基于启发式能量函数的电力系统无功规划优化

Reactive Power Planning Optimization for Power system Based on Heuristic Energy Function

将基于启发式能量函数观点的无功裕度运用到电力系统无功规划优化中,根据系统中各节点的无功裕度排列顺序确定无功补偿节点,并运用改进的自适应遗传算法对电力系统无功进行规划优化。在所建立的无功优化数学模型中,综合考虑了通过安装无功补偿装置所降低的有功损耗和安装无功补偿装置投资两者的综合费用最小。通过IEEE 30节点算例表明,该方法使系统中的无功电源得到合理地配置,有效的降低了系统的有功损耗,提高了电力系统的电压稳定性。

Reactive power margin based on heuristic energy function is applied in the reactive power planning of power system. The reactive power compensation nodes are determined based on the order of reactive power margin of each node in the system. Then the improved adaptive genetic algorithm is used for power system reactive power planning optimization. Reactive power optimization mathematical model is built with the comprehensive consideration of the minimal investment cost in installing reactive power compensation device to reduce the energy loss and in installing reactive power compensation device. The IEEE30 node calculation result shows that this method can effectively allocate reactive power in the system to reduce the active loss and improve the vohage stability of power system.