基于粒子群算法的微电网动态经济调度

微电网的动态经济调度不仅要考虑一个调度周期内经济费用最低,还需考虑多时段设备运行之间的协调配合,使其更加符合系统的实际运行要求.建立了含有风力发电机、光伏阵列、柴油机及燃料电池等多种分布式电源且能够实现热电联产的微电网系统,研究了当微电网系统处于并网运行状态时,以微电网的运行费用和污染物处理费用的综合效益最大(总费用最低)作为目标函数,并计及可再生能源波动、负荷预测误差以及机组故障停运等不确定性因素影响的动态经济调度模型,模型采用改进的粒子群算法进行求解.通过算例讨论了微电网并网运行情况下不同的控制策略、优化目标及可靠性指标对动态经济调度的影响,为结合可再生能源的微电网动态经济调度以及提升微电网并网运行的可靠性研究提供了一种参考.

Dynamic Economic Dispatch of Micro-grid Based on Particle Swarm Optimization

The dynamic economic dispatch of micro-gird meets the requirements of the system in its actual operation because it not only considers the lowest cost in a dispatching cycle but also takes account of the coordination between different equipment operations in multi-period .In this paper ,we establish a combined heat and power(CHP) micro-grid system which includes wind turbines(WT) ,photovoltaic arrays(PV) ,die-sel engines(DE) ,and fuel cell(FC) .The paper studies the situation when the micro-grid system is in grid-connected operation by taking the maximum comprehensive benefits of the operation cost and the pollutant treatment cost of the micro-grid system as the objective function for dynamic economic dispatch .At the same time ,the paper studies the dynamic economic dispatch model influenced by uncertainty factors such as the fluctuation of renewable energy ,load fluctuation error and fault shutdown of unit .The improved parti-cle swarm optimization (PSO ) algorithm is used to solve the objective function .Finally ,the influence of dif-ferent scheduling strategies ,optimization goals and reliability indexes on dynamic economic dispatch is dis-cussed .The research can provide some reference for dynamic economic dispatch of micro-grid in terms of making full use of renewable energy and improving the micro-grid system reliability .