UM  > Faculty of Science and Technology
Residential Collegefalse
Status已發表Published
Real-time Electricity Price Based Integrated Response Model for Prosumers 基于实时电价的产消者综合响应模型
Li,Biao1; Wan,Can1; Zhao,Jian2; Song,Yonghua1,3; Zhang,Ziyang4
2019-04-10
Source PublicationDianli Xitong Zidonghua/Automation of Electric Power Systems
ISSN1000-1026
Volume43Issue:7Pages:81-88
AbstractProsumers, a group of special end-users emerging in recent years, have the dual roles of power supply and consumption with high potential in responding to the real-time market. In order to improve the efficiency of distributed generation and profits of energy supply and consumption, a multi-stage integrated response model is proposed for prosumers based on real-time electricity price. In the stage of pre-optimization, an hourly optimal demand bidding model is established with a comprehensive goal considering the incentive effect on economic, comfort and price of power consumption. With the goal of maximizing the profits of energy supply and considering the factors e.g. storage capacity and charge/discharge power constraints, storage blocking and dead zone, an hourly optimal supply offering model is presented. In the stage of response, an integrated response model is developed based on real-time electricity price and using hourly optimal demand bidding and supply offering information. It is essentially a model alternated by demand response for controllable load and supply response for distributed generation-storage system. Case study shows that the proposed integrated response approach not only notably reduces and shifts load at a high real-time price, but also successfully transfers power supply from low electricity price zones to high electricity price zones, which significantly improves the economics of power supply and consumption.
KeywordDemand response Distributed generation Integrated response Prosumers Real-time electricity price
DOI10.7500/AEPS20180731001
URLView the original
Language中文Chinese
Scopus ID2-s2.0-85066453236
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorWan,Can
Affiliation1.College of Electrical Engineering,Zhejiang University,Hangzhou,310027,China
2.College of Electrical Engineering,Shanghai University of Electric Power,Shanghai,200090,China
3.Department of Electrical and Computer Engineering,University of Macau,Macau,Macao
4.State Grid Zhenjiang Power Supply Company,Zhenjiang,212001,China
Recommended Citation
GB/T 7714
Li,Biao,Wan,Can,Zhao,Jian,等. Real-time Electricity Price Based Integrated Response Model for Prosumers 基于实时电价的产消者综合响应模型[J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019, 43(7), 81-88.
APA Li,Biao., Wan,Can., Zhao,Jian., Song,Yonghua., & Zhang,Ziyang (2019). Real-time Electricity Price Based Integrated Response Model for Prosumers 基于实时电价的产消者综合响应模型. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 43(7), 81-88.
MLA Li,Biao,et al."Real-time Electricity Price Based Integrated Response Model for Prosumers 基于实时电价的产消者综合响应模型".Dianli Xitong Zidonghua/Automation of Electric Power Systems 43.7(2019):81-88.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li,Biao]'s Articles
[Wan,Can]'s Articles
[Zhao,Jian]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li,Biao]'s Articles
[Wan,Can]'s Articles
[Zhao,Jian]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li,Biao]'s Articles
[Wan,Can]'s Articles
[Zhao,Jian]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.