摘要
针对导线和变压器的选择配置,利用经济电流密度和负载率分析其技术经济运行区域。在给出了支路共轭电流对线路参数灵敏度的基础上,推导出网损对网络参数的灵敏度,可根据其大小确定网络参数对网损的影响程度,为估算改变参数后的网络损失提供了一种简便方法。以损耗和投资的综合费用最小为目标函数,采用粒子群优化算法对网络参数进行优化,根据线路和变压器的经济运行区间选择优化的区间,建立了粒子位置库,对粒子的位置进行了二次更新。仿真结果表明了算法的简便性、可行性和实用性。
In order to select wires and transformers, their technical and economical operation range are analyzed using the economical current density and load rate. Based on the definition of the conjugate slip current sensitivity to the line parameters, the sensitivity of network loss on line parameters is derived. According to the size of the network loss sensitivity, the degree of influence of network parameter on power loss can be determined, which provides an easy way of estimating the network loss after the parameters are changed. With minimum comprehensive cost of the investment and power loss as the objective function, a method is presented to optimize the network parameters with the particle swarm algorithm. According to the economical operation range of lines and transformers, the optimization interval is selected. A particle location library is established and the location of particle is secondarily updated. Simulation results show the simplicity, feasibility and practicality of the proposed algorithm.
出处
《电力系统自动化》
EI
CSCD
北大核心
2010年第17期27-31,共5页
Automation of Electric Power Systems
关键词
灵敏度
网损
电流密度
经济运行区域
粒子群
综合费用
sensitivity
network loss
current density
economical operation range
particle swarm
comprehensive cost