工程科学与技术2024，Vol.56Issue(2)：45-54,10.DOI:10.15961/j.jsuese.202201343
面向多主体隐私保护的源网荷储分布式协同优化调度
Privacy-Preserving Multi-agent Coordinated Economic Dispatch with Generation-Grid-Load-Storage Interaction
摘要
Abstract
Under the prerequisite that the privacy protection requirements of each involved agent are satisfied,ensuring a dependable power sup-ply and flexible power allocation stands as the cornerstone for the privacy-preserving operation of a power system,taking into account the interac-tion of multiple agents.In this paper,we present a distributed economic dispatch scheme utilizing the modified consensus alternating direction method of multipliers(C-ADMM).Global optima are attained by solely exchanging coupling line information among interconnected areas,thereby achieving simultaneous privacy protection and dispatch goals.Firstly,based on the privacy requirements of agents participating in the day-ahead dispatch,we construct a multi-agent collaborative scheduling model.Each adjacent subject achieves decoupling by solely sharing the boundary coupling branch impedance information.The optimal scheduling problem of each subject is independently solved in each area,and the coupled multipliers are continuously updated in the iterative process to achieve global optimization.Considering the impact of distributed ad-justable loads on the convergence of C-ADMM,we employ the cutting-plane method to relax and approximate the integer variables.This facilit-ates the transformation of the problem by removing integer restrictions and introducing new constraints,thereby obtaining the optimal coordin-ated dispatch results for discrete adjustable loads and other resources.Finally,we conduct simulation calculations using the IEEE 30-bus system.Specifically,we partition the IEEE 30-bus system into different subjects and perform case tests to validate the effectiveness of the proposed dis-tributed collaborative optimization scheduling strategy.The results indicate that,under different division methods,the improved C-ADMM al-gorithm can yield relatively stable convergent solutions compared to the centralized method.Under different calculation parameters,the proposed and centralized methods,considering various parameters,are approximately the same,with a maximal error of 0.42%.Additionally,the conver-gence criterion is reduced to one hundredth compared to the conventional C-ADMM.关键词
离散型可调负荷/源网荷储协同调度/隐私安全/分布式优化Key words
discrete adjustable loads/source-storage-load coordinated scheduling/privacy and security/distributed optimization分类
信息技术与安全科学引用本文复制引用
陈春宇,涂歌,臧天磊,任必兴,戴雪梅..面向多主体隐私保护的源网荷储分布式协同优化调度[J].工程科学与技术,2024,56(2):45-54,10.基金项目
国家自然科学基金项目(52207142 （）
52377115) （）
江苏省自然科学基金项目(BK20210512) （BK20210512）
国家重点研发计划项目(2021YFB4000500) （2021YFB4000500）
