2017
DOI: 10.3390/su9040491
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Risk Assessment for Distribution Systems Using an Improved PEM-Based Method Considering Wind and Photovoltaic Power Distribution

Abstract: Abstract:The intermittency and variability of permeated distributed generators (DGs) could cause many critical security and economy risks to distribution systems. This paper applied a certain mathematical distribution to imitate the output variability and uncertainty of DGs. Then, four risk indices-EENS (expected energy not supplied), PLC (probability of load curtailment), EFLC (expected frequency of load curtailment), and SI (severity index)-were established to reflect the system risk level of the distributio… Show more

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Cited by 9 publications
(4 citation statements)
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“…The first paper [14] addresses the risk assessment of power distribution systems by considering four major predefined risk indices. As stated by the authors, the intermittency and variability of the distributed generators of a distribution system are the primary sources of risk.…”
Section: Contributionsmentioning
confidence: 99%
“…The first paper [14] addresses the risk assessment of power distribution systems by considering four major predefined risk indices. As stated by the authors, the intermittency and variability of the distributed generators of a distribution system are the primary sources of risk.…”
Section: Contributionsmentioning
confidence: 99%
“…A majority of current PV at military bases are grid-tied, and the majority of the power generated leaves DOD facilities through power purchase agreements. Although, the U.S. military has looked at the impact of improving sustainability with PV [105,106] as well as PV sources for military microgrids [107] and forward operating bases [108], it is still not commonly used as shown in this review. PV is well documented to increase security in a distributed network [109,110], which can be using a security by design [111] method with PV as a power source.…”
Section: Policymentioning
confidence: 99%
“…Traditionally, stochastic methods are used to assess risk in power systems [18]. Such methods have been used recently to determine the risk of disturbances within grids with connected PV sources [19][20][21][22][23][24]. Stochastic methods are suitable due to the stochastic variability of PV generation, which is caused by the unpredictability of weather conditions leading to variable solar irradiance.…”
mentioning
confidence: 99%
“…Severity degrees are commonly used to calculate the risks associated with the operation of PV sources in power systems [19,20,22,23]. We also use this concept in the article.…”
mentioning
confidence: 99%