引用本文:王枭,何怡刚,马恒瑞,刘小燕,张慧,高文忠.考虑规模化储能的配电网电压分布式控制[J].电力自动化设备,2022,42(2):
WANG Xiao,HE Yigang,MA Hengrui,LIU Xiaoyan,ZHANG Hui,GAO Wenzhong.Distributed voltage control of distribution network considering large-scale energy storage[J].Electric Power Automation Equipment,2022,42(2):
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考虑规模化储能的配电网电压分布式控制
王枭1, 何怡刚1, 马恒瑞2, 刘小燕1, 张慧1, 高文忠3
1.武汉大学 电气与自动化学院,湖北 武汉 430072;2.青海大学 新能源光伏产业研究中心,青海 西宁 810016;3.丹佛大学 电气与计算机工程系,美国 丹佛 80208
摘要:
为了实现储能资源的规模化利用,构建了面向大规模储能设备的协同控制框架,提出了一种基于分布式优化方法的配电网电压控制方法。该方法利用改进型交替方向乘子算法,在优化模型的对偶问题中引入一致性人工约束,仅依靠相邻设备间的通信,即可实现完全分布式的储能设备充放电管理与配电网电压支撑。基于IEEE 33节点系统的仿真算例验证了所提方法的有效性,仿真结果表明利用分布式协同控制能够快速收敛到优化问题的最优解,有利于平抑可再生能源出力波动对电网的影响,确保了电网电压的安全稳定,体现出较好的扩展能力与应用水平。
关键词:  规模化储能  交替方向乘子法  配电网  电压控制  分布式控制
DOI:10.16081/j.epae.202111012
分类号:TM714.2
基金项目:国家重点研发计划项目(2020YFB0905905);武汉市科技计划项目(20201G01)
Distributed voltage control of distribution network considering large-scale energy storage
WANG Xiao1, HE Yigang1, MA Hengrui2, LIU Xiaoyan1, ZHANG Hui1, GAO Wenzhong3
1.School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China;2.New Energy(Photovoltaic) Industry Research Center, Qinghai University, Xining 810016, China;3.Department of Engineering and Computer Science, University of Denver, Denver 80208, USA
Abstract:
In order to achieve the large-scale utilization of energy storage resources, the cooperative control framework is constructed for large-scale energy storage devices, and the voltage control method of distribution network is proposed based on distributed optimization method. The proposed method uses the improved ADMM(Alternating Direction Method of Multipliers) to introduce the artificial consensus constraint in the dual problem of the optimization model, and only needs the neighboring communication to accomplish fully distributed charging and discharging of energy storage devices and the voltage support of distribution network. Simulation case based on IEEE 33-bus system verifies the effectiveness of the proposed method. Simulative results show that the distributed cooperative control can quickly converge to the optimal solution of the optimization problem, which benefits to suppress the impacts of the fluctuation of renewable energy sources on the power grid, and guarantees the security and stability of grid voltage with desired scalability and applicability.
Key words:  large-scale energy storage  ADMM  distribution network  voltage control  distributed control

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