A hybrid algorithm of ordinal optimization and Tabu Search for reactive power optimization in distribution system

Abstract

Reactive power optimization is an important issue in the distribution system, which can reduce the power loss and improve the voltage condition. In this paper, a hybrid algorithm named OOTS is proposed for reactive power optimization in the distribution system, which is based on Ordinal Optimization (OO) and Tabu Search (TS). The proposed algorithm can produce a good initial solution for TS because of the powerful global search ability of OO, and the convergence speed of TS can be promoted largely. The optimization process of the mathematical model consists of two steps, the first is to obtain a good initial solution for TS via OO, and the second is to find the global optimal solution using TS. Finally, a case study is conducted on a 28-bus distribution system. The optimization results are compared with OO and TS respectively, which show that the proposed hybrid algorithm has better convergence performance and stronger global optimization ability. © 2008 DRPT.