Article(id=1222925293690544666, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222925278838513745, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221654, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1660147200000, receivedDateStr=2022-08-11, revisedDate=1664208000000, revisedDateStr=2022-09-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1769497710868, onlineDateStr=2026-01-27, pubDate=1677254400000, pubDateStr=2023-02-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769497710868, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769497710868, creator=13701087609, updateTime=1769497710868, updator=13701087609, issue=Issue{id=1222925278838513745, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='2', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769497707328, creator=13701087609, updateTime=1769497707328, updator=13701087609, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=79, endPage=82, ext={EN=ArticleExt(id=1222925293967368755, articleId=1222925293690544666, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Study on Site Selection of Upper and Lower Reservoirs of Pumped Storage Power Station Based on Satellite Remote Sensing Terrain Data, columnId=1222925280734335368, journalTitle=Water Resources and Power, columnName=DAM SAFETY AND MONITORING, runingTitle=null, highlight=null, articleAbstract=
Pumped storage power station is the most mature large-scale energy storage tool in power systems. Because of its flexible peak and frequency modulation performance, it plays an important role in the novel power systems with new energy as the main body. The selection of upper and lower reservoirs is the key factor to determine its energy storage capacity and investment benefit in the process of site selection of pumped storage power station. However, the traditional site selection method of manual site investigation has the problems of heavy workload, low efficiency and easy leakage. In this paper, a method for site selection of upper and lower reservoirs of pumped storage power station based on satellite remote sensing terrain data was proposed, and experimental verification was carried out by Jinyun pumped storage power station in Zhejiang Province. The results show that the possible upper and lower reservoir construction areas within the target area can be efficiently screened out by using satellite remote sensing terrain data and computational intelligence techniques, which greatly improves the efficiency of site selection and shows the great application potential of satellite remote sensing in site selection of pumped storage power station.
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抽水蓄能电站是目前电力系统中最为成熟的大规模储能工具,具有灵活的调峰、调频性能,在以新能源为主体的新型电力系统中具有重要的作用。在抽水蓄能电站选址过程中,上下水库的选择是决定其蓄能能力和投资效益的关键因素,针对传统的人工现场勘察选址方法存在工作量大、效率低和容易漏点等问题,提出了一种基于卫星遥感地形数据的抽水蓄能电站上下水库选址方法,并通过浙江省缙云抽水蓄能电站进行试验验证。结果表明,该方法利用卫星遥感地形数据和计算智能技术可高效筛选出目标区域内可能的上下水库建设区域,极大提高了选址工作的效率,显示出卫星遥感在抽水蓄能电站选址中具有巨大的应用潜力。
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, authorsList=费香泽, 顾克, 刘佳龙, 张琰)}, authors=[Author(id=1222925294508434022, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1222925293690544666, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=fxz@epri.sgcc.com.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1222925294621680234, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1222925293690544666, authorId=1222925294508434022, language=EN, stringName=Xiang-ze FEI, firstName=Xiang-ze, middleName=null, lastName=FEI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=China Electric Power Research Institute Co Ltd, Beijing 100192, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1222925294734926448, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1222925293690544666, authorId=1222925294508434022, language=CN, stringName=费香泽, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=中国电力科学研究院有限公司,北京 100192, bio={"content":"
费香泽(1977-),男,硕士、高级工程师,研究方向为电力卫星遥感与水工结构安全监测,E-mail:fxz@epri.sgcc.com.cn
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费香泽(1977-),男,硕士、高级工程师,研究方向为电力卫星遥感与水工结构安全监测,E-mail:fxz@epri.sgcc.com.cn
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