Wind Power Prediction and Dispatch Strategy Considering Wind-Load Similarity in Strong Wind Scenarios
Author:
Affiliation:
1. China University of Mining and Technology,School of Electrical Engineering,Xuzhou,China
2. District Power Supply Conpany,State Grid Nanjing City Jiangning,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256662/10256687/10257020.pdf?arnumber=10257020
Reference11 articles.
1. Multi-scenario variable time scale optimal scheduling of active distribution network based on model predictive control [Chinese];liu;Electric Power Automation Equipment,2022
2. Model predictive dispatch in electric energy systems with intermittent resources
3. Research on Wind Power Optimal Dispatch Based on Model Predictive Control;lü;2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2),2020
4. Multi-time Scale Active Power Optimal Dispatch in Wind Power Cluster Based on Model Predictive Control [Chinese];lu;Proceedings of the CSEE,2019
5. A hybrid deep learning model and comparison for wind power forecasting considering temporal-spatial feature extraction;hao;Sustainability,0
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