Enhancement of genetic algorithm optimization on distribution operation control by fuzzy inclusion

Abstract

The optimal control of distribution system operation is presented in this paper. The objective of the control is minimum real power loss simultaneously achieved with voltage profile improvement. The distribution system equipped with Load Tap Changer (LTC) and switchable Shunt Capacitors is optimally controlled by determining the tap position of LTC and switching status of Shunt Capacitor at every hour for the 24-hour period. Two Genetic Algorithms (GAs) are developed for load curve partition and hourly components status determination. The performance of GA for components optimal scheduling is further enhanced by integrating Fuzzy Strategies in fitness evaluation and constraints satisfaction. The scheme of Fuzzy Convex Decision Making (FCDM) that provides flexible objective achievement and soft constraints is employed. This enables considering more extensive solutions that may lead to better optimal control. The proposed control strategy is implemented on 30-bus distribution system and the system improvements are observed. The enhancement of fuzzy integration is highlighted.