micro-grid based on CSO

  本文分析微网中微电源包括光伏发电、风力发电、微燃机、柴油发电机和燃料电池的电气特性，构建微电网优化运行的模型，以微网的经济成本和环境成本最小为目标函数，充分考虑了电压越限、功率平衡、微电源出力限制等约束条件，应用鸡群算法进行求解。 解决了粒子群算法易早熟、易陷入局部最优解的问题。并通过典型的微网系统进行仿真分析，仿真结果验证了该算法的有效性。(In this paper, the electrical characteristics of micro-power sources in micro-grid, including photovoltaic power generation, wind power generation, micro-gas engine, diesel generator and fuel cell, are analyzed. The optimal operation model of micro-grid is constructed. The objective function is to minimize the economic cost and environmental cost of micro-grid. The constraints of voltage overshoot, power balance and output limitation of micro-power are fully considered. The chicken swarm algorithm is applied to solve the problem. Particle swarm optimization (PSO) is easy to premature and fall into local optimal solution. The simulation results of a typical microgrid system show the effectiveness of the proposed algorithm.)

基于鸡群算法的微网经济运行优化_胡汉梅.pdf, 440277 , 2019-01-19