电力系统自动化2025，Vol.49Issue(10)：185-197,13.DOI:10.7500/AEPS20240709007
计及最优㶲流的综合能源系统多故障恢复策略
Multi-fault Recovery Strategy for Integrated Energy System Considering Optimal Exergy Flow
摘要
Abstract
Exergy is the portion of energy that can be converted into other forms under certain environmental conditions,reflecting the quality of energy.To reduce the exergy loss generated during the fault recovery process of the integrated energy system(IES)and the economic losses caused by the lack of exergy supply,this paper proposes a multi-fault recovery strategy for IES considering optimal exergy flow.Firstly,the multi-state fault recovery model of IES components and the calculation method of the lower threshold of load exergy supply are introduced.Secondly,aiming to minimize system exergy loss and economic losses,a fault recovery strategy for IES is proposed based on multi-agent deep reinforcement learning,which takes into account optimal exergy flow,thermal load temperature variation delay characteristics,and natural gas pipeline delay characteristics.Thirdly,the impact of the energy supply recovery strategy on the energy supply capability of the IES is evaluated by using the user energy satisfaction index.Finally,the effectiveness of the proposed fault recovery strategy is verified by using an improved IEEE 33-bus distribution network,a Belgian 20-node gas network,and a 20-node thermal network system model.关键词
综合能源系统/故障恢复/㶲/智能体/深度强化学习Key words
integrated energy system/fault recovery/exergy/agent/deep reinforcement learning引用本文复制引用
李宏仲,罗龙宵,吴泽平,米阳..计及最优㶲流的综合能源系统多故障恢复策略[J].电力系统自动化,2025,49(10):185-197,13.基金项目
国家自然科学基金资助项目(52477107). This work is supported by National Natural Science Foundation of China(No.52477107). （52477107）
