A parallel genetic algorithm for service restoration in electric power distribution systems

Fukuyama, Yoshikazu; Chiang, Hsiao Dong

doi:10.1109/fuzzy.1995.409692

Cited by 42 publications

(12 citation statements)

References 9 publications

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“…With reference to the foregoing, simulation methods have been recently introduced based on computational solutions, i.e. the Petri net [8,13,14], genetic algorithm methods [3][4][5][6], the Monte Carlo method [7,10,12] and many more. However, in order to be able to rely on the aforementioned reliability assessment methods, reliability parameters of all system components need to be determined.…”

Section: Introductionmentioning

confidence: 99%

New reliability coefficients of MV/LV transformer/distribution substation and its components

Chojnacki

2012

International Journal of Electrical Power & Energy Systems

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Section: Introductionmentioning

confidence: 99%

New reliability coefficients of MV/LV transformer/distribution substation and its components

Chojnacki

2012

International Journal of Electrical Power & Energy Systems

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“…In particular, genetic algorithms (GAs) have been widely applied to the solution of power system operational problems, such as optimal network reconfiguration aimed at minimizing operational costs and network losses [7][8][9], contingency selection to evaluate and improve static security [10], reactive power/voltage control [11][12][13], service restoration [14,15], optimal load shedding [16].…”

Section: Introductionmentioning

confidence: 99%

Improving high-voltage transmission system adequacy under contingency by genetic algorithms

Gatta

Geri

Lauria

et al. 2009

Electric Power Systems Research

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“…In case of partial restoration, including to quickly determine restoration plans and build look-up tables capacitor control action that increases the power transfer capacity reduces out-of-service area. The operating time of fredition persona sthe ory [9], networ manual and automatic controlled switches is significantly reductiontechnique [10] andthe rankingbased searchmethod different. Therefore both type of switches are considered [11] have also been developed.…”

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confidence: 99%

Genetic algorithm for supply restoration in distribution system with priority customers

Kumar

Das

Sharma

2006

2006 International Conference on Probabilistic Methods Applied to Power Systems

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service area as efficiently as possible and the burden of Abstract-In this paper an algorithm based on genetic operators, a computer aided decision supports assist the algorithm is proposed to solve service restoration problem in operators. The researchers have developed many methods to power distribution systems with priority customers. In genetic solve the service restoration problem in distribution systems algorithm new solutions are found in every next generation with probability of getting the better solution till the optimal solution [1]- [12]. Heuristic techniques [1]- [4] have been developed is not found. Service restoration problem is formulated as multi-using heuristic rules. Because heuristic techniques rely on the objective multi-constraint combinatorial optimization problem. knowledge of operator of distribution systems, a compromiseThe integer permutation scheme is used to generate the offspring between knowledge acquisition and performance of the in genetic algorithm. Integer permutation does not allow the solution is made. Expert systems [5]- [8] have been developed hamming cliff problem. In case of partial restoration, including to quickly determine restoration plans and build look-up tables capacitor control action that increases the power transfer capacity reduces out-of-service area. The operating time of fredition persona sthe ory [9], networ manual and automatic controlled switches is significantly reductiontechnique [10] andthe rankingbased searchmethod different. Therefore both type of switches are considered [11] have also been developed. The petri-net approach [12] separately. The comprehensive simulation results of proposed has been developed. In [12] the knowledge or the method including single fault and multi faults are presented for configuration of the concern system in the form of graphic five test systems of different size. representation is expressed through a structured model. In [11] genetic algorithm is used to solve the service restoration Before automation in distribution systems, only manual priority customers. controlled switches were used in distribution system. After development of automatic controlled switches for the purpose of automation, these manual controlled switches started to be I. INTRODUCTION replaced by automatic controlled switches. As a result, three AULTED events are unavoidable in the huge and complex categories of presently existing distribution systems can be relectrical power distribution systems. These faults affect seen. 1. Those have only manual controlled switches. 2. Those the system's reliability and customer's satisfaction. So the have both manual and automatic controlled switches. 3. Those reduction in the effect of fault is necessary to maintain the have automatic controlled switches only. The operating time system's reliability and customer's satisfaction by restoring of both types of switches is different. Therefore, both type of the service quickly in the area left unsupplied due to fault. switches should be considered separately. After o...

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A parallel genetic algorithm for service restoration in electric power distribution systems

Cited by 42 publications

References 9 publications

New reliability coefficients of MV/LV transformer/distribution substation and its components

New reliability coefficients of MV/LV transformer/distribution substation and its components

Improving high-voltage transmission system adequacy under contingency by genetic algorithms

Genetic algorithm for supply restoration in distribution system with priority customers

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