基于合作博弈的分布式能源优化运行策略研究

Design of Distributed Energy Optimization Operation Strategy Based on Cooperative Game

为了解决计及环境因素的分布式发电经济调度问题,对分布式发电系统的技术经济特性进行了分析,提出了一类基于博弈论的分布式能源优化运行模型。以各分布式发电机为博弈参与者,通过加权系数法建立了计及环境经济因素的参与者收益函数,分别选取环境调度权重系数与经济调度权重系数为博弈调整系数,作为参与者的博弈策略;采用智能优化算法,各博弈参与者依次进行独立优化决策,实现博弈方各自收益的最大化;求得该合作博弈方式下的均衡策略,即分布式电力系统的出力优化调度方式,从而解决了分布式电源环境经济调度最优化问题。不同合作博弈联盟模式的调度仿真研究结果证明了环境经济调度策略的可行性和经济性。

To solve the distributed power generation economic scheduling problem which takes into account environmental factors,the technical and economic characteristics of distributed generators were analyzed,and a distributed energy optimization operational model based on game theory was proposed.Each distributed generator acts as a participant in the game.The weighted coefficient method is used to establish the participant’s revenue function,where the environmental and economic factors are taken into account.The weight coefficients of environmental and economic dispatch were selected as the game’s adjustment coefficient.With the intelligent optimization algorithm,each game player makes independent optimization decisions to realize the maximization of the respective gains of the game players.The equilibrium strategy under the cooperative game mode is obtained,namely the distributed power system’s output optimization scheduling method.The research results of the scheduling simulation of different cooperative game alliance models prove the feasibility and economy of the environmental economic dispatching strategy.