电力计划动态评估下可再生能源电站、蓄电池储能和柔性负荷的多时间尺度联合运行方法

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Minghao Cao, Linlin Yu, Dong Ding, Peng Jia, Wenhao Wang, Yiran Cheng
{"title":"电力计划动态评估下可再生能源电站、蓄电池储能和柔性负荷的多时间尺度联合运行方法","authors":"Minghao Cao,&nbsp;Linlin Yu,&nbsp;Dong Ding,&nbsp;Peng Jia,&nbsp;Wenhao Wang,&nbsp;Yiran Cheng","doi":"10.1016/j.ijepes.2025.110642","DOIUrl":null,"url":null,"abstract":"<div><div>In the new power system dominated by renewable energy, the grid flexibility regulation resources are increasingly scarce. Therefore, stricter assessments of the power schedules of renewable energy stations (RES) are required. This approach encourages RES to autonomously use their own battery energy storage systems (BESS) and local flexible loads (LFL) to correct power schedule deviations, thereby reducing the demand for grid flexibility regulation resources from the source. The power distribution of RES on a daily time scale exhibits high volatility, and the accuracy of RES power forecasting is low, leading to fluctuations in the scarcity of the grid flexibility regulation resources at different times. Therefore, the assessment of RES power schedules by the grid should also be dynamic. Traditional RES operation methods struggle to meet the rapidly changing assessment requirements for power schedule deviations. First, this paper establishes a dynamic assessment model for RES power schedules, where the assessment price varies across different time periods and increases with the magnitude of schedule deviations. Then, a joint operation method for RES, co-located BESS, and LFL under the dynamic assessment model is proposed, specifically including the day-ahead generation schedule declaration method and the intra-day execution method. Finally, the value realization forms of LFL and BESS under the dynamic assessment model are clarified. Based on this, evaluation metrics for the operational efficiency of the joint operation entity are established, focusing on comprehensive net profit and profit distribution ratios. The case study shows that the joint operation method for RES, co-located BESS, and LFL proposed in this paper can effectively reduce the assessment fees that RES is required to pay under the dynamic assessment model, while also increasing the total net profit of the joint operation entity. Additionally, it enables a reasonable distribution of the profits that LFL and RES should receive.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"167 ","pages":"Article 110642"},"PeriodicalIF":5.0000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multi-time-scale joint operation method for renewable energy station, battery energy storage and flexible load under dynamic assessment of power schedule\",\"authors\":\"Minghao Cao,&nbsp;Linlin Yu,&nbsp;Dong Ding,&nbsp;Peng Jia,&nbsp;Wenhao Wang,&nbsp;Yiran Cheng\",\"doi\":\"10.1016/j.ijepes.2025.110642\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In the new power system dominated by renewable energy, the grid flexibility regulation resources are increasingly scarce. Therefore, stricter assessments of the power schedules of renewable energy stations (RES) are required. This approach encourages RES to autonomously use their own battery energy storage systems (BESS) and local flexible loads (LFL) to correct power schedule deviations, thereby reducing the demand for grid flexibility regulation resources from the source. The power distribution of RES on a daily time scale exhibits high volatility, and the accuracy of RES power forecasting is low, leading to fluctuations in the scarcity of the grid flexibility regulation resources at different times. Therefore, the assessment of RES power schedules by the grid should also be dynamic. Traditional RES operation methods struggle to meet the rapidly changing assessment requirements for power schedule deviations. First, this paper establishes a dynamic assessment model for RES power schedules, where the assessment price varies across different time periods and increases with the magnitude of schedule deviations. Then, a joint operation method for RES, co-located BESS, and LFL under the dynamic assessment model is proposed, specifically including the day-ahead generation schedule declaration method and the intra-day execution method. Finally, the value realization forms of LFL and BESS under the dynamic assessment model are clarified. Based on this, evaluation metrics for the operational efficiency of the joint operation entity are established, focusing on comprehensive net profit and profit distribution ratios. The case study shows that the joint operation method for RES, co-located BESS, and LFL proposed in this paper can effectively reduce the assessment fees that RES is required to pay under the dynamic assessment model, while also increasing the total net profit of the joint operation entity. Additionally, it enables a reasonable distribution of the profits that LFL and RES should receive.</div></div>\",\"PeriodicalId\":50326,\"journal\":{\"name\":\"International Journal of Electrical Power & Energy Systems\",\"volume\":\"167 \",\"pages\":\"Article 110642\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Electrical Power & Energy Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0142061525001930\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142061525001930","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

在以可再生能源为主的新型电力系统中,电网柔性调节资源日益稀缺。因此,需要对可再生能源电站(RES)的电力计划进行更严格的评估。这种方法鼓励可再生能源自主使用自己的电池储能系统(BESS)和本地灵活负载(LFL)来纠正电力计划偏差,从而从源头上减少对电网灵活调节资源的需求。可再生能源在日时间尺度上的电力分布具有较大的波动性,可再生能源电力预测的准确性较低,导致不同时段电网柔性调节资源的稀缺性出现波动。因此,电网对可再生能源发电计划的评估也应该是动态的。传统的RES操作方法难以满足快速变化的电力计划偏差评估需求。首先,本文建立了可再生能源电力计划的动态评估模型,该模型的评估价格在不同的时间段内变化,并随着计划偏差的大小而增加。在此基础上,提出了动态评估模型下RES、同址BESS和LFL的联合运行方法,具体包括日前发电计划声明方法和日内执行方法。最后,阐明了动态评价模型下LFL和BESS的价值实现形式。在此基础上,建立了联合经营主体经营效率的评价指标,重点关注综合净利润和利润分配比率。案例研究表明,本文提出的RES、同址BESS、LFL联合运营方式,可以有效降低动态评估模型下RES需要支付的评估费用,同时也增加了联合运营主体的总净利润。此外,它可以合理分配LFL和RES应该获得的利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-time-scale joint operation method for renewable energy station, battery energy storage and flexible load under dynamic assessment of power schedule
In the new power system dominated by renewable energy, the grid flexibility regulation resources are increasingly scarce. Therefore, stricter assessments of the power schedules of renewable energy stations (RES) are required. This approach encourages RES to autonomously use their own battery energy storage systems (BESS) and local flexible loads (LFL) to correct power schedule deviations, thereby reducing the demand for grid flexibility regulation resources from the source. The power distribution of RES on a daily time scale exhibits high volatility, and the accuracy of RES power forecasting is low, leading to fluctuations in the scarcity of the grid flexibility regulation resources at different times. Therefore, the assessment of RES power schedules by the grid should also be dynamic. Traditional RES operation methods struggle to meet the rapidly changing assessment requirements for power schedule deviations. First, this paper establishes a dynamic assessment model for RES power schedules, where the assessment price varies across different time periods and increases with the magnitude of schedule deviations. Then, a joint operation method for RES, co-located BESS, and LFL under the dynamic assessment model is proposed, specifically including the day-ahead generation schedule declaration method and the intra-day execution method. Finally, the value realization forms of LFL and BESS under the dynamic assessment model are clarified. Based on this, evaluation metrics for the operational efficiency of the joint operation entity are established, focusing on comprehensive net profit and profit distribution ratios. The case study shows that the joint operation method for RES, co-located BESS, and LFL proposed in this paper can effectively reduce the assessment fees that RES is required to pay under the dynamic assessment model, while also increasing the total net profit of the joint operation entity. Additionally, it enables a reasonable distribution of the profits that LFL and RES should receive.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信