Show simple item record

AuthorRahman, Md Moktadir
AuthorArefi, Ali
AuthorShafiullah, G. M.
AuthorHettiwatte, Sujeewa
AuthorAzizivahed, Ali
AuthorMuyeen, S. M.
AuthorIslam, Md Rabiul
Available date2023-02-27T06:05:02Z
Publication Date2022-01-01
Publication NameIEEE Access
Identifierhttp://dx.doi.org/10.1109/ACCESS.2022.3204618
CitationRahman, M. M., Arefi, A., Shafiullah, G. M., Hettiwatte, S., Azizivahed, A., Muyeen, S. M., & Islam, M. R. (2022). An Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks. IEEE Access, 10, 96359-96377.‏
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137945133&origin=inward
URIhttp://hdl.handle.net/10576/40409
AbstractThe voltage regulation in distribution networks is one of the major obstacles when increasing the penetration of distributed generators (DGs) such as solar photovoltaics (PV), especially during cloud transients, causing potential stress on network voltage regulations. Residential demand response (DR) is one of the cost-effective solutions for voltage management in distribution networks. However, the main barriers of DR implementation are the complexities of controlling a large number and different types of residential loads, satisfying customers' preferences and providing them fair incentives while identifying the optimum DR implementation locations and sizing as well as cooperating with the existing network equipment for the effective voltage management in the networks. A holistic and practical approach of DR implementation is missing in the literature. This study proposes a dynamic fair incentive mechanism using a multi-scheme load control algorithm for a large number of DR participants coordinating with the existing network equipment for managing voltage at medium voltage (MV) networks. The multi-scheme load control is comprised of short-interval (10-minute) and long-interval (2-hour) DR schemes. The dynamic incentive rates are optimized based on the energy contribution of DR participating consumers, their influence on the network voltage and total power loss improvement. The proposed method minimizes the DR implementation cost and size, fairly incentivizes the consumers participating in the DR and priorities their consumption preferences while reduces the network power losses and DGs' reactive power contributions to effectively manage the voltage in the MV networks. An improved hybrid particle swarm optimization algorithm (IHPSO) is proposed for the load controller to provide fast convergence and robust optimization results. The proposed approach is comprehensively tested using the IEEE 33-bus and IEEE 69-bus networks with several scenarios considering a large number of DR participants coordinated with the DGs and on-load tap changer (OLTC) in the networks.
SponsorThe publication of this article was funded by Qatar National Library.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCloud transients
consumer comfort
distributed generation
distribution networks
dynamic fair incentive
load control
solar photovoltaics
voltage management
TitleAn Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks
TypeArticle
Pagination96359-96377
Volume Number10
dc.accessType Open Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record