【摘要】 针对电力系统有功优化调度,提出了一种改进的粒子群算法,该算法考虑了火电厂的煤耗量,污染物排放量,以及线路损耗等,从整体上降低电力系统的发电成本。该算法以标准粒子群算法为基础,对其参数进行了改进,并对其搜索速度加以限制。将其应用于电力系统的3机组模型,算例仿真结果表明该算法节省了收敛时间,具有收敛速度快,计算精度高的优点。更多还原

【Abstract】 Active for optimal scheduling of power system,this paper presents an improved particle swarm algorithm,which takes into account the volume of coal consumption of thermal power plants,pollutant emissions,as well as Lines loss,The cost of power generation is minimized on the whole. This algorithm is based on the standard particle swarm optimization,has improved its parameter and limited the speed of its search. Apply it to 3 unit models of the power system,simulation results show that the algorithm has saved the time of searching,has fast convergence and the advantages of high accuracy.更多还原