A Multiobjective Optimization Technique to Develop Protection Systems of Distribution Networks With Distributed Generation
| Autor: | Javier Contreras, Benvindo R. Pereira, Katiani Pereira, Jose Roberto Sanches Mantovani |
|---|---|
| Přispěvatelé: | Universidade Estadual Paulista (Unesp), Universidade de São Paulo (USP) |
| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
distributed generation reliability Computer science business.industry 020209 energy Reliability (computer networking) Technical standard Sorting Energy Engineering and Power Technology 02 engineering and technology protection devices Multi-objective optimization Coordination and selectivity Set (abstract data type) Distributed generation Genetic algorithm 0202 electrical engineering electronic engineering information engineering Resource management Electrical and Electronic Engineering business optimization |
| Zdroj: | Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| ISSN: | 1558-0679 0885-8950 1538-5000 |
| DOI: | 10.1109/tpwrs.2018.2842648 |
| Popis: | Made available in DSpace on 2018-12-11T17:24:11Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-05-30 This paper presents a new methodology based on multi-objective optimization techniques to perform an optimized, coordinated and selective allocation of control and protection devices in distribution networks with distributed generation (DG). The proposed mathematical model consists of two objective functions that consider economic issues and the network continuity index. Physical and operational constraints are taken into account, with emphasis on the set of constraints based on practical rules of distribution companies and international technical standards, which require the specification, coordination and selectivity of the protection devices installed in the network. The possibility of load transfer from neighboring feeders and islanded DG operation is also considered. The proposed model is a mixed integer non-linear programming and we use NSGA-II (Nondominated Sorting Genetic Algorithm) to solve it. The proposed methodology is applied in a real 135-bus system found in literature. Department of Electrical Engineering, Paulista State University, Ilha Solteira, SP Brazil 15385000 (e-mail: katianipereira85@gmail.com) Department of Computation and Electrical Engineering, Sao Paulo University, Sao Carlos Brazil 13162-150 (e-mail: brpjunior@gmail.com) E.T.S. de Ingenieros Industriales, University of Castilla - La Mancha, Ciudad Real Spain 13071 (e-mail: javier.contreras@uclm.es) Electrial Engineering, Sao Paulo State University, Ilha Solteira Brazil 15385-000 (e-mail: mant@dee.feis.unesp.br) |
| Databáze: | OpenAIRE |
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