A frequency and duration method for generating system reliability evaluation

Ayoub, A. K.; Patton, A.D.

doi:10.1109/t-pas.1976.32294

Cited by 49 publications

(18 citation statements)

References 4 publications

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“…Note that LSD recognizes the true contagion property of the occurrences in a clump; such as a breakdown at a given time adversely affects and engenders more failures in the forthcoming hours until the failures are repaired [3,5,9,13]. These necessary parameters of compound Poisson distribution are obtained from the popular frequency and duration method pioneered by Hall, Ringlee, and Wood in 1968, later to be followed by Patton in 1970 and1976 [6,9] and documented by Billinton et al [14][15][16][17]. These necessary parameters of compound Poisson distribution are obtained from the popular frequency and duration method pioneered by Hall, Ringlee, and Wood in 1968, later to be followed by Patton in 1970 and1976 [6,9] and documented by Billinton et al [14][15][16][17].…”

Section: History Of Theoretical Developments On Cloud Modelingmentioning

confidence: 99%

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Cloud Computing in Cyber‐Risk

Sahinoǧlu

2016

Cyber‐Risk Informatics

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Section: History Of Theoretical Developments On Cloud Modelingmentioning

confidence: 99%

“…The LoS events are assumed to occur in terms of clusters or multiple happenings [7,11,12]. The LoS events are assumed to occur in terms of clusters or multiple happenings [7,11,12].…”

Section: History Of Theoretical Developments On Cloud Modelingmentioning

confidence: 99%

Cloud Computing in Cyber‐Risk

Sahinoǧlu

2016

Cyber‐Risk Informatics

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“…Units are added sequentially to produce the final generation system model capacity outage probability table (COPT) as described in [16,17] via a recursive algorithm, which can cater for two-state (with no derated states) and multi-state (considering derated states). Applying the RBTS generation data with 245MW installed conventional generation capacity; the COPT can be computed with all other states omitted, where cumulative probability is less than a 10 -8 .…”

Section: A Generation System Modellingmentioning

confidence: 99%

Reliability evaluation of electric power systems with solar photovoltaic & energy storage

Koh

Wang

Tseng

et al. 2014

2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

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Renewable portfolio standards (RPS) place an obligation on independent service operators (ISOs) to have a minimum energy generation mix from an approved renewable energy source, e.g. photovoltaic (PV). The variability of PV power output impacts on electric power system reliability and energy storage (ES) is one of several options for better grid reliability. This paper convolves Roy Billinton Test System (RBTS) generation and load model, considering PV and ES to yield system adequacy indices at hierarchical level 1 (HL1) via an analytical technique. Uniform Singapore Energy Price (USEP) from the Energy Market Company (EMC) Singapore and NTU rooftop PV irradiance data are incorporated as parts of annual electricity cost saving research. The analytical technique proposed can help ISOs as first cut analysis to evaluate the potential of PV & ES to benefit system reliability and ways to improve its potential applications.Index Terms-power system reliability, energy storage, energy management, photovoltaic

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“…If all the time units are considering in the proposed method, the cost of turbine start-up is 5 8.17011 10 $, exactly equal to one in FD method. Similarly, both of the frequency of generator start-up of unit capacity is 11.183.…”

Section: B Dynamic Costs and Relevant Evaluationmentioning

confidence: 99%

“…The technique used for integrating the start-up costs of the units is the Frequency and Duration (FD) approach [5][6][7][8][9][10]. The FD method can be considered as a combination of the ELDC methods and the load frequency curve that retains some details of the time-dependent behavior of system load.…”

Section: Introductionmentioning

confidence: 99%

Power system probabilistic production simulation based on equivalent interval frequency distribution including wind farms

Jin

Xie

Wang

et al. 2014

2014 International Conference on Power System Technology

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In probabilistic production simulation, the assessment of dynamic costs associated with thermal plant start-up, reserve and peak regulation is usually evaluated by the frequency and duration method (FD). This method employs the load frequency curve which only describes certain of load fluctuation frequency information, resulting in the factor that the dynamic costs of start-up and shut-down in short time interval is included into the whole production costing assessment as well. A certain deviation is existed in the result. With the increasing penetration of non-dispatchable technologies, such as the wind power, more impact will be produced by the growing fluctuation of net load. In order to reflect more chronological load characteristics, the load frequency curve is extended to the interval frequency distribution and interval frequency distribution series in this paper, which involves both the frequency information and timing distribution of load fluctuation. Based on the equivalent interval frequency distribution series (EIFDs), a new probabilistic production costing algorithm was proposed to get a more reasonable assessment of dynamic costs. The case studies were carried out on an EPRI-36 unit system, and results verified the effectiveness of the proposed method.

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A frequency and duration method for generating system reliability evaluation

Cited by 49 publications

References 4 publications

Cloud Computing in Cyber‐Risk

Cloud Computing in Cyber‐Risk

Reliability evaluation of electric power systems with solar photovoltaic & energy storage

Power system probabilistic production simulation based on equivalent interval frequency distribution including wind farms

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A frequency and duration method for generating system reliability evaluation

Cited by 49 publications

References 4 publications

Cloud Computing in Cyber‐Risk

Cloud Computing in Cyber‐Risk

Reliability evaluation of electric power systems with solar photovoltaic &amp; energy storage

Power system probabilistic production simulation based on equivalent interval frequency distribution including wind farms

Contact Info

Product

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Reliability evaluation of electric power systems with solar photovoltaic & energy storage