<  Back to the Polytechnique Montréal portal

Prevision and planning for residential agents in a transactive energy environment

David Toquica, Kodjo Agbossou, Nilson Henao, Roland P. Malhamé, Sousso Kelouwani and Fatima Amara

Article (2021)

Open Acess document in PolyPublie and at official publisher
Open Access to the full text of this document
Published Version
Terms of Use: Creative Commons Attribution Non-commercial No Derivatives
Download (1MB)
Show abstract
Hide abstract


Transactive Energy (TE) has brought exciting opportunities for all stakeholders in energy markets by enabling management decentralization. This new paradigm empowers demand-side agents to play a more active role through coordinating, cooperating, and negotiating with other agents. Nevertheless, most of these agents are not used to process market signals and develop optimal strategies, especially in the residential sector. Accordingly, it is indispensable to create tools that automate and facilitate demand-side participation in TE systems. This paper presents a new methodology for residential automated agents to perform two key tasks: prevision and planning. Specifically, the proposed method is applied to a forward market where agents' planning is a fundamental step to maintain the dynamic balance between demand and generation. Since planning depends on future demand, agents' prevision of consumption is an inevitable part of this step. The procedures for automating the targeted tasks are developed in a general way for residential prosumers and consumers, interacting at the distribution level. These players are managed by a demand aggregator as the leader by means of the Stackelberg game. The suggested process results in a TE setup for multi-stage single-side auctions, useful to manage future Smart Energy Markets. Through simulated transactions, this paper examines the market clearing mechanism and the convenience of agents' planning. The results show that customers with higher price-elasticity leverage lower costs periods. However, they make it harder to reduce the peak-to-average ratio of the aggregated demand profile since a unique price signal can create prisoner's dilemma conditions.

Uncontrolled Keywords

Agents interaction; Forward market; Multi-agent system; Price-elasticity; Prosumer; Smart energy markets; Stackelberg game; Transactive energy; Utility function

Department: Department of Electrical Engineering
Funders: Natural Sciences and Engineering Research Council of Canada
PolyPublie URL: https://publications.polymtl.ca/54296/
Journal Title: Smart energy (vol. 2)
Publisher: Elsevier BV
DOI: 10.1016/j.segy.2021.100019
Official URL: https://doi.org/10.1016/j.segy.2021.100019
Date Deposited: 13 Nov 2023 10:03
Last Modified: 05 Apr 2024 15:24
Cite in APA 7: Toquica, D., Agbossou, K., Henao, N., Malhamé, R. P., Kelouwani, S., & Amara, F. (2021). Prevision and planning for residential agents in a transactive energy environment. Smart energy, 2, 100019 (12 pages). https://doi.org/10.1016/j.segy.2021.100019


Total downloads

Downloads per month in the last year

Origin of downloads


Repository Staff Only

View Item View Item