A multi-objective optimization-based model for the deployment of reclosers and remote-controlled switches using NSGA2 and entropy weighted TOPSIS method
| Autor: | Chaimae Zedak, Abdelaziz Belfqih, Tayeb Ouaderhman, Jamal Boukherouaa, Faissal El Mariami, Anass Lekbich |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
Reclosers Control and Optimization Computer Networks and Communications Computer science NSGA-II SAIDI Electrical distribution networks SAIFI Multi-objective optimization Smart-grid Entropy (information theory) Reliability indices Electrical and Electronic Engineering TOPSIS Remote-controlled switches Pareto principle Particle swarm optimization Ideal solution Smart grid Hardware and Architecture Recloser Signal Processing Information Systems |
| Popis: | Since they are fast, remote-controlled, automated and intelligent, reclosersand switches are an inevitable solution for improving the reliability ofintelligent electrical distribution networks at optimal cost. However, theirlocation and coordination have great effects on the protection and automationstrategies of complex electrical distribution networks against multipleunpredictable faults. Which requires a flexible and multi-criteria optimizationmethod. In this article, we propose a multi-objective method based on ananalytical model by considering the fault rate, restoration times, outage costand coordination between devices. The non-dominated genetic sortingalgorithm II was proposed to obtain the optimal Pareto solutions, and atechnique of performance control by similarity with the ideal solution wasused to classify them. The objective criteria weights are based on the entropymethod which allows solutions to be obtained and better classified with theminimum of subjectivity. The IEEE33 and IEEE13 bus test networks wereused to verify the method. The results obtained are compared to a binarymulti-objective particle swarm optimization method and the results show thatthe proposed method reduces the overall costs, reduces the undeliveredenergy of the system and improves the reliability of the service. |
| Databáze: | OpenAIRE |
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