电气传动2026，Vol.56Issue(8)：39-48,10.DOI:10.19457/j.1001-2095.dqcd26523
基于DDPG的新型配电网调频功率分配仿真与控制研究
Research on Simulation and Control of Frequency Regulation Power Distribution in New Distribution Network Based on DDPG
摘要
Abstract
In the new power system,the generation method and operating characteristics of new energy are significantly different from traditional synchronous machines,and the safe and stable operation of frequency faces new challenges and opportunities.When there is a large frequency fluctuation caused by high-power disturbances in the power grid,in order to adjust the system frequency,it is necessary to manually adjust the output of the units in a timely manner.The rationality of power allocation of frequency modulation units is of great significance to energy utilization efficiency and power grid stability.Based on the deep deterministic policy gradient(DDPG)algorithm in deep reinforcement learning,a reward function was designed based on the frequency deviation and regional control error of the regional system.Multiple scenarios were set to train the intelligent agent,and scene weights were assigned according to the disturbance size.The weighted power allocation factor of the general policy set was output,ultimately achieving a reasonable allocation of unit frequency modulation power.A joint simulation platform was established based on Python calling PSS/E,and the 44 node IEEE standard power system model in the Nordic region was used as a simulation example to verify the feasibility of using the joint simulation platform to generate optimization strategy results.关键词
新型电力系统/频率稳定/调频功率分配/深度确定性策略梯度算法Key words
new power system/frequency stabilization/frequency modulation power distribution/depth deterministic policy gradient(DDPG)algorithm分类
信息技术与安全科学引用本文复制引用
李明,魏承志,郭小易,赵瑞峰,卢建刚,陈益哲,高宜凡,甘锴..基于DDPG的新型配电网调频功率分配仿真与控制研究[J].电气传动,2026,56(8):39-48,10.基金项目
国家自然科学基金(U22A20221) （U22A20221）
南方电网重点科技项目031200KK52222027(GDKJXM20222224) （GDKJXM20222224）
