Bi-objective Optimization of Real-time AGC Dispatch in Performance-based Frequency Regulation Market  

作　　者：Xiaoshun Zhang Tian Tan Tao Yu Bo Yang Xiaoming Huang 

机构地区：[1]Foshan Graduate School of Innovation,Northeastern University,Foshan 528311,China [2]Meizhou Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Meizhou 514000,China [3]College of Electric Power,South China University of Technology,Guangzhou 510640,China [4]Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650500,China [5]Southern Power Grid Digital Enterprise Technology(Guangdong)Co.,Ltd.,Guangzhou 510000,China

出　　处：《CSEE Journal of Power and Energy Systems》2024年第6期2360-2370,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 National Natural Science Foundation of China(51907112,61963020);Natural Science Foundation of Guangdong Province of China(2019A1515011671).

摘　　要：This paper illustrates a new bi-objective optimization model of real-time automatic generation control dispatch in a performance-based frequency regulation market.It attempts to simultaneously minimize the total power deviation and the regulation mileage payment via optimally distributing the realtime total generation command to different regulation units.To handle this problem,an efficient non-dominated sorting genetic algorithm II is adopted to rapidly obtain a high-quality Pareto front for real-time AGC dispatch.A dynamic ideal point based decision making technique is designed to select the best compromise solution from the obtained Pareto front according to the minimization of the total regulation variation,which can effectively avoid an excessive regulation variation for each unit.Finally,two testing systems are used to verify the performance of the proposed technique.

关 键 词：AGC dispatch bi-objective optimization dynamic ideal point based decision making performance-based frequency regulation regulation mileage 

分 类 号：TM73[电气工程—电力系统及自动化]