引用本文:刘岩,张亚超,朱蜀,谢仕炜.计及EV负荷-风电异质场景集的交直流混合配电网多目标分布式协同优化[J].电力自动化设备,2022,42(10):
LIU Yan,ZHANG Yachao,ZHU Shu,XIE Shiwei.Multi-objective distributed cooperative optimization of hybrid AC/DC distribution network considering EV load-wind power heterogeneous scenario sets[J].Electric Power Automation Equipment,2022,42(10):
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计及EV负荷-风电异质场景集的交直流混合配电网多目标分布式协同优化
刘岩1, 张亚超1, 朱蜀2, 谢仕炜1
1.福州大学 电气工程与自动化学院,福建 福州 350108;2.国网湖南省电力有限公司调度控制中心,湖南 长沙 410004
摘要:
电动汽车以及分布式能源的规模化接入对配电网的安全经济运行提出了巨大的挑战。考虑到交直流混合配电网(HADDN)具有灵活可控性高、分区特性显著的特点,提出了一种计及源-荷侧双重不确定性的HADDN有功功率和无功功率的分布式协同优化方法。首先,提出了综合考虑交通拓扑结构、居民出行行为以及风电预测误差区间差异性的电动汽车充电负荷-风电场景生成方法,采用基于Wasserstein距离的最优场景缩减算法生成典型概率场景;其次,建立了以网络损耗和节点电压偏差最小为目标的HADDN随机优化模型;然后,对所提多目标优化模型进行目标分解以及区域解耦,采用一种基于目标值交换原理的交替方向乘子法对其进行分布式求解;最后,通过算例仿真验证了所提方法的有效性。
关键词:  交直流混合配电网  电动汽车  风电  分布式协同优化  交替方向乘子法  随机优化
DOI:10.16081/j.epae.202208028
分类号:TM73;TM614;U469.72
基金项目:国家自然科学基金资助项目(61903088)
Multi-objective distributed cooperative optimization of hybrid AC/DC distribution network considering EV load-wind power heterogeneous scenario sets
LIU Yan1, ZHANG Yachao1, ZHU Shu2, XIE Shiwei1
1.School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;2.Dispatching and Control Center of State Grid Hunan Electric Power Co.,Ltd.,Changsha 410004, China
Abstract:
The large-scale access of EVs(Electric Vehicles) and distributed energy has posed great challenges to the safe and economic operation of distribution networks. Considering that HADDN(Hybrid AC/DC Distribution Network) has the characteristics of high flexibility and controllability and significant partitioning features, a distributed cooperative optimization method of HADDN active and reactive power considering the dual uncertainties of source side and load side is proposed. Firstly, the EV charging load-wind power scenario generation method is proposed, which comprehensively considers the traffic topology structure, the residents’ travel behavior and the interval difference of wind power prediction error. The optimal scenario reduction algorithm based on Wasserstein distance is used to generate typical probability scenarios. Secondly, the stochastic optimization model of HADDN is established to minimize the network loss and node voltage deviation. Then, the objective decomposition and region decoupling of the proposed multi-objective optimization model are performed, and the alternating direction method of multipliers based on the objective value exchange principle is used to solve the above model. Finally, the effectiveness of the proposed method is verified by a numerical example.
Key words:  hybrid AC/DC distribution network  electric vehicles  wind power  distributed cooperative optimization  alternating direction method of multipliers  stochastic optimization

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