Abstract

In the paper, an analytical method for determining the optimal positioning of intelligent electronic devices in medium voltage grids is proposed. Intelligent electronic devices are automated devices able to communicate one with each other and command the circuit breaker in order to localize and isolate a line fault as fast as possible. However, the number of intelligent electronic devices to install has to be limited, due to the relevant installation costs and the reduction in the transmission bandwidth caused by the increased number of exchanged messages. So, the electrical distributor has to carefully detect the nodes of the grid where the intelligent electronic devices have to be installed. The authors propose a method based on integer linear programming, which, given the number of intelligent electronic devices to install, finds their optimal position, i.e., the one that minimizes the penalties associated with the power down experienced by customers. In order to highlight the offered advantages in terms of computational effort, the proposed approach has been assessed with a real medium voltage grid.

Highlights

  • Continuity of service is a fundamental characteristic in the electricity distribution field.ARERA, the Italian Regulatory Authority for Energy Networks and the Environment, established a system of bonuses and economic penalties for distributors based on the number and duration of electricity interruptions experienced by their consumers [1].Distribution System Operator (DSO) companies involved in electricity distribution invest considerable resources in the research of efficient tools and methods capable of locating the fault and restoring the service in the shortest time and powering down as few users as possible.The technological advancement both of the power of microprocessor systems and of communication methodologies contributes to making the electricity network more and more automated

  • The article is organized as follows: in Section 2, the logic selectivity approach is described, with particular attention to the method implemented by e-distribuzione; in Section 3, the description and the integer linear programming (ILP) formulation of the IED optimal location problem is given; Section 4 shows the assessment procedure to prove the effectiveness of the proposed methodology and the obtained results; in Section 5, some concluding remarks are given

  • The authors proposed an ILP-based method for determining the optimal location of a limited number of IEDs in an Medium Voltage (MV) smart grid

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Summary

Introduction

Continuity of service is a fundamental characteristic in the electricity distribution field. Distribution System Operator (DSO) companies involved in electricity distribution invest considerable resources in the research of efficient tools and methods capable of locating the fault and restoring the service in the shortest time and powering down as few users as possible. The technological advancement both of the power of microprocessor systems and of communication methodologies contributes to making the electricity network more and more automated. The article is organized as follows: in Section 2, the logic selectivity approach is described, with particular attention to the method implemented by e-distribuzione; in Section 3, the description and the ILP formulation of the IED optimal location problem is given; Section 4 shows the assessment procedure to prove the effectiveness of the proposed methodology and the obtained results; in Section 5, some concluding remarks are given

Traditional Automation
Logic Selectivity and Smart Fault Selection
Optimal Location of Automated IEDs on a Grid Network
Problem Description
Problem Setting and Formulation
Assessment on a Real Mv Grid
Findings
Conclusions
Full Text
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