中国电机工程学报2025，Vol.45Issue(3)：858-869,中插5,13.DOI:10.13334/j.0258-8013.pcsee.231282
基于改进双智能体D3QN的电网N-1新增风险防控策略
N-1 New Risk Prevention and Control Strategy for Power Grid Based on Improved Double Agent D3QN Algorithm
摘要
Abstract
After the occurrence of N-1 faults in urban power grids,there is a high possibility of new operational risks,leading to large-scale power outages during N-1-1.To control the operational risks of urban power grids after N-1,the paper proposes an N-1 new risk control transfer strategy based on improved Dueling Double Deep Q Network(D3QN)method with double agent for urban power grids.Based on the principle of risk management and control,an N-1 scenario indicator that considers the risk of single supply substations is proposed,as well as single supply load buses and backup automatic switching device.And a three-stage solution model for load transfer that takes into account the sequence of actions and the relationship between indicators is established.The article proposes a D3QN method with double agent and pre-action changing ε selection strategy,which divides the load transfer into multiple sub transfer stages for learning,clarifies the transfer idea,reduces the dimensionality of the action space,improves the training optimization effect,and obtains a load transfer strategy that controls N-1 risks.The effectiveness of the model and method proposed in this paper has been verified through the analysis of multiple scenarios in urban power grids.关键词
城市电网/负荷转供/深度强化学习/N-1新增风险/双智能体Key words
urban power grid/load transfer/deep reinforcement learning/new risk of N-1/double agent分类
信息技术与安全科学引用本文复制引用
安军,黎梓聪,周毅博,石岩,毕建航..基于改进双智能体D3QN的电网N-1新增风险防控策略[J].中国电机工程学报,2025,45(3):858-869,中插5,13.基金项目
吉林省科技发展计划项目(20220508150RC). Science and Technology Development Plan Program of Jilin Province((20220508150RC). （20220508150RC）
