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

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外文摘要：This paper illustrates a new bi-objective optimiza-tion 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 real-time 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.

外文关键词：

AGC dispatchbi-objective optimizationdynamic ideal point based decision makingperformance-based frequency regulationregulation mileage

作者：

Xiaoshun Zhang、Tian Tan、Tao Yu、Bo Yang、Xiaoming Huang

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作者单位：

Foshan Graduate School of Innovation,Northeastern University,Foshan 528311,China

Meizhou Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Meizhou 514000,China

College of Electric Power,South China University of Technology,Guangzhou 510640,China

Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650500,China

Southern Power Grid Digital Enterprise Technol-ogy(Guangdong)Co.,Ltd.,Guangzhou 510000,China

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出版年：

2024

DOI：

10.17775/CSEEJPES.2020.01860

中国电机工程学会电力与能源系统学报(英文版)

中国电机工程学会

中国电机工程学会电力与能源系统学报(英文版)

CSTPCDEI

ISSN：2096-0042

年,卷(期)：2024.10(6)