Article(id=1322506722640507518, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1322506677417521478, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.2.178, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1680710400000, receivedDateStr=2023-04-06, revisedDate=1685116800000, revisedDateStr=2023-05-27, acceptedDate=1689523200000, acceptedDateStr=2023-07-17, onlineDate=1793239773663, onlineDateStr=2026-10-29, pubDate=1772208000000, pubDateStr=2026-02-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793239773663, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793239773663, creator=13701087609, updateTime=1793239773663, updator=13701087609, issue=Issue{id=1322506677417521478, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='2', pageStart='1', pageEnd='342', issueExtLink='null', onlineDate='null', pubDate='1772208000000', pubDateStr='2026-02-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793239762882, creator='13701087609', updateTime=1793239762882, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=178, endPage=187, ext={EN=ArticleExt(id=1322506723001217663, articleId=1322506722640507518, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Load Frequency Predictive Control of Interconnected Power System with Virtual Power Plant, columnId=1321491706692878600, journalTitle=Journal of Power Supply, columnName=Power Electronic Dominated Power Systems, runingTitle=null, highlight=null, articleAbstract=

The goal of avirtual power plant (VPP) is to aggregate and use a large number of distributed generations (DGs) with tiny capacities. A load frequency control (LFC) model for the secondary frequency regulation of thermal power units is constructed with the time-segmented participation of a VPP that aggregates energy storage, electric vehicles and wind turbines, and a kind of centralized automatic generation control strategy with VPP is proposed. The frequency modulation model for aggregated resources in the VPP is analyzed, the constraints on each frequency modulation link are taken into account, and the minimization of frequency modulation costs and area control erroris taken as an objective. Meanwhile, model predictive control is used to optimize the allocation of power output from DGs within the VPP. The proposed LFC model for a two-region power system is simulated using MATLAB/Simulink, and the frequency error and power deviation of the tie line are compared before and after the VPP takes part in the system frequency modulation. According to the simulation results, it is found that the multi-region LFC with participation of VPP can reduce frequency disturbances and power deviation of the tie line brought by power fluctuations, and the proposed control strategy can achieve the optimal allocation of active output. Comparison with the conventional PID regulation, this strategy also has better control outcomes.

, authors=Jiale HE1, Chao JIANG1, Zhenglong SUN1, Levron YOASH2, authorsList=Jiale HE, Chao JIANG, Zhenglong SUN, Levron YOASH, authorCompany=null, correspAuthors=Chao JIANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322506723450008194, articleId=1322506722640507518, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=含虚拟电厂的互联电力系统负荷频率预测控制, columnId=1321491706852262154, journalTitle=电源学报, columnName=电力电子化电力系统, runingTitle=null, highlight=null, articleAbstract=

虚拟电厂VPP(virtual power plant)旨在将容量小、数量大的分布式电源DGs(distributed generations)聚合利用。构建了聚合储能、电动汽车及风机的VPP分段参与火电机组二次调频的负荷频率控制LFC(load frequency control)模型,提出1种包含VPP的集中式自动发电控制策略。解析了虚拟电厂聚合资源的调频模型,考虑各调频环节的约束限制,以最低调频成本及区域控制偏差最小为目标,利用模型预测控制优化分配虚拟电厂内部DGs的功率输出。利用MATLAB/Simulink对所提2区域电力系统的LFC模型进行仿真,比较在虚拟电厂参与系统调频前后的频率误差及联络线功率偏差,仿真结果表明,虚拟电厂参与下多区域LFC可以减轻功率波动所带来的频率扰动及联络线功率偏差,所提控制策略能够实现有功出力优化分配,相较于传统PID调节具有更好的控制效果。

, authors=何家乐中国电源学会会员1, 姜超1, 孙正龙1, Levron YOASH2, authorsList=何家乐中国电源学会会员, 姜超, 孙正龙, Levron YOASH, authorCompany=null, correspAuthors=姜超, authorNote=

何家乐(1999— ),男,中国电源学会会员,硕士研究生。研究方向:新能源电力系统稳定与控制研究。E-mail:。

孙正龙(1988— ),男,博士,副教授。研究方向:新能源电力系统稳定与控制,电力信息物理系统。E-mail:。

Yoash Levron(1978— ),男,博士,副教授。研究方向:电力系统,电力电子。E-mail:。

, correspAuthorsNote=
姜超(1994— ),男,通信作者,博士,助教。研究方向:新能源系统频率稳定研究。E-mail:。
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何家乐(1999— ),男,中国电源学会会员,硕士研究生。研究方向:新能源电力系统稳定与控制研究。E-mail:。

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何家乐(1999— ),男,中国电源学会会员,硕士研究生。研究方向:新能源电力系统稳定与控制研究。E-mail:。

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孙正龙(1988— ),男,博士,副教授。研究方向:新能源电力系统稳定与控制,电力信息物理系统。E-mail:。

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孙正龙(1988— ),男,博士,副教授。研究方向:新能源电力系统稳定与控制,电力信息物理系统。E-mail:。

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Yoash Levron(1978— ),男,博士,副教授。研究方向:电力系统,电力电子。E-mail:。

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Yoash Levron(1978— ),男,博士,副教授。研究方向:电力系统,电力电子。E-mail:。

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含虚拟电厂的互联电力系统负荷频率预测控制
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何家乐中国电源学会会员 1 , 姜超 1 , 孙正龙 1 , Levron YOASH 2
电源学报 | 电力电子化电力系统 2026,24(2): 178-187
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电源学报 |电力电子化电力系统 2026 , 24 (2) : 178 -187
含虚拟电厂的互联电力系统负荷频率预测控制
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孙正龙(1988— ),男,博士,副教授。研究方向:新能源电力系统稳定与控制,电力信息物理系统。E-mail:。

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孙正龙(1988— ),男,博士,副教授。研究方向:新能源电力系统稳定与控制,电力信息物理系统。E-mail:。

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Yoash Levron(1978— ),男,博士,副教授。研究方向:电力系统,电力电子。E-mail:。

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何家乐中国电源学会会员1 , 姜超1 , 孙正龙1 , Levron YOASH2
作者信息
  • 1.东北电力大学现代电力系统仿真控制与绿色电能新技术教育部重点实验室,吉林 132012
  • 2.以色列理工学院电气工程系,海法 3200003
通讯作者:
姜超(1994— ),男,通信作者,博士,助教。研究方向:新能源系统频率稳定研究。E-mail:。
作者简介:

何家乐(1999— ),男,中国电源学会会员,硕士研究生。研究方向:新能源电力系统稳定与控制研究。E-mail:。

孙正龙(1988— ),男,博士,副教授。研究方向:新能源电力系统稳定与控制,电力信息物理系统。E-mail:。

Yoash Levron(1978— ),男,博士,副教授。研究方向:电力系统,电力电子。E-mail:。

Load Frequency Predictive Control of Interconnected Power System with Virtual Power Plant
Jiale HE Member, CPSS1 , Chao JIANG1 , Zhenglong SUN1 , Levron YOASH2
Affiliations
  • 1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China
  • 2.The Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion (Israel Institute of Technology), Haifa 3200003, Israel
出版时间: 2026-02-28 doi: 10.13234/j.issn.2095-2805.2026.2.178
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虚拟电厂VPP(virtual power plant)旨在将容量小、数量大的分布式电源DGs(distributed generations)聚合利用。构建了聚合储能、电动汽车及风机的VPP分段参与火电机组二次调频的负荷频率控制LFC(load frequency control)模型,提出1种包含VPP的集中式自动发电控制策略。解析了虚拟电厂聚合资源的调频模型,考虑各调频环节的约束限制,以最低调频成本及区域控制偏差最小为目标,利用模型预测控制优化分配虚拟电厂内部DGs的功率输出。利用MATLAB/Simulink对所提2区域电力系统的LFC模型进行仿真,比较在虚拟电厂参与系统调频前后的频率误差及联络线功率偏差,仿真结果表明,虚拟电厂参与下多区域LFC可以减轻功率波动所带来的频率扰动及联络线功率偏差,所提控制策略能够实现有功出力优化分配,相较于传统PID调节具有更好的控制效果。

虚拟电厂  /  负荷频率控制  /  分布式电源  /  模型预测控制

The goal of avirtual power plant (VPP) is to aggregate and use a large number of distributed generations (DGs) with tiny capacities. A load frequency control (LFC) model for the secondary frequency regulation of thermal power units is constructed with the time-segmented participation of a VPP that aggregates energy storage, electric vehicles and wind turbines, and a kind of centralized automatic generation control strategy with VPP is proposed. The frequency modulation model for aggregated resources in the VPP is analyzed, the constraints on each frequency modulation link are taken into account, and the minimization of frequency modulation costs and area control erroris taken as an objective. Meanwhile, model predictive control is used to optimize the allocation of power output from DGs within the VPP. The proposed LFC model for a two-region power system is simulated using MATLAB/Simulink, and the frequency error and power deviation of the tie line are compared before and after the VPP takes part in the system frequency modulation. According to the simulation results, it is found that the multi-region LFC with participation of VPP can reduce frequency disturbances and power deviation of the tie line brought by power fluctuations, and the proposed control strategy can achieve the optimal allocation of active output. Comparison with the conventional PID regulation, this strategy also has better control outcomes.

Virtual power plant (VPP)  /  load frequency control (LFC)  /  distributed generation (DG)  /  model predictive control
何家乐中国电源学会会员, 姜超, 孙正龙, Levron YOASH. 含虚拟电厂的互联电力系统负荷频率预测控制. 电源学报, 2026 , 24 (2) : 178 -187 . DOI: 10.13234/j.issn.2095-2805.2026.2.178
Jiale HE, Chao JIANG, Zhenglong SUN, Levron YOASH. Load Frequency Predictive Control of Interconnected Power System with Virtual Power Plant[J]. Journal of Power Supply, 2026 , 24 (2) : 178 -187 . DOI: 10.13234/j.issn.2095-2805.2026.2.178
  • 吉林省国际科技合作资助项目(20230402074GH)
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2026年第24卷第2期
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doi: 10.13234/j.issn.2095-2805.2026.2.178
  • 接收时间:2023-04-06
  • 首发时间:2026-10-29
  • 出版时间:2026-02-28
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出版历史
  • 收稿日期:2023-04-06
  • 修回日期:2023-05-27
  • 录用日期:2023-07-17
基金
International Science and Technology Cooperation Project of Jilin Province(20230402074GH)
吉林省国际科技合作资助项目(20230402074GH)
作者信息
    1.东北电力大学现代电力系统仿真控制与绿色电能新技术教育部重点实验室,吉林 132012
    2.以色列理工学院电气工程系,海法 3200003

通讯作者:

姜超(1994— ),男,通信作者,博士,助教。研究方向:新能源系统频率稳定研究。E-mail:。
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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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