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Distribution system feeder cold load pickup model
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AI
DOI：10.1016/0378-7796(95)01027-0.png)
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摘要
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In order to maintain a balance between the generation and load during service restoration, it is important to have mathematical models that can predict the load that will be present at Various locations of the system. A regression approach supported by voluminous feeder load measurement data collected during large-scale rotating interruptions is presented in this paper. Regression models are proposed to estimate the feeder and substation cold load pickups after scheduled outages.
Keyword:
cold load pickup
distribution network restoration
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