A risk-based framework to optimize distributed generation investment plans considering incentive reliability regulations

Loading...
Thumbnail Image
Paper number
982
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Jooshaki, Mohammad, Sharif University of Technology, Iran Islamic Republic of
Farzin, Hossein, Shahid Chamran University of Ahvaz, Iran Islamic Republic of
Abbaspour, Ali, Sharif University of Technology, Iran Islamic Republic of
Fotuhi-Firuzabad, Mahmud, Sharif University of Technology, Iran Islamic Republic of
Lehtonen, Matti, Aalto University, Finland
Abstract
This paper develops a risk-based framework for maximization of distribution companies’ profit, considering the implementation of incentive reliability regulations. In the proposed framework, various investment alternatives are considered. These alternatives are installation of distributed generation (DG) units as well as reinforcement of the existing feeders. Moreover, an efficient optimization framework based on genetic algorithm (GA) and dynamic programming technique are proposed to solve the introduced model. In order to demonstrate the application of the proposed framework, it is implemented on a test distribution network, and the obtained results are analyzed.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/233
http://dx.doi.org/10.34890/457
ISSN
2032-9644
ISBN
978-2-9602415-0-1