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2025, 09, v.37 24-33
考虑网络约束可行集合表征的虚拟电厂调度指令分解
基金项目(Foundation):
邮箱(Email): liuhong@tju.edu.cn;
DOI: 10.19635/j.cnki.csu-epsa.001661
摘要:

针对现有虚拟电厂资源调度指令分解在网络信息受限环境下难以兼顾网络安全与多主体利益均衡的问题,提出一种考虑网络约束可行集合表征的虚拟电厂调度指令分解方法。首先,构建“虚拟电厂-产消者-配电网运营商”两阶段指令分解框架;其次,提出基于可行域顶点投影的网络约束可行解集表征方法,以在有限信息下描述所有满足网络约束的产消者调度方案;在此基础上,构建基于Wasserstein距离的分布鲁棒机会约束的虚拟电厂-产消者主从博弈模型,并运用对偶理论及KKT条件将其转化为可求解的单层数学规划问题。实验结果表明:考虑网络安全约束后虚拟电厂调度成本增加15.8%,但所有节点电压和线路功率均维持在安全限值内;所提方法在保证网络安全的同时,有效提升了虚拟电厂调度指令分解的经济性和可行性。

Abstract:

Aimed at the problem that the existing resource dispatching instruction decomposition of virtual power plants(VPPs)is difficult to strike a balance between network security and the interests of multiple agents in an environment of limited network information,a VPP dispatching instruction decomposition method considering the representation of feasible sets of network constraints is proposed. First,a two-stage instruction decomposition framework of“VPP-prosumer-distribution network operator”is constructed. Second,a representation method for the feasible solution set of network constraints based on the vertex projection of the feasible domain is put forward,so as to describe all the prosumer dispatching schemes that satisfy the network constraints under limited information. On this basis,a VPP-prosumer masterslave game model based on Wasserstein distance-based distributionally robust chance constraints is built,which is further transformed into a solvable single-layer mathematical programming problem by applying the duality theory and the KKT condition. Experimental results show that with the consideration of network security constraints,the dispatching cost of the VPP increases by 15.8%,but the voltage at all nodes and the line power remain within the security limits.The proposed method can effectively improve the economy and feasibility of the decomposition of VPP dispatching instructions while ensuring the network security.

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基本信息:

DOI:10.19635/j.cnki.csu-epsa.001661

中图分类号:TM73

引用信息:

[1]葛少云,程汉桐,刘洪.考虑网络约束可行集合表征的虚拟电厂调度指令分解[J].电力系统及其自动化学报,2025,37(09):24-33.DOI:10.19635/j.cnki.csu-epsa.001661.

基金信息:

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