摘要
从静态的角度出发,提出了电力系统发电机励磁系统中负荷补偿系数的优化模型和优化方法。建立了以系统有功网损为最小的目标函数、电网潮流方程为约束条件和发电机升压变压器阻抗为控制变量的负荷补偿系数的优化模型,采用粒子群智能优化算法(PSO)进行搜索,在此基础上对云南省电网不同的运行状态进行计算。对云南电网的稳定性仿真结果表明：文中所提出的发电机励磁系统中负荷补偿系数的优化方法可以有效地降低网损,同时将优化后的负荷补偿值参与发电机励磁控制调节；该方法可有效地改善系统的动态性能,为如何确定大电网中发电机励磁系统中的负荷补偿系数提供了整定方法。
This paper presents a method based on considering system static state to design load compensation coefficient in excitation control. The optimization model is first developed in which the objective is system loss, the constraints are power-flow equations and the control variables are the reactances of the step-up transformers. And then the PSO algorithm is used in searching the solution. The calculation results of Yunnan province system show that the method cuts down the transmission loss evidently. This set of coefficients is then used into excitation control and the simulation shows its strong positive impact on system dynamic performance. The method proposed in this paper gives an approach to design the coefficient of load compensation in large-scale system.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2006年第23期20-24,共5页
Proceedings of the CSEE
关键词
负荷补偿
高压侧电压控制
系统网损
粒子群优化算法
系统稳定性
电压稳定性
大系统
load compensation
high side voltage control
system loss
particle swarm optimization
system stability
voltage stability
large-scale system
