Reliability evaluation and enhancement of distribution systems in the presence of distributed generation based on standby mode

Arya, Rajesh; Choube, S.C.; Arya, L. D.

doi:10.1016/j.ijepes.2012.05.045

Cited by 39 publications

(23 citation statements)

References 20 publications

(26 reference statements)

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“…Step-3: Obtain sample of total available capacity C T,k of system using relation (11) with given value of transition rates of distribution substation and DG units. Load level l i of multi step load model is considered for kth system state.…”

Section: Methodology For Evaluation Of Reliability Indicesmentioning

confidence: 99%

See 1 more Smart Citation

Frequency-duration analysis of composite distribution system using a non-sequential Monte Carlo simulation

Arya¹,

Koshti²,

Choube³

2013

International Journal of Electrical Power & Energy Systems

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Section: Methodology For Evaluation Of Reliability Indicesmentioning

confidence: 99%

“…Markov modeling has been employed to obtain capacity outage table for DG sets. Arya et al [11] described an analytical methodology for reliability evaluation and enhancement of distribution system having distributed generation (DG). Standby mode of operation of DG has been considered for this purpose.…”

Section: Introductionmentioning

confidence: 99%

Frequency-duration analysis of composite distribution system using a non-sequential Monte Carlo simulation

Arya¹,

Koshti²,

Choube³

2013

International Journal of Electrical Power & Energy Systems

Self Cite

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“…The modeling aspect for such calculation have been presented by Arya et al [19] and further used in Ref. [20].…”

Section: Determination Of Dif Of a Section For Load Point Having Dgmentioning

confidence: 99%

Ranking of feeder sections of distribution systems for maintenance prioritization accounting distributed generations and loads using diagnostic importance factor (DIF)

Arya¹

2016

International Journal of Electrical Power & Energy Systems

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“…Damghani et al [12] used PSO for multi objective planning and redundancy allocation. 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.…”

Section: List Of Symbolsmentioning

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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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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Reliability evaluation and enhancement of distribution systems in the presence of distributed generation based on standby mode

Cited by 39 publications

References 20 publications

Frequency-duration analysis of composite distribution system using a non-sequential Monte Carlo simulation

Frequency-duration analysis of composite distribution system using a non-sequential Monte Carlo simulation

Ranking of feeder sections of distribution systems for maintenance prioritization accounting distributed generations and loads using diagnostic importance factor (DIF)

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

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