高压电器2025，Vol.61Issue(5)：80-92,13.DOI:10.13296/j.1001-1609.hva.2025.05.009
面向高比例新能源并网的多智能体协同自动发电控制算法
Multi-agent-cooperative Automatic Power Generation Control Algorithm for High Proportion of New Energy Grid Connection
摘要
Abstract
The large-scale access of new energy with strong randomness to the power grid brings more and more weak control performance to the power grid.The reinforcement learning with the characteristics of Markov stochastic pro-cess has advantages in solving random problems.However,when facing the large-scale access of new energy,it still faces the problem of failing to obtain the optimal solution and the control performance is not ideal.Therefore,a kind of soft actor-critic multi-agent cooperative deep reinforcement learning algorithm with value estimation correction is proposed to obtain the multi-region cooperative optimal solution.The problem of value overestimation is alleviated by the state-action distributed value function,thus the global optimal solution is obtained.The improved IEEE standard two-region model and southwest three-region power grid model are simulated to verify the effectiveness of the pro-posed algorithm,and it has better control and frequency stability than many other control methods.关键词
自动发电控制/价值估计/软演员—评论家/分布值函数Key words
automatic power generation control/value estimation/soft actor-critic/distributed value function引用本文复制引用
苏寅生,刘蔚,张野,赵利刚,马骞,任建宇..面向高比例新能源并网的多智能体协同自动发电控制算法[J].高压电器,2025,61(5):80-92,13.基金项目
国家自然科学基金资助项目(52277108) （52277108）
中国南方电网有限责任公司科技项目(ZDKJXM20222004).Project Supported by National Natural Science Foundation of China(52277108),China Southern Power Grid Limited Liability Company Technology Project(ZDKJXM20222004). （ZDKJXM20222004）
