Allocation of protective devices in distribution circuits using nonlinear programming models and genetic algorithms

Silva, Luis G. W. da; Pereira, R. Araujo; Mantovani, José Roberto Sanches

doi:10.1016/j.epsr.2003.08.010

Cited by 59 publications

(61 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A restrição que representa a confiabilidade do sistema está relacionada com a alocação de dispositivos de manobras e proteção e que devem ser abordadas através de modelos e técnicas de solução específica para o problema (Silva et al 2004). No problema de reconfiguração considera-se que em cada ramo existe uma chave sendo que nos ramos energizados, as chaves estão fechadas (chaves seccionadoras) e nos ramos de ligação, as chaves estão abertas (chaves de interconexão).…”

Section: Formulação Genérica Do Pro-blema De Reconfiguraçãounclassified

Algoritmos evolutivos dedicados à reconfiguração de redes radiais de distribuição sob demandas fixas e variáveis: estudo dos operadores genéticos e parâmetros de controle

Cebrian

Romero

Mantovani

2005

Sba Controle & Automação

View full text Add to dashboard Cite

This work presents the formulation and the computational implementation of an evolutionary algorithm (EA) to solve the reconfiguration problem of radial distribution systems under different loading condition. In a network reconfiguration problem, the string used for representation could have information on system topology. The codification adopted uses the decimal representation model. The mutation, crossover and selection operators for the reconfiguration algorithms are analyzed. The selection approached used are stochastic tournament, elitist and a mixed techniques that seeks to use the advantage of the stochastic tournament and elitist crossover operators. The crossover operator was developed considering the representation structure of the chromosome that maps the linkage branches and the system radiality exigency, and another structure that considers the topology and the network operation feasibility for the effectuate the genetic material change. Strategies to adequate the parameters and improve the efficiency of the evolutionary algorithm are proposed , emphasizing the dynamic variations of the crossover and mutation rates. The initial population RESUMONeste trabalho é apresentada a formulação e implementação computacional de um algoritmo evolutivo (AE) para resolver o problema de reconfiguração de sistemas de distribuição radiais sob diferentes condições de carregamento. Na codificação proposta para o problema utiliza-se modelo de representação decimal. Os operadores seleção, recombinação e mutação para o algoritmo de reconfiguração são analisados. As técnicas de seleção abordadas são torneio, elitismo e uma técnica mista que procura utilizar as vantagens do elitismo e do torneio. O operador recombinação foi desenvolvido considerando-se a estrutura de representação do cromossomo que mapeia os ramos de ligação e a exigência de radialidade do sistema, e uma outra estrutura que considera a topologia e a factibilidade de operação da rede para efetuar a troca do material genético. Estratégias para adequar

show abstract

Section: Formulação Genérica Do Pro-blema De Reconfiguraçãounclassified

Algoritmos evolutivos dedicados à reconfiguração de redes radiais de distribuição sob demandas fixas e variáveis: estudo dos operadores genéticos e parâmetros de controle

Cebrian

Romero

Mantovani

2005

Sba Controle & Automação

View full text Add to dashboard Cite

show abstract

“…But, with switching device, it can be possible to restore some of them. Although in references [6,7], the main subject is total cost and reliability index, there is brief pointing to energy restoration. The new model is developed to calculate the RI (restoration Index).…”

Section: Problem Formulationmentioning

confidence: 99%

“…In [6,8] reactive tabu-search is used to solve the problem. Another optimization methods used in papers is genetic algorithms as proposed in [2,7,9]. In this paper, genetic algorithm is used to solve nonlinear programming for the maximization of the energy restoration in distribution systems.…”

Section: Optimization Of the Objective Functionmentioning

confidence: 99%

“…Therefore, there is an increasing interest in optimization of allocation of protective and switching devices in distribution systems and there have been many studies in this regard [2][3][4][5][6][7][8][9][10]. References [6,7,11] propose different mathematical models and optimization methodologies for optimal placement of protective and switching devices. The objectives of the references are to increase the reliability and to decrease the costs.…”

Section: Introductionmentioning

confidence: 99%

“…The objectives of the references are to increase the reliability and to decrease the costs. Several optimization methods have been used to solve such problems as genetic algorithm (GA), ant colony system (ACS), reactive tabu search (RTS), simulation annealing, etc [5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimized Switch Allocation to Improve the Restoration Energy in Distribution Systems

Hashemi‐Dezaki¹,

Abyaneh²,

Agheli³

et al. 2012

Journal of Electrical Engineering

View full text Add to dashboard Cite

In distribution networks switching devices play critical role in energy restoration and improving reliability indices. This paper presents a novel objective function to optimally allocate switches in electric power distribution systems. Identifying the optimized location of the switches is a nonlinear programming problem (NLP). In the proposed objective function a new auxiliary function is used to simplify the calculation of the objective function. The output of the auxiliary function is binary. The genetic algorithm (GA) optimization method is used to solve this optimization problem. The proposed method is applied to a real distribution network and the results reveal that the method is successful.K e y w o r d s: Power distribution systems, switches, restoration energy, genetic algorithm (GA)

show abstract

A novel practical method for simultaneous placement of switching and protective devices considering load uncertainty

Yari

Shakarami

Namdari

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary A smart distribution system should be able to restore interrupted customers as quickly as possible after outages. By optimal allocation of switching and protective devices, it is possible to enhance the reliability and increase the restoration capacity of the loads after an outage. In this paper, by taking into account uncertainty in the load data, a novel practical method for the simultaneous planning of optimum location of switching devices including tie‐lines and remote‐control switches (RCSs), fault indicators, and cut‐out fuses is proposed. In this paper, a method for minimization of the costs associated with equipment investment and interruption cost has been proposed. Practical parameters such as geographical position and conditions of the understudy network and feeders, and the configuration and possible constraints of the real network from the experts' viewpoint, have been considered in this study. The actual characteristics of the network are extracted by utilizing the analytical hierarchical process (AHP), the geographic information system (GIS) data, and the event recording software. To optimize the problem, the multi‐objective nondominated sorting genetic algorithm II (NSGAII) is employed. The efficacy of the proposed method is proved through simulation of a real medium‐voltage (MV) feeder.

show abstract

Allocation of protective devices in distribution circuits using nonlinear programming models and genetic algorithms

Cited by 59 publications

References 5 publications

Algoritmos evolutivos dedicados à reconfiguração de redes radiais de distribuição sob demandas fixas e variáveis: estudo dos operadores genéticos e parâmetros de controle

Algoritmos evolutivos dedicados à reconfiguração de redes radiais de distribuição sob demandas fixas e variáveis: estudo dos operadores genéticos e parâmetros de controle

Optimized Switch Allocation to Improve the Restoration Energy in Distribution Systems

A novel practical method for simultaneous placement of switching and protective devices considering load uncertainty

Contact Info

Product

Resources

About