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含电动汽车的主动配电网多目标分层优化调度

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  • 国家科技期刊平台
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为了协调电动汽车车主和主动配电网2个不同主体之间的利益关系,针对电动汽车接入后主动配电网的优化调度问题,文中提出一种考虑电动汽车充电综合满意度和主动配电网运行效益的多目标分层优化方法.上层模型注重最大化电动汽车车主的充电利益,采用归一化法向约束法求解电动汽车的最优充放电计划,并将其输入下层优化模型.下层模型旨在最大化主动配电网的运行效益,根据电动汽车的充放电计划调整可控分布式电源的输出功率,采用二阶锥松弛转换法和带权极小模理想点法求解该非线性多目标问题.仿真结果表明,所提含电动汽车的主动配电网多目标分层优化方法能够在促使电动汽车充电综合满意度超过0.9的同时,减少有功网损约94.12％、运行成本约30.90％,实现电动汽车车主和主动配电网的双赢.
Multi-objective hierarchical optimization dispatch of active distribution network with electric vehicles
In order to coordinate the interests between electric vehicle owners and the active distribution network,a multi-objective hierarchical optimization method for the optimal scheduling of the active distribution network with electric vehicles is proposed.This method takes into account both the comprehensive satisfaction of electric vehicle charging and the operational benefits of the active distribution network.The upper layer model focuses on maximizing the charging benefits of electric vehicle owners,and the normalized normal constraint method is used to solve the optimal charging and discharging plan of electric vehicle,which is input to the lower layer optimization model.The lower layer model aims to maximize the operational efficiency of the active distribution network by adjusting the output power of the controllable distributed generation according to the charging and discharging plan of electric vehicle.The second-order cone program and weighted minimal modular ideal point method are used to solve the nonlinear multi-objective problem.Simulation results show that the proposed multi-objective hierarchical optimization method can promote the comprehensive satisfaction of electric vehicle charging exceeding 0.9 while reducing active power loss by 94.12％and operating costs by 30.90％,which achieves a win-win situation for both electric vehicle owners and the active distribution network.

electric vehicleactive distribution networkhierarchical optimizationmulti-objective optimizationnormalized nor-mal constraint methodweighted minimal modular ideal point methodsecond-order cone program

杨晓辉、王晓鹏、邓叶恒

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南昌大学信息工程学院,江西南昌 330031

电动汽车 主动配电网 分层优化 多目标优化 归一化法向约束法 带权极小模理想点法 二阶锥松弛转化法

国家自然科学基金资助项目

61963026

2024

10.12158/j.2096-3203.2024.04.016

电力工程技术
江苏省电力公司 江苏省电机工程学会

电力工程技术

CSTPCD北大核心
影响因子：0.969
ISSN：2096-3203
年,卷(期)：2024.43(4)
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