电力系统及其自动化学报2023，Vol.35Issue(12)：59-70,12.DOI:10.19635/j.cnki.csu-epsa.001315
深度强化学习驱动的双馈抽蓄抽水工况下调频控制
Frequency Regulation of Doubly-fed Induction Machine Pumped Storage Hydro in Pumping Mode Driven by Deep Reinforcement Learning
摘要
Abstract
To improve the frequency characteristics of novel power systems,a system frequency control method based on the multi-agent deep deterministic policy gradient(MADDPG)algorithm is proposed by utilizing the characteristics of a doubly-fed induction machine pumped storage hydro(DFIM-PSH)unit,whose power can be adjusted in pumping mode.First,based on the frequency control strategy for DFIM-PSH in pumping mode,a frequency control model of the hybrid energy system is constructed.Second,to improve the control performance standard indicators of each region,the improved MADDPG algorithm is used to optimize the AGC control instructions of each unit.The case studies show that the participation of DFIM-PSH in frequency regulation in pumping mode can significantly improve the system's frequen-cy characteristics,and the proposed frequency control method is better than traditional control methods in terms of ro-bustness and reliability.关键词
调频/双馈抽水蓄能机组/多智能体深度确定性策略梯度算法/多能互补系统/控制性能标准Key words
frequency regulation/doubly-fed induction machine pumped storage hydro(DFIM-PSH)unit/multi-agent deep deterministic policy gradient(MADDPG)algorithm/hybrid energy system/control performance standard分类
信息技术与安全科学引用本文复制引用
劳文洁,史林军,李杨,吴峰,林克曼..深度强化学习驱动的双馈抽蓄抽水工况下调频控制[J].电力系统及其自动化学报,2023,35(12):59-70,12.基金项目
国家自然科学基金中英合作资助项目(52061635102) （52061635102）
