2016
DOI: 10.1109/tste.2015.2478518
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A Time-Dependent Approach to Evaluate Capacity Value of Wind and Solar PV Generation

Abstract: Contribution of renewable energies in power systems is increasing due to continuous growth of wind and solar generators. Because of intermittency and uncertainty of these resources, conventional reliability evaluation methods are not applicable and different techniques have been developed to model these generators. However, most of these methods are time-consuming or may not be able to keep time dependency and correlations between renewable resources and load. Therefore, this paper intends to improve the exist… Show more

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Cited by 47 publications
(45 citation statements)
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References 26 publications
(40 reference statements)
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“…In this paper time dependent clustering method [5] is utilized to evaluate the reliability benefits of wind power in VIC and NSW. In this method, load, wind power and exchanged electricity are modelled as time dependent clusters and hourly reliability indices of the system are calculated based on the hourly values of these clusters.…”
Section: Reliability Assessmentmentioning
confidence: 99%
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“…In this paper time dependent clustering method [5] is utilized to evaluate the reliability benefits of wind power in VIC and NSW. In this method, load, wind power and exchanged electricity are modelled as time dependent clusters and hourly reliability indices of the system are calculated based on the hourly values of these clusters.…”
Section: Reliability Assessmentmentioning
confidence: 99%
“…Multistate generator [1], negative load [2], clustered model [3] and probabilistic model [4] are some of these methods. In this work, a time dependent clustering technique [5] is applied to model wind power. This method models wind output, load and exchanged power as time dependent clusters to keep the correlation between them and capture their time dependent features.…”
Section: Introductionmentioning
confidence: 99%
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“…However, solar radiation, wind velocity and wind direction are unpredictable and change rapidly based on the variations of environmental conditions [9][10][11][12][13]. Therefore, an individual power conditioning for each of the individual system is required to operate the interconnected renewable systems more efficiently.…”
Section: Introductionmentioning
confidence: 99%
“…In this regard, a number of probabilistic and analytical approaches have been established in recent years [57,58]. Researchers are continuously working to develop improved methods to estimate the reliability contributions of wind resources.…”
Section: Reliability Contributionsmentioning
confidence: 99%