Abstract

Distribution network automation is considered by power supply companies as an effective investment strategy to improve reliability and service quality. Switching devices and protective devices play an important role in the distribution automation system (DAS). This paper presents a novel method to optimize placement of fault indicators and sectionalizing switches in distribution networks with branch lines. The objective function of the proposed method includes the total cost of fault indicators and sectionalizing switches as well as interruption cost. Among different automation equipment, this paper considers fault indicators and remote controlled switches. Besides, manual switches are taken into account since their number and location have a significant impact on the optimal placement problem. Mixed-integer linear programming is used to model the problem, and the proposed model can be solved by large-scale commercial solvers. The solution to the problem is composed of the optimal number and location of fault indicators and sectionalizing switches. The validity of the proposed method is demonstrated by relevant case studies and sensitivity analysis. Moreover, the proposed method is applied to a real distribution network to verify its practicability.

Highlights

  • With the increasingly fierce competition in the power market, power supply companies enhance their competitiveness by improving reliability and service quality

  • In this paper, a mixed-integer linear programming model is proposed to find out the number and location of fault management equipment of the distribution network

  • The proposed method can effectively solve the optimal configuration of fault management equipment in the distribution network with branch lines

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Summary

INTRODUCTION

With the increasingly fierce competition in the power market, power supply companies enhance their competitiveness by improving reliability and service quality. To meet the reliability requirements and reduce the investment significantly, it is necessary to optimize the placement of fault indicators and sectionalizing switches in the distribution network. Reference [14] adopted immune algorithm to solve the optimal placement of sectionalizing switches and aimed to minimize the reliability investment cost. It is easy to find the difficulty in the optimal placement of fault indicator, and sectionalizing switch is to model the coordination relationship between different types of devices and calculate the interruption cost. A mixed-integer linear programming model is established to solve the optimal placement of fault indicator and sectionalizing switch in the distribution network with branch lines. The main contributions and innovations of this paper are summarized as follows: 1) This paper proposes a mixed-integer linear programming model and solves the optimal placement of different automation equipment in the distribution network.

PROBLEM STATEMENT
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CASE STUDY
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