Game Approaches for joint peak shaving planning in industrial park distribution networks

Thumbnail Image

Files

CIRED 2019 - 2008.pdf (814.39 KB)

Paper number

2008

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Liu, Yuquan, Guangzhou Power Supply, China
Xiong, Wen , Guangzhou Power Supply, China
Wang, Li, Guangzhou Power Supply, China
Cai, Ying, Guangzhou Power Supply, China
Zeng, Shunqi, Guangzhou Power Supply, China
Yu, Zhiwen, Guangzhou Power Supply, China
Hu, Xiao, Shanghai Jiao Tong University, China

Abstract

The industrial park (IP) possesses a great potential for peak shaving as a relatively independent large-scale distribution unit. In this paper, game theory is introduced to model the joint planning of energy storage systems (ESS) and renewable energy systems (RES). A non-cooperative game-theoretic models is built by taking the power supply company, consumers and independent operators as the three players and their life cycle income as payoffs. A bi-level optimization model considering both planning and operation is constructed for solving the Nash equilibrium. Finally, the proposed method is verified via a virtual IP in Guangdong province, China and the technical and the economical outputs are presented.

Table of content

Keywords

Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/686
http://dx.doi.org/10.34890/908

ISSN

2032-9644

ISBN

978-2-9602415-0-1