Impact of Demand Response Technique on Hybrid Transmission expansion planning and Reactive Power planning

Bibliographic Details
Title: Impact of Demand Response Technique on Hybrid Transmission expansion planning and Reactive Power planning
Authors: S. Ghaderi, H. Shayeghi, Y. Hashemi
Source: Journal of Operation and Automation in Power Engineering, Vol 9, Iss 1, Pp 1-10 (2021)
Publisher Information: University of Mohaghegh Ardabili, 2021.
Publication Year: 2021
Collection: LCC:Electrical engineering. Electronics. Nuclear engineering
LCC:Production of electric energy or power. Powerplants. Central stations
Subject Terms: demand response, transmission expansion planning, reactive expansion planning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
More Details: In this paper, a model for hybrid transmission expansion planning (TEP) and reactive power planning (RPP) considering demand response (DR) model has been presented. In this study RPP considered by TEP for its effects on lines capacity and reduction of system expansion costs. On the other hand the expansion of the transmission system is an important subject, especially dealing with the new issues of smart networks like as demand response. Demand response program can change the network expansion planning by shifting elasticity loads and reducing of peak load to improve conditions and decrease the costs. To combine demand response model into the transmission expansion planning and reactive power planning, nonlinear mixed integer meta-heuristic optimization algorithm is used. To evaluate the impact of the proposed expansion planning, this model is exerted to the 30-bus test system. Simulation outcomes display the proposed technique considering demand response model reduces the overall cost of the hybrid TEP-RPP.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2322-4576
Relation: http://joape.uma.ac.ir/article_777_078d98112095dc4de79cd89d67017fb3.pdf; https://doaj.org/toc/2322-4576
DOI: 10.22098/joape.2021.4089.1318;
Access URL: https://doaj.org/article/5745983a5dee4090997546e706eb03fd
Accession Number: edsdoj.5745983a5dee4090997546e706eb03fd
Database: Directory of Open Access Journals
More Details
ISSN:23224576
DOI:10.22098/joape.2021.4089.1318;
Published in:Journal of Operation and Automation in Power Engineering
Language:English