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

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CIRED 2019 - 982.pdf (459.84 KB)

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.

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Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

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