Fault Recovery Strategy for Power–Communication Coupled Distribution Network Considering Uncertainty
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- Ouyang, Tinghui & Zha, Xiaoming & Qin, Liang & He, Yusen & Tang, Zhenhao, 2019. "Prediction of wind power ramp events based on residual correction," Renewable Energy, Elsevier, vol. 136(C), pages 781-792.
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Keywords
distribution network; fault recovery; power–communication coupling; uncertainty processing; stochastic model predictive control;All these keywords.
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