Optimal planning of recloser-based protection systems applying the economic theory of the firm and evolutionary algorithms

Velásquez, Miguel A.; Cadena, Alberto; Táutiva, Camilo

doi:10.1109/isgteurope.2013.6695350

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…However, the simple GA is slow in convergence. In , the optimal placement of reclosers in MG by simple GA and differential evolution is to minimize the average customer interruption time. However, only recloser is considered.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective optimal placement of protective devices on microgrid using improved binary multi-objective PSO

Prommee

Ongsakul

2014

Int. Trans. Electr. Energ. Syst.

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SUMMARYThis paper proposes an improved binary multi-objectives particle swarm optimization (IB-MOPSO) for solving optimal multiple protective devices placement using improved reliability model in a microgrid (MG) system. The multi-objectives are to minimize system average interruption frequency index, system average interruption duration index, and total cost including investment and interruption cost. Binary multi-objectives PSO (B-MOPSO) is enhanced by using a bell shape function and three particle movement strategies including global guidance located in the least crowded areas, perturbation with different evolution method, and coverage of unexplored search space in the non-dominated front. For MG planning, IB-MOPSO can find better locations and number of protective devices including reclosers, switches, and fuses than B-MOPSO and ant colony optimization on the 51 section Provincial Electricity Authority of Thailand MG distribution system.

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Section: Introductionmentioning

confidence: 99%

“…The EM‐based method is used to determine the weights of each objective function, but it gives very little information on the potential trade‐offs. It should be observed that the above objective functions represent only a single combined objective function.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal placement of protective devices on microgrid using improved binary multi-objective PSO

Prommee

Ongsakul

2014

Int. Trans. Electr. Energ. Syst.

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Optimum Location of DG for Loss Reduction with Ant Colony Algorithm

Omar

Manan

Siam

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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The ability of the Distributed Generation (DG) to solve problems such as power system deregulation and power demand problems appropriate to its purpose, which is to inject electricity in a distributed manner at a point close to the load, causes the distributed generation to become the latest trend in electricity generation technology. Proper position of distributed generation is necessary in order to achieved maximum benefit from DG, which could be due to an incorrect allocation of DG sources to the power network would not only result in increased power losses, but could also jeopardize the operation of the system. This paper introduces an ACO-algorithm for optimal location of DGs using a real network in one of a rural area of Malaysia. The method is used to determine the effectiveness of DG by comparing the losses of power and the improvement of the voltage profile. As for the confirmation to the ACO method, another method known as brute force method is use to compare the data gain as validation purposes.

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Multi-objective planning of recloser-based protection systems on DG enhanced feeders

Velásquez

Quijano

Cadena

2015

2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)

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Optimal planning of recloser-based protection systems applying the economic theory of the firm and evolutionary algorithms

Cited by 4 publications

References 8 publications

Multi-objective optimal placement of protective devices on microgrid using improved binary multi-objective PSO

Multi-objective optimal placement of protective devices on microgrid using improved binary multi-objective PSO

Optimum Location of DG for Loss Reduction with Ant Colony Algorithm

Multi-objective planning of recloser-based protection systems on DG enhanced feeders

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