Changping Sun , Xiaodi Zhang , Wei Zhang , Jiahao Liu , Zubing Zou , Leying Li , Cheng Wang
{"title":"Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution","authors":"Changping Sun , Xiaodi Zhang , Wei Zhang , Jiahao Liu , Zubing Zou , Leying Li , Cheng Wang","doi":"10.1016/j.gloei.2024.10.016","DOIUrl":null,"url":null,"abstract":"<div><div>The frequency regulation reserve setting of wind-PV-storage power stations is crucial. However, the existing grid codes set up the station reserve in a static manner, where the synchronous generator characteristics and frequency-step disturbance scenario are considered. Thus, the advantages of flexible regulation of renewable generations are wasted, resulting in excessive curtailment of wind and solar resources. In this study, a method for optimizing the frequency regulation reserve of wind PV storage power stations was developed. Moreover, a station frequency regulation model was constructed, considering the field dynamic response and the coupling between the station and system frequency dynamics. Furthermore, a method for the online evaluation of the station frequency regulation was proposed based on the benchmark governor fitting. This method helps in overcoming the capacity-based reserve static setting. Finally, an optimization model was developed, along with the proposal of the linearized solving algorithm. The field data from the JH4# station in China’s MX power grid was considered for validation. The proposed method achieves a 24.77 % increase in the station income while ensuring the system frequency stability when compared with the grid code-based method.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 433-446"},"PeriodicalIF":1.9000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Energy Interconnection","FirstCategoryId":"1087","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096511725000507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The frequency regulation reserve setting of wind-PV-storage power stations is crucial. However, the existing grid codes set up the station reserve in a static manner, where the synchronous generator characteristics and frequency-step disturbance scenario are considered. Thus, the advantages of flexible regulation of renewable generations are wasted, resulting in excessive curtailment of wind and solar resources. In this study, a method for optimizing the frequency regulation reserve of wind PV storage power stations was developed. Moreover, a station frequency regulation model was constructed, considering the field dynamic response and the coupling between the station and system frequency dynamics. Furthermore, a method for the online evaluation of the station frequency regulation was proposed based on the benchmark governor fitting. This method helps in overcoming the capacity-based reserve static setting. Finally, an optimization model was developed, along with the proposal of the linearized solving algorithm. The field data from the JH4# station in China’s MX power grid was considered for validation. The proposed method achieves a 24.77 % increase in the station income while ensuring the system frequency stability when compared with the grid code-based method.