RECONFIGURATION OF DISTRIBUTION NETWORKS BY META-HEURISTICS ALGORITHMS

Abstract

In Power Systems, distribution networks really spend amount of power loss To reduce the power loss there are some solutions such as upgrading networks, setting capacitors at some places in networks, etc. This paper is concentrated on re-configuring networks to reduce power loss. This means looking for a optimal configuration to operate the distribution system. Some Heuristics search methods for optimization problems were proposed such as Heuristics, Genetics, Simulated Annealing. We proposed Ant Colony Search (ACS) and Hybrid ACS combining membership functions to achieve both the globe optimization and the fastest computing time. Results are examined on a typical distribution network and a feeder of Hochiminh Power Company.