Article(id=1223278141888664385, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20222507, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1669737600000, receivedDateStr=2022-11-30, revisedDate=1674489600000, revisedDateStr=2023-01-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1769581836435, onlineDateStr=2026-01-28, pubDate=1698163200000, pubDateStr=2023-10-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769581836435, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769581836435, creator=13701087609, updateTime=1769581836435, updator=13701087609, issue=Issue{id=1223278131956551924, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='10', pageStart='1', pageEnd='228', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769581834067, creator=13701087609, updateTime=1769584342407, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223288652869030422, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223288652869030423, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=180, endPage=184, ext={EN=ArticleExt(id=1223278142727525245, articleId=1223278141888664385, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Research on Full Head Modeling Method of Turbine Based on Real Machine Data, columnId=1222925284869922957, journalTitle=Water Resources and Power, columnName=ELECTROMECHANICS AND CONTROL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

At present, the TV card model of PSD-PBA platform used in power system stability calculation cannot reflect the difference of units under multiple water heads, which is specifically reflected its dynamic response speed and anti-regulation accuracy. Based on the TV card model, an improved scheme is proposed. The water head-opening-power characteristics and power Tw characteristics of the model are obtained by program processing with the early operation data of the hydropower station, and then added to the improved model successively. The results show that the dynamic characteristics of the TV card model do not have the conditions for multi-parameter identification under the power mode primary frequency modulation. Moreover, the accuracy of anti-regulation under different loads is poor. The response characteristics of the improved model accord with the operation law of the real machine and can accommodate the difference of multiple water heads of the unit.

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目前电力系统稳定计算采用的PSD-BPA平台TV卡模型不能反映多水头下机组的差异性,具体表现在动态响应速度和反调准确度上。因此,基于TV卡模型提出了改进方案,即利用电站前期运行数据,通过程序处理获取模型水头-开度-功率特性与功率-Tw特性,依次加入到改进模型中,在功率模式一次调频下与TV卡模型相对比,结果表明TV卡模型动态特性不具备多参数辨识的条件,且不同负荷下反调仿真精确度较差,而改进模型的响应特性符合实机运行规律,能容纳机组多水头的差异性。

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蔡卫江(1970-),男,硕士、教授级高级工程师,研究方向为水轮机控制和调节,E-mail:

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蔡卫江(1970-),男,硕士、教授级高级工程师,研究方向为水轮机控制和调节,E-mail:

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蔡卫江(1970-),男,硕士、教授级高级工程师,研究方向为水轮机控制和调节,E-mail:

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基于实机数据的水轮机全水头建模方法研究
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蔡卫江 1 , 丁钶铖祺 2 , 曹林宁 2
水电能源科学 | 机电与控制工程 2023,41(10): 180-184
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水电能源科学 | 机电与控制工程 2023, 41(10): 180-184
基于实机数据的水轮机全水头建模方法研究
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蔡卫江1 , 丁钶铖祺2, 曹林宁2
作者信息
  • 1.南瑞集团有限公司(国网电力科学研究院),江苏 南京 211106
  • 2.河海大学能源与电气学院,江苏 南京 210098
  • 蔡卫江(1970-),男,硕士、教授级高级工程师,研究方向为水轮机控制和调节,E-mail:

Research on Full Head Modeling Method of Turbine Based on Real Machine Data
Wei-jiang CAI1 , Ke-cheng-qi DING2, Lin-ning CAO2
Affiliations
  • 1.NARI Group Corporation/State Grid Electric Power Research Institute, Nanjing 211106, China
  • 2.College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
出版时间: 2023-10-25 doi: 10.20040/j.cnki.1000-7709.2023.20222507
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目前电力系统稳定计算采用的PSD-BPA平台TV卡模型不能反映多水头下机组的差异性,具体表现在动态响应速度和反调准确度上。因此,基于TV卡模型提出了改进方案,即利用电站前期运行数据,通过程序处理获取模型水头-开度-功率特性与功率-Tw特性,依次加入到改进模型中,在功率模式一次调频下与TV卡模型相对比,结果表明TV卡模型动态特性不具备多参数辨识的条件,且不同负荷下反调仿真精确度较差,而改进模型的响应特性符合实机运行规律,能容纳机组多水头的差异性。

水轮机模型  /  反调  /  全水头  /  多参数辨识  /  水流惯性时间常数

At present, the TV card model of PSD-PBA platform used in power system stability calculation cannot reflect the difference of units under multiple water heads, which is specifically reflected its dynamic response speed and anti-regulation accuracy. Based on the TV card model, an improved scheme is proposed. The water head-opening-power characteristics and power Tw characteristics of the model are obtained by program processing with the early operation data of the hydropower station, and then added to the improved model successively. The results show that the dynamic characteristics of the TV card model do not have the conditions for multi-parameter identification under the power mode primary frequency modulation. Moreover, the accuracy of anti-regulation under different loads is poor. The response characteristics of the improved model accord with the operation law of the real machine and can accommodate the difference of multiple water heads of the unit.

hydraulic turbine model  /  anti-regulation  /  full head  /  multi-parameter identification  /  flow inertia time constant
蔡卫江, 丁钶铖祺, 曹林宁. 基于实机数据的水轮机全水头建模方法研究. 水电能源科学, 2023 , 41 (10) : 180 -184 . DOI: 10.20040/j.cnki.1000-7709.2023.20222507
Wei-jiang CAI, Ke-cheng-qi DING, Lin-ning CAO. Research on Full Head Modeling Method of Turbine Based on Real Machine Data[J]. Water Resources and Power, 2023 , 41 (10) : 180 -184 . DOI: 10.20040/j.cnki.1000-7709.2023.20222507
2023年第41卷第10期
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doi: 10.20040/j.cnki.1000-7709.2023.20222507
  • 接收时间:2022-11-30
  • 首发时间:2026-01-28
  • 出版时间:2023-10-25
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  • 收稿日期:2022-11-30
  • 修回日期:2023-01-24
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    1.南瑞集团有限公司(国网电力科学研究院),江苏 南京 211106
    2.河海大学能源与电气学院,江苏 南京 210098
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2种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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