采用改进BBO算法的并网型微电网电源优化配置

摘要

针对并网型微电网的分布式电源优化配置问题,以年综合经济投资最小为目标,计及设备年等值投资成本、运行维护成本、燃料成本、环境折算成本以及年购电成本和余电出售收益,考虑分布式电源出力约束、系统自平衡度和冗余度等约束,建立了并网型微电网优化配置模型;同时提出一种基于余弦迁移模型、变尺度分段Lo-gistic混沌和高斯变异策略改进的生物地理学优化(BBO)算法用于模型求解.仿真结果验证了所提模型的合理性,并表明改进的BBO算法具有良好的收敛速度和收敛精度.%For the problem about optimal allocation of distributed generations of gird-connected microgrid,this paper puts forward an optimal allocation model with constraints such as output power of distributed generations,self-balanc-ing level and redundancy level. The proposed model considers the minimization of annual comprehensive economic in-vestment as the objective function,including annual equivalent investment cost of equipment,operation cost,fuel cost,environment reduced cost,annual electricity purchasing cost,as well as income of selling surplus power. Mean-while ,an improved biogeography-based optimization(BBO)algorithm is proposed for solving the mentioned model based on cosine migration model,mutative-scale piecewise Logistic chaotic and Gaussian mutation strategy. The simula-tion results verify the rationality of the mentioned model,and show that the improved BBO algorithm has better perfor-mance in convergence rate and convergence precision.