A Heuristic Multiobjective Method for Radial Distribution Networks Reconfiguration

Shojaeian, Shahrokh; Ghandehari, Ebrahim

doi:10.1155/2013/654074

Cited by 5 publications

(2 citation statements)

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“…Voropai and Undraal carried out the DSR with DG problem for the power system of Mongolia with single objective function of loss reduction under normal operation condition and reliability improvement after contingency condition based on ant colony algorithm [11]. Shojaeian and Ghandehari introduced sifting algorithm for DSR with an objective of real power loss and voltage deviation reductions and applied to standard 16-bus RDS with advantage of search space reduction using the method of eliminating infeasible typologies [12]. Hong et al presented a DSR for distribution feeder containing photovoltaic arrays using an enhanced PSO algorithm with the objective of avoidance of injection of reverse power into a substation [13].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System

Hussain

Al-Jubori

Kadom

2019

Journal of Engineering

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Distribution System Reconfiguration (DSR) and Optimal Capacitor Placement (OCP) are the most alternative techniques for increasing the power system generation and covering the growth of power demands. These techniques reduce the Radial Distribution System (RDS) losses and enhance the voltage profile. Combining both techniques gives better performance than using the individual technique. In this paper, two operation modes were implemented. First, the individual mode of OCP is applied. Second, the dual mode of DSR after OCP process is applied. Multiobjective functions with considering the weighting factors are used for minimizing real losses, improving voltage profile, and increasing saving cost. The optimal selections of open switches, location, and size of capacitors in the individual and dual design for RDS are achieved using four different optimization algorithms. These algorithms are Modified Biogeography-Based Optimization (MBBO) algorithm, Cuckoo Search (CS) algorithm, Modified Imperialist Competitive (MIC) algorithm, and Modified Bacterial Foraging-Based Optimization (MBFBO) algorithm. These algorithms are applied for two standard networks (IEEE 33- and IEEE 69-bus). Comparisons among the proposed algorithms are done, and the results demonstrated that the MBBO algorithm is the most strong and fast algorithm to attain the optimum solution. In addition, comparisons with literature works are done to validate the effectiveness of proposed algorithms.

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Section: Introductionmentioning

confidence: 99%

Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System

Hussain

Al-Jubori

Kadom

2019

Journal of Engineering

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“…Por se tratar de um problema de caráter combinatório, as soluções clássicas de otimização não se apresentam como primeira opção na resolução do problema de reconfiguracão. Heurísticas e meta-heurísticas são as abordagens mais utilizadas na literatura para a resolução do problema de RSDR, Su et al (2005), Shojaeian and Ghandehari (2013) e Oliveira (2011).…”

Section: Introductionunclassified

Otimização multiobjetivo utilizando o NSGA-II adotando uma nova abordagem para reconfiguração na distribuição de sistemas de potência

Viana

Sousa²

2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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The reconfiguration problem has the objective of finding the best radial topology in a Radial Distribution System (RDS) in order to, among other possible objectives, minimize the active power losses. This work proposes a new approach for the multiobjective reconfiguration of this type of network. The multiobjective reconfiguration in RDS's presents itself as a problem of combinatorial complexity, with numerous restrictions and diverse solutions. The reconfiguration technique is one of the most used because it is low cost, compared to other approaches to reduce technical losses. The proposed approach was tested using the NSGA-II multi objective Evolutionary Algorithm (AE) (Elitist Non-Dominated Sorting Genetic Algorithm). The approach proposed here was able to treat the infeasible solutions, specific to AE's, in the systems tested (33, 84 and 136 bars). It can be verified the efficiency and robustness of the methodology even for medium systems Resumo: O problema de reconfiguração tem por objetivo encontrar a melhor topologia radial em um Sistema de Distribuição Radial (SDR), de modo a, dentre outros possíveis objetivos, minimizar as perdas de potência ativas. Este trabalho propõe uma nova abordagem para a reconfiguração multiobjetivo deste tipo de rede. A reconfiguração multiobjetivo em SDR's apresenta-se como um problema de complexidade combinatória, com inúmeras restrições e soluções diversas. A técnica de reconfiguraçãoé uma das mais utilizadas por ser de baixo custo, frente a outras abordagens de redução de perdas técnicas. A abordagem proposta foi testada utilizando o Algoritmo Evolutivo (AE) multiobjetivo NSGA-II (Elitist Non-Dominated Sorting Genetic Algorithm). A abordagem aqui proposta foi capaz de tratar as soluções infactíveis, próprias de AE's, nos sistemas testados (33, 84 e 136 barras). Pode-se constatar a eficiência e robustez da metodologia mesmo para sistemas de médio porte.

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Review on reliability improvement and power loss reduction in distribution system via network reconfiguration

Sultana

Mustafa

Sultana

et al. 2016

Renewable and Sustainable Energy Reviews

162

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A Heuristic Multiobjective Method for Radial Distribution Networks Reconfiguration

Cited by 5 publications

References 15 publications

Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System

Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System

Otimização multiobjetivo utilizando o NSGA-II adotando uma nova abordagem para reconfiguração na distribuição de sistemas de potência

Review on reliability improvement and power loss reduction in distribution system via network reconfiguration

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