Load restoration in electric distribution networks using a metaheuristic technique

Duque, Oscar; Morinigo, D.

doi:10.1109/melcon.2006.1653277

Cited by 5 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The non-linearity of this problem is due to the electrical equipment and the power electronic devices used in the network [4]. Its complex combinatorial nature is due to the large probability obtained by changing the switches in order to find the optimum configuration to realize the objective function within the constraints [6]. Its stochastic nature is due to the continuous change of demand.…”

Section: A Dnr Objectives and Constraintsmentioning

confidence: 99%

“…Its discrete nature is due to the change of the state of switches between on and off. Therefore, this problem could be described mathematically as a hardNon-Polynomial (NP) optimization problem [4,6]. The main features of DNR are highlighted during emergency (a fault), as a part of the system should be isolated to minimize the number of affected consumers by feeding them from another feeder.…”

Section: A Dnr Objectives and Constraintsmentioning

confidence: 99%

See 1 more Smart Citation

Distribution network reconfiguration in smart grid system using modified particle swarm optimization

Atteya

Ashour

Fahmi

et al. 2016

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)

View full text Add to dashboard Cite

Section: A Dnr Objectives and Constraintsmentioning

confidence: 99%

Section: A Dnr Objectives and Constraintsmentioning

confidence: 99%

Distribution network reconfiguration in smart grid system using modified particle swarm optimization

Atteya

Ashour

Fahmi

et al. 2016

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)

View full text Add to dashboard Cite

“…However, solving a load restoration problem by using mix integer programming is complicated as the power flow problem is a non-convex problem which also involve non-linear objective functions and constraints. Tabu Search [7], Genetic Programming [8], and Particle Swarm Optimization techniques [9] [10] are the example of meta heuristics methods employed to solve the load restoration problem. The disadvantage of meta heuristics method is that there is no guarantee for optimality and different searching algorithm may result in different solution for the identical problem.…”

Section: Introductionmentioning

confidence: 99%

Load Restoration in Distribution System using Minimum Spanning Tree - Prim's Algorithm

Mohamad*¹,

Razali²,

Salim³

et al. 2019

IJRTE

View full text Add to dashboard Cite

Power outage is detrimental to the grid system therefore solving the issue within a short amount of time is indeed compulsory. Load restoration is one the solution required in ensuring the load can be connected within short amount of time. This study proposes a methodology to solve the load restoration problem using minimum spanning tree by determining the switching sequence according to the Prim’s algorithm. By using this algorithm, the switching is done based on the most minimum path which refer to the flow of power through the minimal value of weighted impedances. This method ensures that the losses is minimized and the voltage limit is not violated. The load restoration in this study focuses on reconfiguring the tie-lines in the 33-bus radial distribution network. Results obtained shows that Prim’s algorithm is effective in restoring the loads by reconfiguring the network in a way that total active power losses are minimized. This algorithm is also compared with the Binary Particle Swarm Optimization (BPSO) to prove the effectiveness of this method thus enhancing the power system reliability.

show abstract

“…Em sistemas de distribuição, a ocorrência destas faltas pode implicar na abertura de uma ou mais trechos de alimentadores da rede, podendo afetar o suprimento de energia. Os impactos referentes à interrupção de fornecimento de energia dependem do tempo requerido para localizar a falta, isolar os trechos ou a região afetada e transferir parte ou todo o seu carregamento para outros alimentadores (DUQUE; MORINIGO, 2006), (BORGES et al, 2011).…”

Section: Introductionunclassified

Restabelecimento De Sistemas De Distribuição De Energia Através Da Técnica Enxame De Partículas

Oliveira¹,

Oliveira²,

Silva³

et al. 2017

LSP

View full text Add to dashboard Cite

ResumoEste artigo propõe uma metodologia para restabelecimento ótimo de sistemas elétricos radiais de distribuição após a ocorrência de faltas. Este complexo problema requer um processo decisório em que a natureza combinatória pode inviabilizar a avaliação de todas as soluções possíveis dentro de tempos aceitáveis. Portanto, a metodologia proposta baseia-se na técnica enxame de partículas (EP) binário para tratamento das variáveis discretas associadas com as decisões de chaveamento. O processo de restabelecimento envolve um modelo multi-objetivo de reconfiguração em que os objetivos são maximizar a carga 1 professor dos cursos

show abstract

Load restoration in electric distribution networks using a metaheuristic technique

Cited by 5 publications

References 11 publications

Distribution network reconfiguration in smart grid system using modified particle swarm optimization

Distribution network reconfiguration in smart grid system using modified particle swarm optimization

Load Restoration in Distribution System using Minimum Spanning Tree - Prim's Algorithm

Restabelecimento De Sistemas De Distribuição De Energia Através Da Técnica Enxame De Partículas

Contact Info

Product

Resources

About