A New Algorithm for Implementing Automation Process Based on Self Healing Technique

Abstract

This paper presents the application of Self Healing feature in automatic reconfiguration process of a power system inserted in a real industrial plant. Supporting the automation process, a new optimization algorithm, Power Summation Reconfiguration Algorithm (PSRA), is proposed whose objective function is minimizing the amount of switching during automatic reconfiguration process. Results obtained by using optimization algorithm developed in this paper were compared to ones from Chu-Beasley Modified Genetic Algorithm (CBMGA). The comparison was made between PSRA and CBMGA using Scilab simulation environment. The algorithm developed in this paper, PSRA, requires a simpler heuristic for implementation compared to CBMGA, besides presenting the same efficiency level. Then the electrical network was modeled in the Real Time Digital Simulator (RTDS) using the PSRA to implement the Self Healing technique. Intelligent Electronic Devices (IEDs) were used to protect and control the system. Two different network communications were used between RTDS and IEDs, one with digital signal and another with GOOSE messages based on the IEC 61850 standard. The time data obtained by the two network communication are compared to show the effectiveness of the PSRA.