{"title":"Aggregate Operation Method of Adjustable Power Domain for Technical Virtual Power Plant Based on Cost-Benefit Analysis","authors":"Haibo Zhang, Yunfei Chu, Huilai Chen","doi":"10.1049/gtd2.70113","DOIUrl":null,"url":null,"abstract":"<p>Technical virtual power plant (TVPP) must calculate and represent the flexibilities of all distributed energy resources (DERs) in a concise and compact form so as to provide various ancillary services to power systems more efficiently. This paper chooses adjustable power domain (APD) to represent the flexibilities of all DERs. In particular, it also analyses the influence of multiple uncertainties on TVPP's economy during the aggregation process of APD. Firstly, the generator-like model is selected to quantify the aggregate flexibility of TVPP, and the model parameters are solved quickly by equivalent linear programming problems. Secondly, the uncertainties from renewable energy's power supply and power system's dispatching instruction are modelled using probability distribution and confidence interval, respectively. Thirdly, after accounting for the influence from multiple uncertainties on TVPP's APD, this paper establishes the two-stage robust aggregate operation model based on cost-benefit analysis, which is solved by a column-and-constraint generation (C&CG) algorithm. Finally, an example is given to verify the effectiveness of the proposed aggregate operation method on ensuring flexibility, reliability and economy of TVPP.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70113","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Generation Transmission & Distribution","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/gtd2.70113","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Technical virtual power plant (TVPP) must calculate and represent the flexibilities of all distributed energy resources (DERs) in a concise and compact form so as to provide various ancillary services to power systems more efficiently. This paper chooses adjustable power domain (APD) to represent the flexibilities of all DERs. In particular, it also analyses the influence of multiple uncertainties on TVPP's economy during the aggregation process of APD. Firstly, the generator-like model is selected to quantify the aggregate flexibility of TVPP, and the model parameters are solved quickly by equivalent linear programming problems. Secondly, the uncertainties from renewable energy's power supply and power system's dispatching instruction are modelled using probability distribution and confidence interval, respectively. Thirdly, after accounting for the influence from multiple uncertainties on TVPP's APD, this paper establishes the two-stage robust aggregate operation model based on cost-benefit analysis, which is solved by a column-and-constraint generation (C&CG) algorithm. Finally, an example is given to verify the effectiveness of the proposed aggregate operation method on ensuring flexibility, reliability and economy of TVPP.
期刊介绍:
IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix.
The scope of IET Generation, Transmission & Distribution includes the following:
Design of transmission and distribution systems
Operation and control of power generation
Power system management, planning and economics
Power system operation, protection and control
Power system measurement and modelling
Computer applications and computational intelligence in power flexible AC or DC transmission systems
Special Issues. Current Call for papers:
Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf