Evaluating the Magnitude and Duration of Cold Load Pick-up on Residential Distribution Feeders Using Multi-State Load Models
The increased level of demand that is associated with the restoration of service after an outage, Cold Load Pick-Up (CLPU), can be significantly higher than pre-outage levels, even exceeding the normal distribution feeder peak demand. These high levels of demand can delay restoration efforts and in...
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Published in | IEEE transactions on power systems Vol. 31; no. 5; pp. 3765 - 3774 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
01.09.2016
IEEE |
Subjects | |
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Abstract | The increased level of demand that is associated with the restoration of service after an outage, Cold Load Pick-Up (CLPU), can be significantly higher than pre-outage levels, even exceeding the normal distribution feeder peak demand. These high levels of demand can delay restoration efforts and in extreme cases damage equipment. The negative impacts of CLPU can be mitigated with strategies that restore the feeder in sections, minimizing the load current. The challenge for utilities is to manage the current level on critical equipment while minimizing the time to restore service to all customers. Accurately modeling CLPU events is the first step in developing improved restoration strategies that minimize restoration times. This paper presents a new method for evaluating the magnitude of the CLPU peak, and its duration, using multi-state load models. The use of multi-state load models allows for a more accurate representation of the end-use loads that are present on residential distribution feeders. |
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AbstractList | The increased level of demand that is associated with the restoration of service after an outage, Cold Load Pick-Up (CLPU), can be significantly higher than pre-outage levels, even exceeding the normal distribution feeder peak demand. These high levels of demand can delay restoration efforts and in extreme cases damage equipment. The negative impacts of CLPU can be mitigated with strategies that restore the feeder in sections, minimizing the load current. The challenge for utilities is to manage the current level on critical equipment while minimizing the time to restore service to all customers. Accurately modeling CLPU events is the first step in developing improved restoration strategies that minimize restoration times. This paper presents a new method for evaluating the magnitude of the CLPU peak, and its duration, using multi-state load models. The use of multi-state load models allows for a more accurate representation of the end-use loads that are present on residential distribution feeders. |
Author | Schneider, Kevin P Sortomme, Eric Ponder, Leslie Miller, Melanie T Venkata, S S |
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Cites_doi | 10.1109/MPER.1981.5511825 10.1109/TPAS.1979.319340 10.1109/61.311198 10.1109/TPAS.1981.316768 10.1109/TPWRS.2003.821440 10.1155/2014/492320 10.1109/59.14584 10.1109/61.311189 10.1109/61.584335 10.1109/TPWRS.2011.2132154 10.1109/CPRE.2009.4982512 10.1109/TPAS.1982.317158 10.1109/TPWRD.2012.2231967 10.1109/TPAS.1984.318643 |
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SubjectTerms | Customers Delay Demand ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION Feeders Load Restoration Strategy Stress concentration Transaction processing |
Title | Evaluating the Magnitude and Duration of Cold Load Pick-up on Residential Distribution Feeders Using Multi-State Load Models |
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