采用改进BBO算法的并网型微电网电源优化配置

Optimal Allocation of Power Supply of Grid-connected Microgrid Using Improved Biogeography-based Optimization Algorithm

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-balancing level and redundancy level. The proposed model considers the minimization of annual comprehensive economic investment 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 performance in convergence rate and convergence precision.