Title :
Network Reconfiguration of Distribution Systems Using Improved Mixed-Integer Hybrid Differential Evolution
Author :
Su, C. T. ; Lee, Chun Sung
Author_Institution :
National Chung Cheng University
Abstract :
This study proposes an effective method of network reconfiguration to reduce power loss and enhance the voltage profile by the improved mixed-integer hybrid differential evolution (MIHDE) method for distribution systems. This research aims to recognize beneficial load transfers so that the objective function composed of power losses is minimized and the prescribed voltage limits are satisfied. The proposed method determines the proper system topology that reduces the power loss according to a load pattem. Mathematically, the problem of this research is a mixed-integer combinatorial optimization problem well suited to the application of MIHDE.
Keywords :
Artificial neural networks; Circuits; Conductors; Data compression; Neural networks; Power transmission lines; Rail transportation; Transmission line measurements; Vibration measurement; Voltage; Network reconfiguration; mixed-integer hybrid differential evolution; power loss reduction; switching operation;
Journal_Title :
Power Engineering Review, IEEE
DOI :
10.1109/MPER.2002.4311941