Universität zu Köln

Shafie-Khah, Miadreza, Talari, Saber, Wang, Fei and Catalao, Joao P. S. ORCID: 0000-0002-2105-3051 (2020). Decentralised demand response market model based on reinforcement learning. IET Smart Grid, 3 (5). S. 713 - 722. HERTFORD: INST ENGINEERING TECHNOLOGY-IET. ISSN 2515-2947

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Abstract

A new decentralised demand response (DR) model relying on bi-directional communications is developed in this study. In this model, each user is considered as an agent that submits its bids according to the consumption urgency and a set of parameters defined by a reinforcement learning algorithm called Q-learning. The bids are sent to a local DR market, which is responsible for communicating all bids to the wholesale market and the system operator (SO), reporting to the customers after determining the local DR market clearing price. From local markets' viewpoint, the goal is to maximise social welfare. Four DR levels are considered to evaluate the effect of different DR portions in the cost of the electricity purchase. The outcomes are compared with the ones achieved from a centralised approach (aggregation-based model) as well as an uncontrolled method. Numerical studies prove that the proposed decentralised model remarkably drops the electricity cost compare to the uncontrolled method, being nearly as optimal as a centralised approach.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Shafie-Khah, Miadreza UNSPECIFIED UNSPECIFIED UNSPECIFIED Talari, Saber UNSPECIFIED UNSPECIFIED UNSPECIFIED Wang, Fei UNSPECIFIED UNSPECIFIED UNSPECIFIED Catalao, Joao P. S. UNSPECIFIED orcid.org/0000-0002-2105-3051 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-316021
DOI:	10.1049/iet-stg.2019.0129
Journal or Publication Title:	IET Smart Grid
Volume:	3
Number:	5
Page Range:	S. 713 - 722
Date:	2020
Publisher:	INST ENGINEERING TECHNOLOGY-IET
Place of Publication:	HERTFORD
ISSN:	2515-2947
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ALGORITHM; SYSTEM Multiple languages Engineering, Electrical & Electronic Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/31602