Optimal Distribution System Planning for Productivity Improvement Using GA

In medium voltage electrical distribution networks, prevent the loss reduction is very important and certainly in line with this, system engineering issue and use of proper equipment, a good work has been done. Development of distribution systems result in higher system losses and poor voltage regulation. Consequently, an efficient and effective distribution system has become more urgent and important. Hence proper selection of conductors in the distribution system is important as it determines the current density and the resistance of the line. Evaluation aging conductors for losses and costs imposed in addition to the careful planning of technical and economic networks can be identified in the network design. This paper examines the use of different evolutionary algorithms, imperialist competitive algorithm (GA) to optimal branch conductor Selection and Reconstruction In view of the aging conductors in planning radial distribution systems with the objective to minimize the overall cost of annual energy losses and depreciation on the cost of conductors in order to improve productivity. Simulations are carried out on 69-bus radial distribution network using GA approaches in order to show the accuracy as well as the efficiency of the proposed solution technique.

Keywords:

Radial Distribution Systems , Genetic Algorithm , Backward-Forward sweep , Loss Reduction , Aging conductors