基于改进交替方向乘子法的输配电网分散协调鲁棒优化调度模型  

Decentralized Coordination Robust Optimal Scheduling Model for Transmission and Distribution Networks Based on Improved Alternating Direction Method of Multipliers

作　　者：赵冬梅 王浩翔 陶然 ZHAO Dongmei;WANG Haoxiang;TAO Ran(State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University),Changping District,Beijing 102206,China)

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),北京市昌平区102206

出　　处：《电网技术》2023年第3期1138-1150,共13页Power System Technology

基　　金：国家重点研发计划项目(2017YFB0902600);国家电网公司科技项目(SGJS0000DKJS1700840)。

摘　　要：随着分布式可再生能源大量接入主动配电网,输配电网间的耦合日益密切,由此面临的可再生能源出力不确定性和集中式调度带来的海量通讯等问题,使得输配电网的协调调度迎来巨大挑战。在考虑电力低碳化发展要求的基础上,计及碳捕集电厂低碳与调峰特性,提出基于改进交替方向乘子法的输配电网分散协调两阶段鲁棒优化调度模型。首先,采用凸多面体不确定集合描述风电出力的不确定性,构造含碳捕集电厂的输配协同两阶段鲁棒优化调度模型。进而,通过基于交替方向乘子法,并嵌套列和约束生成算法的循环迭代方法,对输配电网进行解耦和迭代求解。最后,在2个规模不同的算例系统上进行仿真分析。结果表明,所提方法在降低计算规模的同时提高了求解效率,实现了输配电网的完全分散自治,有效缓解了可再生能源并网带来的调峰压力。With numerous distributed renewable energy resources connected to the active distribution network, there exist more and more couplings between the transmission and distribution(T-D) networks. Therefore, the uncertainty of renewable energy outputs and the mass communications caused by the centralized dispatching has brought about great challenges to the coordinated dispatching of(T-D) networks.Based on the requirements of low-carbon power development and the characteristics of low-carbon and peak load regulation in the carbon capture power plants, a decentralized coordination two-stage robust optimal scheduling model for(T-D) networks based on the improved alternating direction method of multipliers(ADMM) is proposed. Firstly, a convex polyhedron uncertainty set is used to describe the uncertainty of wind power output, and a two-stage robust optimal scheduling model of the(T-D) coordination with the carbon capture is constructed. Furthermore, the(T-D) networks are decoupled and iteratively solved by an iterative loop method(ILM-ADMM) and the column and constraint generation algorithm(C&CG). Finally, simulation analysis is carried out on two examples with different scales. The results show that the proposed method reduces the calculation scale and improves the solving efficiency. It realizes the complete decentralized autonomy of(T-D) networks, and effectively alleviates the peak load regulation pressure caused by the renewable energy.

关 键 词：输配电网 可再生能源 交替方向乘子法 分布式 不确定性 

分 类 号：TM721[电气工程—电力系统及自动化]