Reliability evaluation of ring and triple-bus distribution systems – General solution for n-feeder configurations

Lazim, Mohammed T.; Zeidan, Mahmoud

doi:10.1016/j.ijepes.2012.10.022

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…Arya et al [13] used PSO for reliability enhancement of radial distribution system incorporating distributed generation (DG). Lazim et al [14] developed a general formula for calculation of n-feeder ringbus reliability and applied it to some practical distribution schemes. Arya et al [15] described a technique for determination of optimum duration between inspections for each distributor segment of a distribution system.…”

Section: List Of Symbolsmentioning

confidence: 99%

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Reliability Optimization of Radial Distribution Systems Employing Differential Evolution and Bare Bones Particle Swarm Optimization

Kela¹,

Arya²

2014

J. Inst. Eng. India Ser. B

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This paper describes a methodology for determination of optimum failure rate and repair time for each section of a radial distribution system. An objective function in terms of reliability indices and their target values is selected. These indices depend mainly on failure rate and repair time of a section present in a distribution network. A cost is associated with the modification of failure rate and repair time. Hence the objective function is optimized subject to failure rate and repair time of each section of the distribution network considering the total budget allocated to achieve the task. The problem has been solved using differential evolution and bare bones particle swarm optimization. The algorithm has been implemented on a sample radial distribution system. List of symbolsSAIFI System average interruption frequency index SAIDI System average interruption duration index CAIDI Customer average interruption duration index AENS Average energy not supplied k k , r k Failure rate and average repair time of k th distributor segment respectively L i Average load connected at i th load point k sys,i System failure rate at i th load point U sys,i System annual outage duration at i th load point N i Number of customers at load point i J Objective function k i,min and r i,min Reachable minimum values of failure rate and repair time of i th distributor segment k i,max and r i,max Maximum allowable failure rate and repair time of i th distributor segment SAIFI t, SAIDI t , CAIDI t and AENS t Target values of the respective indices CBUDGET The total budget available for preventive maintenance and corrective repair a K, b K Cost coefficients X ij 0 j th parameter of X i vector X j,min and X j,max Lower and upper bounds on variable X j rand j Random digit in the range [0, 1] r Scale factor X base (k) Base vector V ðkÞ i Mutant vector t i (k) Trial vector Cr Cross over rate or cross over probability j rand Random integer between [1,D] X ðkÞ i

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Section: List Of Symbolsmentioning

confidence: 99%

“…Some of the variables may cross the lower or upper bounds in a mutant vector V ðkÞ i in executing differential as governed by relation (14). Bounce back mechanism is adopted to bring such decision variables within limit.…”

Section: Bounce Back Technique For Handling Bounds On Decision Variablesmentioning

confidence: 99%

Reliability Optimization of Radial Distribution Systems Employing Differential Evolution and Bare Bones Particle Swarm Optimization

Kela¹,

Arya²

2014

J. Inst. Eng. India Ser. B

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show abstract

“…[13][14][15] also present a step by step evaluation procedure to assess the impacts of a particular DA scheme on reliability indices of a typical distribution reliability test system. On the other hand, diverse investigations have been fulfilled to evaluate the reliability aspects of non-automated distribution systems [16][17][18]. Furthermore, the article [19] develops composite models which reflect the effect of non-automated substation on non-automated distribution system reliability indices.…”

Section: Introductionmentioning

confidence: 99%