考虑风电场有功控制能力的最优调度

Wei Wang, Guogang Jin, Ying Wang, Yanping Xu, Kaifeng Zhang
{"title":"考虑风电场有功控制能力的最优调度","authors":"Wei Wang, Guogang Jin, Ying Wang, Yanping Xu, Kaifeng Zhang","doi":"10.1109/IMCCC.2013.327","DOIUrl":null,"url":null,"abstract":"Wind power plants have ability to control the wind power output within a certain range. Considering the ability of active power control of wind farms, the wind power forecast will be more accurate. In this paper, a statistical model for wind power forecast distribution considering the wind farm active control is established. Then, based on the wind forecast error model proposed, an optimal dispatch model is formulated. An improved particle swarm optimization (PSO) algorithm is proposed to solve this problem. The case study shows that considering the ability of wind power control, the reserve requirement will be reduced and the operation cost will be decreased.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Dispatch Considering the Ability of Active Power Control of Wind Farms\",\"authors\":\"Wei Wang, Guogang Jin, Ying Wang, Yanping Xu, Kaifeng Zhang\",\"doi\":\"10.1109/IMCCC.2013.327\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wind power plants have ability to control the wind power output within a certain range. Considering the ability of active power control of wind farms, the wind power forecast will be more accurate. In this paper, a statistical model for wind power forecast distribution considering the wind farm active control is established. Then, based on the wind forecast error model proposed, an optimal dispatch model is formulated. An improved particle swarm optimization (PSO) algorithm is proposed to solve this problem. The case study shows that considering the ability of wind power control, the reserve requirement will be reduced and the operation cost will be decreased.\",\"PeriodicalId\":360796,\"journal\":{\"name\":\"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMCCC.2013.327\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2013.327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

风力发电厂具有将风力输出控制在一定范围内的能力。考虑到风电场的有功控制能力,风电预测将更加准确。本文建立了考虑风电场主动控制的风电功率预测分布统计模型。然后,根据提出的风预报误差模型,建立了最优调度模型。针对这一问题,提出了一种改进的粒子群优化算法(PSO)。实例分析表明,考虑风电控制能力,可以降低备用需求,降低运行成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Dispatch Considering the Ability of Active Power Control of Wind Farms
Wind power plants have ability to control the wind power output within a certain range. Considering the ability of active power control of wind farms, the wind power forecast will be more accurate. In this paper, a statistical model for wind power forecast distribution considering the wind farm active control is established. Then, based on the wind forecast error model proposed, an optimal dispatch model is formulated. An improved particle swarm optimization (PSO) algorithm is proposed to solve this problem. The case study shows that considering the ability of wind power control, the reserve requirement will be reduced and the operation cost will be decreased.
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
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信