电力系统自动化2019，Vol.43Issue(1)：40-48,9.DOI:10.7500/AEPS20180627008
基于多主体博弈与强化学习的并网型综合能源微网协调调度
Coordinated Scheduling of Grid-connected Integrated Energy Microgrid Based on Multi-agent Game and Reinforcement Learning
摘要
Abstract
Considering that the traditional centralized optimized scheduling methods cannot comprehensively reflect the interests of different agents in the integrated energy microgrid and the application of artificial intelligence techniques in integrated energy scheduling is deepened, the coordinated scheduling model and method for grid-connected integrated energy microgrid based on multi-agent game and reinforcement learning are proposed in this paper.Firstly, the multiple investment and operation agents are divided from the perspectives of electrical/heating/cooling subsystems and source/grid/load/storage links, respectively.Secondly, the decision-making models for renewable energy provider, microgrid energy provider and electric vehicle owner are constructed, and the joint game based decision-making model is established with the objective of balancing the multi-agent interests.Thirdly, the artificial intelligence techniques are introduced to solve the highly-dimensional multi-agent game decision-making problem, and the coordinated scheduling method for integrated energy microgrid based on Nash game and Q learning algorithm is proposed.Finally, the effectiveness and applicability of the model and method proposed are verified by case study.关键词
综合能源微网/协调调度/多智能体/博弈理论/Q学习Key words
integrated energy microgrid/coordinated scheduling/multi-agent/game theory/Q learning引用本文复制引用
刘洪,李吉峰,葛少云,张鹏,陈星屹..基于多主体博弈与强化学习的并网型综合能源微网协调调度[J].电力系统自动化,2019,43(1):40-48,9.基金项目
国家重点研发计划资助项目(2017YFB0903400,2017YFB0903401) （2017YFB0903400,2017YFB0903401）
国家自然科学基金资助项目(51777133) This work is supported by National Key R&D Program of China (No. 2017YFB0903400 , No. 2017YFB903401) and National Natural Science Foundation of China (No. 51777133). （51777133）
