李谅,孙禹会,盛青,刘子涵,肖天宇,李振坤
LI Liang,SUN Yuhui,SHENG Qing,LIU Zihan,XIAO Tianyu,LI Zhenkun

• 1:上海电力实业有限公司
• 2:上海电力大学电气工程学院

摘要(Abstract)：

为应对分布式电源和电动汽车广泛接入给配电网安全稳定运行带来的挑战，提出了考虑分布式电源及电动汽车支撑能力的配电网优化运行策略。首先，构建了基于多代理系统的多层级控制架构，实现了各代理间的信息交互与协同优化。其次，考虑用户出行需求，建立了充放电站可信容量量化模型，以评估其主动支撑能力。进而，构建了以最小化运营成本、电压偏差和线路最大负载率为目标的多目标优化运行模型，并采用遗传算法与改进粒子群优化算法相结合的混合算法进行求解。最后，对包含新能源场站和多类型电动汽车充放电站的配电系统进行了运行仿真，结果表明，所提方法可有效降低线路负载率，改善配电网电压水平，提高配电网的运行安全性与经济性。
To address the challenges posed by the widespread integration of distributed generation(DG) and electric vehicles(EVs) to the safe and stable operation of distribution networks, this paper proposes an optimal operation strategy for distribution networks that considers the support capability of DG and EVs. First, a multi-level control architecture based on a multi-agent system(MAS) is developed to enable information interaction and collaborative optimization among various agents. Second, by incorporating users' travel demands, a credible capacity quantification model for charging and discharging stations is developed to assess their active support capability. Subsequently, a multi-objective optimal operation model is formulated, aiming to minimize operational cost, voltage deviation, and maximum line loading. This model is solved using a hybrid algorithm combining a genetic algorithm(GA) and an improved particle swarm optimization(IPSO). Finally, operation simulations are conducted on a distribution system including renewable energy stations and various EV charging/discharging stations. The results indicate that the proposed method effectively reduces line loading, improves voltage profiles, and enhances the operational safety and economic performance of the distribution network.

关键词(KeyWords)： 电动汽车;充放电站;多代理机制;配电网优化运行;混合优化算法
EV;charging/discharging station;multi-agent mechanism;optimal distribution network operation;hybrid optimization algorithm

Abstract:

Keywords:

基金项目(Foundation): 国家电网有限公司科技项目（JNGS202400333YY054JS）

作者(Author): 李谅,孙禹会,盛青,刘子涵,肖天宇,李振坤
LI Liang,SUN Yuhui,SHENG Qing,LIU Zihan,XIAO Tianyu,LI Zhenkun

DOI: 10.19585/j.zjdl.202606009

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