Fully Distributed Risk-based Robust Reserve Scheduling for Bulk Hybrid AC-DC Systems  

作　　者：Zhe Chen Shufeng Dong Chuangxin Guo Yi Ding Hangyin Mao 

机构地区：[1]the college of Electrical Engineering in Zhejiang University,Hangzhou,Zhejiang 310027,China [2]Zhejiang Power Grid Co.,LTD.,Hangzhou,Zhejiang 310027,China

出　　处：《CSEE Journal of Power and Energy Systems》2023年第2期634-644,共11页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported by the National Key Research and Development Program of China (2016YFB0900100);the State Key Program of National Natural Science Foundation of China (51537010);the project of State Grid Corporation of China (52110418000T)。

摘　　要：To enhance the cost-effectiveness of bulk hybrid AC-DC power systems and promote wind consumption,this paper proposes a two-stage risk-based robust reserve scheduling(RRRS)model.Different from traditional robust optimization,the proposed model applies an adjustable uncertainty set rather than a fixed one.Thereby,the operational risk is optimized together with the dispatch schedules,with a reasonable admissible region of wind power obtained correspondingly.In addition,both the operational base point and adjustment capacity of tielines are optimized in the RRRS model,which enables reserve sharing among the connected areas to handle the significant wind uncertainties.Based on the alternating direction method of multipliers(ADMM),a fully distributed framework is presented to solve the RRRS model in a distributed way.A dynamic penalty factor adjustment strategy(DPA)is also developed and applied to enhance its convergence properties.Since only limited information needs to be exchanged during the solution process,the communication burden is reduced and regional information is protected.Case studies on the 2-area 12-bus system and 3-area 354-bus system illustrate the effectiveness of the proposed model and approach.

关 键 词：Dynamic penalty factor adjustment strategy fully distributed framework hybrid AC-DC systems reserve scheduling RISK robust optimization 

分 类 号：TM73[电气工程—电力系统及自动化]