Coordinated Dispatch Based on Distributed Robust Optimization for Interconnected Urban Integrated Energy and Transmission Systems  

作　　者：Wei Xu Yufeng Guo Tianhui Meng Yingwei Wang Jilai Yu 

机构地区：[1]the School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China

出　　处：《Journal of Modern Power Systems and Clean Energy》2024年第3期840-851,共12页现代电力系统与清洁能源学报（英文）

基　　金：supported by the Science and Technology Project of State Grid Corporation of China(No.5108-202299259A-1-0-ZB)。

摘　　要：To improve the economic efficiency of urban integrated energy systems(UIESs)and mitigate day-ahead dispatch uncertainty,this paper presents an interconnected UIES and transmission system(TS)model based on distributed robust optimization.First,interconnections are established between a TS and multiple UIESs,as well as among different UIESs,each incorporating multiple energy forms.The Bregman alternating direction method with multipliers(BADMM)is then applied to multi-block problems,ensuring the privacy of each energy system operator(ESO).Second,robust optimization based on wind probability distribution information is implemented for each ESO to address dispatch uncertainty.The column and constraint generation(C&CG)algorithm is then employed to solve the robust model.Third,to tackle the convergence and practicability issues overlooked in the existing studies,an external C&CG with an internal BADMM and corresponding acceleration strategy is devised.Finally,numerical results demonstrate that the adoption of the proposed model and method for absorbing wind power and managing its uncertainty results in economic benefits.

关 键 词：Distributed robust optimization distributionally robust dispatch urban integrated energy system transmission system external column and constraint generation(C&CG) internal Bregman alternating direction method with multipliers(BADMM) 

分 类 号：TM73[电气工程—电力系统及自动化]