A survey of distribution reliability measurement practices in the US

Warren, C.A.; Ammon, R.; Welch, Gregory

doi:10.1109/61.736733

Cited by 42 publications

(17 citation statements)

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“…In this regard, many studies have been carried out to investigate the effects of reliability on the system performance [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Effect of Demand Side Management on the Power System Reliability

Daryabad¹

2015

Bulletin EEI

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In electric power systems, the generated power should be equal with the demand and power of network is mainly controlled through generation system. In such operation, the demand is satisfied through changing the generated power and afterward, the safe operation of power system is reached. But IntroductionPower system reliability has always been discussed as an important topic in electric power systems. In this regard, many studies have been carried out to investigate the effects of reliability on the system performance [1-10].Some applications of reliability studies about renewable energies in electric power systems are as follows; Reliability assessment of photovoltaic power systems is presented by [1]. Where, a review of current status and future perspectives is presented. Paper [9] addresses a reliability centered maintenance optimization for power distribution systems. A review on reliability assessment for wind power is presented by [2].In paper [5], an original non-sequential Monte Carlo simulation tool is developed. This tool permits to compute the optimal dispatch of classical (coal, oil, etc.) thermal generation in order to minimize polluting gases (NOx, CO2, etc.) emissions in presence of wind power and under constraints. The proposed solution can be a useful tool for electrical system operators in order to dispatch the polluting thermal units under cost, reliability, emissions, fluctuating wind power and unexpected outages constraints. Some other research works based on the Monte Carlo simulation method have been well reported in [6][7].In paper [11], operating benefits from demand-side load management are evaluated for a Proton Exchange Membrane (PEM) Fuel Cell Power Plant (FCPP). For reliability modeling and evaluation of the PEM FCPP, a state-space generation model for a stand-alone PEM fuel cell that calculates the system availability and the expected energy not supplied (EENS) index has been developed. A systematic technique and detailed computer simulation software for a stand-alone PEM fuel cell station reliability assessment have been built. The suggested technique can be used for practical engineering applications to provide information for standalone FC generating station planning, design, and operation. The simulation results are obtained using the MATLAB software for a 5 kW stand-alone PEM fuel cell that supplies a typical residential house.

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“…In this regard, many studies have been carried out to investigate the effects of reliability on the system performance [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Effect of Demand Side Management on the Power System Reliability

Daryabad¹

2015

Bulletin EEI

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show abstract

“…The difference between the demand forecast and the supply forecast for each simulation provides the probabilistic estimate of supply shortages. References: (Adams 2001;Ball et al 1997;Blazewicz and Walker 2000;Brint et al 1998;Brown and Freeman 2001;Burke;Cardell et al 1998;Chowdhury 1999;Cowart 2001;Donnelly et al 1996;Feibus 1999;Gates 1999;Hadjsaid et al 1999;Hennagir 1997;Hirst and Kirby 1997a;McDermott;Osborn and Kawann 2001;Taylor, Carson W. 1999;Taylor, Tim;Wang and Billinton;Warren 1999) …”

Section: Consumer Electricity Price Protectionmentioning

confidence: 99%

Evaluation Framework and Tools for Distributed Energy Resources

Gumerman¹,

Bharvirkar²,

LaCommare³

et al. 2003

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“…The features that may not be originally included in a package and may therefore be "add-ons" include the following: The distribution reliability analysis routines of many vendors provide predictive reliability calculations for a radial network. The routines use equipment outage frequency and repair time statistics to calculate standard industry customer and system reliability indices [15,16]. The calculation results can be used to evaluate the reliability of a network configuration, a protection scheme, or proposed alternatives.…”

Section: Add-on Modules and Other Featuresmentioning

confidence: 99%

“…The routine uses a database of failure rate and repair time information and displays the results in colored, one-line diagrams based on targets selected by the user thus giving a clear indication of trouble spots in the network. CYMDIST's module provides computation of system indices (i.e., SAIFI, SAIDI, CAIDI, ASAI) [15,16] and customer's indices (i.e., outage frequency and duration). It provides extensive modeling of networks and loads, flexible load models for uniform and spot loads, and a full range of equipment models.…”

Section: Add-on Modules and Other Featuresmentioning

confidence: 99%

Evaluation of Distribution Analysis Software for DER Applications

Staunton¹

2003

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A survey of distribution reliability measurement practices in the US

Cited by 42 publications

References 1 publication

Investigating the Effect of Demand Side Management on the Power System Reliability

Investigating the Effect of Demand Side Management on the Power System Reliability

Evaluation Framework and Tools for Distributed Energy Resources

Evaluation of Distribution Analysis Software for DER Applications

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