An Investigation of Potential Intermittency Induced Outage Modes for Wind Generation

Yue, Meng; Kang, Sun Wook; Jin, Chunlian; Matevosjana, Julia

doi:10.1109/pmaps.2018.8440220

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…Presently, outages/intermittency of renewable generators are modeled without considering their effect on generation ramping. Ramping can cause significant impacts to the power grid, similar to a generator outage [39]. The concept of Intermittency Induced Outages (IIOs) has been proposed to capture the impact of intermittency.…”

Section: Ver Modeling For Reliability Analysismentioning

confidence: 99%

“…The concept of Intermittency Induced Outages (IIOs) has been proposed to capture the impact of intermittency. Probabilistic outage models for IIOs with loss of generation, under-and overgeneration modes due to wind ramping-down and -up events are presented in [39]. The IIO concept was further extended to the modeling of common mode outages (CMOs) for multiple correlated renewable plants [6].…”

Section: Ver Modeling For Reliability Analysismentioning

confidence: 99%

“…Various stochastic elements have been used in wind speed models. These include the autoregressive (AR) process (perhaps the most common) [27]; birth-and-death Markov train [38]; hybrid of Markov and AR processes [39]; and estimating the stochastic model after applying a Logit transform [41].…”

Section: A Wind Speed Stochastic Modelmentioning

confidence: 99%

“…Approaches for incorporating WT equipment outages have been developed; failure rates may be dependent on wind speed as it has been observed that WT outage rates tend to increase with wind speed [38]. These include: individual WT availability; grouped availability; derated availability; state probability table; capacity outage probability and frequency table (COPAFT); and copula for relationship between wind speed and failure rate [38]- [39], [43]- [45].…”

Section: B Wind Turbine Availability Modelmentioning

confidence: 99%

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Composite Power System Reliability with Renewables and Customer Flexibility

Meliopoulos

Papic²,

Tindemans

et al. 2022

2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

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Composite Power System Reliability is defined as the computational procedure that quantifies the probability that the power system will perform the function of delivering electric power to customers adequately, on a continuous basis and with an acceptable quality. This definition leaves many details undefined and exemplifies the ambiguity in reliability analysis. The increasing deployment of wind and PV creates additional uncertainties that make reliability analysis a rather complex issue. Because of increased uncertainty the need for composite reliability analysis and utilization of results in power system planning is critical. New approaches are emerging for dealing with these problems from the operational point of view, including demand response programs, tapping on customer and distributed resource flexibility and new control approaches. The key question to be addressed is: how the new operational paradigms affect composite power system reliability. This paper presents the ongoing work of the IEEE Composite System Reliability Task Force of the IEEE PES Reliability, Risk, Probability Application (RRPA) Subcommittee.

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Section: Ver Modeling For Reliability Analysismentioning

confidence: 99%

Section: Ver Modeling For Reliability Analysismentioning

confidence: 99%