...
首页> 外文期刊>International Journal of Electrical Power & Energy Systems >Determining an appropriate partitioning method to reduce the power system dimensions for real time voltage control
【24h】

Determining an appropriate partitioning method to reduce the power system dimensions for real time voltage control

机译:确定适当的划分方法以减小用于实时电压控制的电源系统尺寸

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

One of the ways to increase the speed of adaptive optimal coordinated voltage control (OCVC) is the reduction of the power system dimensions. To this end, after occurrence of a disturbance, the power system is initially partitioned into interior, boundary and exterior zones. Partitioning is based on the fact that voltage instability is a local phenomenon at the early moments after fault occurrence; therefore the variation of boundary and exterior variables is small. Then, the equations of boundary and exterior zones are linearized, and the variables and equations of exterior zone-except for control variables-are removed. This will lead to a considerable decrease in the number of power system equations. Three partitioning based on admittance matrix system, active and reactive power flow in transmission lines are taken into consideration and the appropriate method resulting in the minimal linearization error is selected. This paper also uses the multi-objective evolutionary algorithm based on decomposition (MOEA/D) to increase the problem solving speed in adaptive optimal coordinated voltage control. The simulation results on the New England 39-bus and IEEE 118-bus systems demonstrate that calculations speed have been remarkably improved while retaining the required precision.
机译:提高自适应最优协调电压控制(OCVC)速度的方法之一是减小电力系统尺寸。为此,在发生干扰之后,电力系统首先被划分为内部,边界和外部区域。划分基于以下事实:故障发生后的早期,电压不稳定性是局部现象;因此边界和外部变量的变化很小。然后,边界和外部区域的方程被线性化,并且除控制变量之外的外部区域的变量和方程被去除。这将导致电力系统方程的数量大大减少。考虑了基于导纳矩阵系统的三部分分配,传输线上的有功和无功功率流,并选择了导致线性化误差最小的适当方法。本文还使用基于分解的多目标进化算法(MOEA / D)来提高自适应最优协调电压控制中的问题解决速度。在新英格兰39总线和IEEE 118总线系统上的仿真结果表明,在保持所需精度的同时,计算速度得到了显着提高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号