摘要
设计了无功优化控制系统的软件体系结构,建立了动态无功优化数学模型。提出的高压配电网无功优化控制基于现有地调自动化系统,在母线负荷预测的基础上,利用遗传算法求解整个电网的无功优化问题,得到的优化结果为各个变电站VQC的合理限值。该方法将全局优化与VQC分散控制的优点结合起来,克服了各变电站无功、电压就地最优控制的弊端,节电效益显著。在某地区电网的应用中验证了该系统和方法的有效性,经过优化计算,在满足电压约束和控制设备动作次数限制的条件下,降低了电能损耗,有功损耗比优化前下降约3%。
The software structure of the reactive power control system is designed and dynamic reactive power optimization model is established. This control system utilizes local power dispatching centre. Genetic algorithm has been used to complete the reactive power optimization based on bus load forecasting, The optimization results are optimal VQ limits for every substation. The method takes advantage of global optimization and decentralized control of VQC. The benefits of power save are significant. The reactive power optimization system and its methods have been validated in a district power system. Meeting restricts of voltage and action times of control device, the power loss decreased by 3% after optimization in the district power system.
出处
《沈阳农业大学学报》
CAS
CSCD
北大核心
2005年第6期695-698,共4页
Journal of Shenyang Agricultural University
关键词
电力系统
无功优化
遗传算法
VQC限值
power system
reactive power optimization
genetic algorithm
VQC limits
