Xinyi Zhao, Jun Xie, Qiuyan Zhang, Mingtao Liu, Cuiyu Zhou, Yongtian Jin
{"title":"A Multi-time Scale Rolling Coordinated Scheduling Model for the Wind-Photovoltaic-Hydro Generation System with Cascade Hydropower","authors":"Xinyi Zhao, Jun Xie, Qiuyan Zhang, Mingtao Liu, Cuiyu Zhou, Yongtian Jin","doi":"10.1109/EI256261.2022.10117252","DOIUrl":null,"url":null,"abstract":"Addressing the uncertainties caused by high proportion of new energy connected to the grid as well as improving the level of new energy accommodation has become an urgent problem under the background of new power system. Therefore, aiming at the characteristics that the prediction accuracy of wind, photovoltaic power, and load demand (WPL) is improved with reduced time scales, a multi-time scale rolling coordinated scheduling model for the wind-photovoltaic-hydro (WPH) generation system with cascade hydropower is established. Through the coordination of the day-ahead 24-hour scheduling, the intraday 1-hour scheduling and the real-time 15-minute scheduling, the WPH output can be guaranteed to track the load and promote the accommodation level of new energy. Numerical example shows that the new energy accommodation level is greatly affected by the inflow of cascade hydropower. The proposed multi-time scale rolling coordinated dispatching model can effectively suppress the fluctuation of wind and photovoltaic output and reduce their curtailment, realizing the optimal allocation and full utilization of clean renewable energy consequently.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"604 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EI256261.2022.10117252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Addressing the uncertainties caused by high proportion of new energy connected to the grid as well as improving the level of new energy accommodation has become an urgent problem under the background of new power system. Therefore, aiming at the characteristics that the prediction accuracy of wind, photovoltaic power, and load demand (WPL) is improved with reduced time scales, a multi-time scale rolling coordinated scheduling model for the wind-photovoltaic-hydro (WPH) generation system with cascade hydropower is established. Through the coordination of the day-ahead 24-hour scheduling, the intraday 1-hour scheduling and the real-time 15-minute scheduling, the WPH output can be guaranteed to track the load and promote the accommodation level of new energy. Numerical example shows that the new energy accommodation level is greatly affected by the inflow of cascade hydropower. The proposed multi-time scale rolling coordinated dispatching model can effectively suppress the fluctuation of wind and photovoltaic output and reduce their curtailment, realizing the optimal allocation and full utilization of clean renewable energy consequently.