基于自适应粒子群算法的增量配电网电源博弈规划

Incremental distribution network power game planning based on adaptive particle swarm algorithm

针对增量配电业务开放环境下多主体独立规划带来的资源浪费,以及传统粒子群算法在寻优时出现由于局部最优而无法找到整体最优解的问题,提出了一种基于自适应粒子群算法的增量配电网电源侧博弈规划方法。分析分布式电源投资运营商和储能运营商之间的利益关系,以各自收益最大为目标建立各决策主体的收益模型;从博弈参与者、策略集合及收益函数出发,构建非合作博弈规划模型;引入自适应权重系数对传统粒子群算法进行改进,利用改进的自适应粒子群算法对上述模型进行求解。通过对非博弈、传统粒子群博弈及自适应粒子群博弈3种不同场景的仿真分析,进一步验证所提出的博弈规划方法能平衡各主体收益,使整体经济利益最优。

Aiming at the resources waste caused by the multi-agent independent planning in the open environment of incremental power distribution business,and the problem that the traditional particle swarm optimization algorithm cannot find the overall optimal solution due to the local optimization in the optimization process,an incremental distribution network power-side game planning method based on adaptive particle swarm algorithm is proposed.This paper analyzes the interests relationship between distributed power investment operators and energy storage operators,and establishes the profit model of each decision-making body with the goal of maximizing their respective returns.Starting from the game participants,strategy set and profit function,this paper constructs non-cooperative game planning model.The traditional particle swarm algorithm is improved by introducing adaptive weight coefficients,and the above model is solved by the improved adaptive particle swarm algorithm.Through the simulation analysis of three different scenarios of non-game,traditional particle swarm game and adaptive particle swarm game,it is further verified that the proposed game planning method can balance the benefits of each subject and optimize the overall economic benefits.