问题,提出了求解策略。分散的基于规则的电动汽车协调策略基于直接负载平坦化的原则,并利用实际的电动汽车聚合器-客户交互、客户行为和电动汽车的时空转移来平坦充电站的负载持续时间曲线。然后,解决集中优化问题,最大限度地降低运行成本,减少电力损耗,减少电网拥塞。以IEEE 24总线系统为例进行了非协调充电与协调充电的对比研究,结果表明,该方法在高峰时段可使电动汽车平均负荷降低1283.26 kW/min,平均功率损耗降低2.465 kW/min,运行成本降低61.99美元/min。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A novel hybrid centralised decentralised framework for electric vehicles coordination

A novel hybrid centralised decentralised framework for electric vehicles coordination

Hybrid Centralised-Decentralised Electric Vehicle (EV) coordination policy in the urgent charging scenario is presented. First, a robust and complex optimisation problem considering several key features affecting EV coordination is formulated. Then, a solution strategy for the formulated problem is proposed by decomposing the formulated problem into an EV coordination and simple optimisation problem. The decentralised rule-based EV coordination strategy works on the principle of direct load flattening and utilises practical EV aggregator-customer interaction, customer behaviour, and temporospatial shifting of the EVs to flatten the load duration curve at the charging station. Then, the centralised optimisation problem is solved to minimise the operation cost, decrease the power loss, and decrease congestion in the grid. A comparison between uncoordinated and coordinated charging in the case study conducted on the IEEE 24 bus system shows that the proposed approach reduces the average EV load by 1283.26 kW/min, average power loss by 2.465 kW/min, and operation cost by 61.99 $/min during the peak hours.

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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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