Application of the evolutionary algorithm with memory at the population level for restoration service of electric power distribution networks

Stępień, J. C.; Filipiak, S.

doi:10.1016/j.ijepes.2014.06.034

Cited by 10 publications

(4 citation statements)

References 21 publications

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“…The next stage after black-start scheduling is network reconfiguration and load restoration. Significant research has been devoted to solving the load restoration problem [16]- [25]. This problem has also been approached using the meta-heuristic algorithms [16],fuzzy technology [17], multi-agent technologies [18] and other non-structured methods [2].…”

Section: Introductionmentioning

confidence: 99%

“…Significant research has been devoted to solving the load restoration problem [16]- [25]. This problem has also been approached using the meta-heuristic algorithms [16],fuzzy technology [17], multi-agent technologies [18] and other non-structured methods [2]. Authors in [20] proposed a new approach based on optimal power flow technique to minimize customer load shedding aiming to improve load pickup.A software tool to simulate the recovery process of smart grid after an accordance of black out is presented in [21].…”

Section: Introductionmentioning

confidence: 99%

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Load restoration methodology considering renewable energies and combined heat and power systems

Alwan¹,

Farhan²

2018

IJET

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Outages and faults cause problems in interconnected power system with huge economic consequences in modern societies. In the power system blackouts, black start resources such as micro combined heat and power (CHP) systems and renewable energies, due to their selfstart ability, are one of the solutions to restore power system as quickly as possible. In this paper, we propose a model for power system restoration considering CHP systems and renewable energy sources as being available in blackout states. We define a control variable representing a level of balance between the distance and importance of loads according to the importance and urgency of the affected customer. Dynamic power flow is considered in order to find feasible sequence and combination of loads for load restoration.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Load restoration methodology considering renewable energies and combined heat and power systems

Alwan¹,

Farhan²

2018

IJET

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“…Adicionalmente, este é um problema complexo de otimização combinatória que geralmente envolve múltiplos objetivos e restrições não lineares (SANCHES et al, 2014). Algoritmos evolutivos (SANCHES et al, 2014), (STęPIEń;FILIPIAK, 2014) e métodos heurísticos como enxame de partículas e algoritmos genéticos (LAMBERT-TORRES et al, 2009) têm sido propostos para lidar efetivamente com este tipo de problema de otimização.…”

Section: Introductionunclassified

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

Oliveira¹,

Oliveira²,

Silva³

et al. 2017

LSP

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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

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“…In general, these methods are very effective, but the structure of the expert system can be complex to be applied to practical systems. This problem has also been approached using the decomposition method [8], meta-heuristic algorithm [9][10][11], and fuzzy technology [12][13]. Other approaches for service restoration can be found in [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective service restoration of distribution systems using user-centered methodology

Wang

Chiang

2016

International Journal of Electrical Power & Energy Systems

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A multi-objective problem formulation of service restoration and a three-stage methodology tailored to user-centered service restoration for large-scale, unbalanced distribution systems are presented. One feature is that it allows the experience and engineering judgment of users to be integrated into the three-stage methodology. Since solutions suggested by a method need to be compromised with engineering judgment, this methodology involves system users (at Stage II), meta-heuristics (at Stage I) and local heuristics in combination with restoration strategies (at Stage III) for efficient and robust performance in service restoration. An adaptive K-means method is incorporated in the proposed group-based PSO (Stage I) for global search. It also assists users in their decision making. The evaluation results of the proposed user-centered methodology on the IEEE 123-node test feeder and a 1011-node practical unbalanced network show its effectiveness and flexibility in restoring service after faults on these two test systems.

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Application of the evolutionary algorithm with memory at the population level for restoration service of electric power distribution networks

Cited by 10 publications

References 21 publications

Load restoration methodology considering renewable energies and combined heat and power systems

Load restoration methodology considering renewable energies and combined heat and power systems

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

Multi-objective service restoration of distribution systems using user-centered methodology

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