Abstract

This paper presents a new method to determine the optimal number and locations of autorecloser and sectionalizer switches (AR/S) in distribution networks. The costs of AR/S investment, switch maintenance, and undistributed energy as well as reliability coefficients are considered in the objective function. Reliability parameters such as SAIFI, SADI, MAIFI, and ENS are evaluated in the case study system. As a new method, the weights of the reliability parameters are obtained by decision-makers using the analytical hierarchy process (AHP). The optimal size, type, and location of automatic switches are determined by minimizing the objective function using the particle swarm optimization (PSO) algorithm. The effectiveness of the proposed method is tested by implementing it on two feeders of Isfahan's electric distribution network. The results indicate the efficiency and applicability of the proposed method.

Highlights

  • The supply of stable and continuous energy for electrical customers has a vital role in our lives

  • The genetic algorithm (GA) and particle swarm optimization (PSO) algorithms were used to determine the optimal locations of automatic switching devices with minimum cost and maximum reliability in [3,4]

  • A new model to determine the location and number of AR/S switches including reclosers and sectionalizers in power distribution networks is presented in this paper

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Summary

Introduction

The supply of stable and continuous energy for electrical customers has a vital role in our lives. The GA and PSO algorithms were used to determine the optimal locations of automatic switching devices with minimum cost and maximum reliability in [3,4]. A scheme based on cost minimization was applied to obtain the locations of switching devices in electrical distribution networks by using a GA in [6]. The weights of the reliability indices obtained by the AHP algorithm were used to determine the optimal location of switches in distribution networks in [9,10]. A PSO algorithm using cost/reliability analysis is applied to determine the types, sizes, and locations of autoreclosers and sectionalizers in radial distribution networks [15,16]. The weights of the reliability parameters are obtained by decision-makers using the AHP algorithm This program can calculate the load flow of the system using the forward/backward method. The results of load flow analysis are applied to obtain the reliability parameters [18]

Load center
Objective function
Calculation of load flow and reliability parameters
Simulation of Isfahan’s 52-bus electric system
80 KW 28 S
80 KW 38 37 37
Conclusion
Nomenclature

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