Research on Sectionalizing Switches Placement Problem of Distribution System Automation Based on Multi-Objective Optimization Analysis

TL;DR

This paper presents a multi-objective optimization model and a modified genetic algorithm to optimally place sectionalizing switches in distribution systems, balancing reliability improvements and cost reductions.

Contribution

It introduces a novel multi-objective model and a modified genetic algorithm for optimal automation device placement in distribution networks.

Findings

The proposed algorithm effectively solves the multi-objective placement problem.

Application to real distribution feeders demonstrates practical feasibility.

Results show improved reliability and reduced operating costs.

Abstract

Achieving high distribution-reliability levels and concurrently minimizing operating costs can be considered as the main issues in distribution system optimization. Determination of the optimal number and location of automation devices in the distribution system network is an essential issue from the reliability and economical points of view. To address these issues, this paper develops a multi-objective model, wherein the primary objective, optimal automation devices placement is implemented aiming at minimizing the operating costs, while in the second objective the reliability indices improvement is taken into account. So, modified non dominated sorting genetic algorithm, is developed and presented to solve this multi-objective mixed-integer non-linear programming problem. The feasibility of the proposed algorithm examined by application to two distribution feeders of the Tabriz distribution network containing the third feeder of the Azar substation with a distributed generation unit and first and third feeders of ElGoli substation which form a double feed feeder.