Power distribution network renewable energy bearing capacity analysis method based on nonparametric probability prediction
The invention discloses a power distribution network renewable energy bearing capacity analysis method based on non-parametric probability prediction, and the method comprises the steps: setting a confidence level based on a wind power and photovoltaic output non-parametric probability prediction re...
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| creator | YE JICHAO WU MENGKAI XU FEIFEI WU XINHUA WANG XIAOTANG ZHANG HANBING SHI JINPING YE SHANGXING XU WENJUN WEN HONGJUN QIU YI |
| description | The invention discloses a power distribution network renewable energy bearing capacity analysis method based on non-parametric probability prediction, and the method comprises the steps: setting a confidence level based on a wind power and photovoltaic output non-parametric probability prediction result, and selecting a wind power and photovoltaic output interval; with maximization of the renewable energy access capacity as a target, constraint conditions are set, and a power distribution network renewable energy bearing capacity analysis model is constructed; and on the basis of interval possibility degree analysis, the power distribution network renewable energy bearing capacity analysis model is subjected to deterministic conversion, the maximum renewable energy bearing capacity is obtained, and power distribution network operation is optimized. According to the technical scheme, the renewable energy bearing capacity of the power distribution network can be accurately analyzed by constructing the renewable |
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| subjects | CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ELECTRICITY GENERATION SYSTEMS FOR STORING ELECTRIC ENERGY |
| title | Power distribution network renewable energy bearing capacity analysis method based on nonparametric probability prediction |
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