基于多智能体的微电网中分布式发电的市场博弈竞标发电  

Multi-Agent-System-Based Market Bidding Strategy for Distributed Generation in Microgrid

作　　者：窦春霞[1] 贾星蓓[1] 李恒[1] 

机构地区：[1]燕山大学电气工程学院,河北省秦皇岛市066004

出　　处：《电网技术》2016年第2期579-586,共8页Power System Technology

基　　金：国家自然科学基金项目(51177142;61573300)~~

摘　　要：为了解决微电网中分布式发电经济调度问题,在电力市场交易环境下研究基于分层多智能体系统的微电网市场竞标调度策略,进而实现利益分配最大化。针对电力交易特性,构建两层优化模型,并将其转化为平衡问题平衡约束模型,然后基于博弈论,以最大市场统一出清价原则构建辅助目标函数,并通过纳什均衡来求取唯一纳什均衡解,即为电力市场交易策略,从而解决了分布式电源经济调度最优化问题。两种博弈模式的经济调度仿真研究结果证明了微电网市场竞标调度策略的可行性和经济性。Market bidding strategy based on hierarchical multi-agent system（MAS） is proposed for economic dispatch and profit allocation maximization of distributed generation in autonomous microgrid. Market transaction process is formulated as a bi-level optimization model. It is then translated to an equilibrium problem with equilibrium constraint（EPEC） model for solving optimization bidding problem. Based on game theory, bidding decision-making algorithm is proposed to find Nash equilibrium solution with series of iterative process. That is market bidding strategy. Market dispatch and profit allocation in both cases of non-cooperative and cooperative bidding games are illustrated with simulation study.

关 键 词：微电网市场 多智能体系统 市场交易策略 经济调度 博弈论 

分 类 号：TM73[电气工程—电力系统及自动化]