Bilevel load-agent-based distributed coordination decision strategy for aggregators

Hongbin Wu, Jingjie Wang, Junhua Lu, Ming Ding, Lei Wang, Bin Hu, Ming Sun and Xianjun Qi

Energy, 2022, vol. 240, issue C

Abstract: This paper addresses the risk faced by load aggregators (LAs) participating in a demand response (DR), owing to the response uncertainty, and proposes a load-agent-based bilevel distributed coordination decision-making strategy for LAs considering response uncertainty. DR uncertainty models of reducible and transferable loads are established based on the evidence theory. The agent DR uncertainty model is established through individual user DR characteristic clustering. The conditional value at risk is used as a measure of risk, and a two-hierarchical-decision model of the LA is established. The model is decoupled by introducing decoupling variables and is solved using the analytical target cascading method, owing to the coupling relationship of the bilayer decision model. The results of the example show that the computing time of the distributed scheduling method proposed in this paper is 91.54 % shorter than that of the centralized scheduling method. Compared with the traditional distributed scheduling strategy, under the condition of comparable computing efficiency, the risk cost expectations of LAs is lower after clustering processing. The proposed model can reasonably evaluate uncertain events in the DR and realize decentralized coordination optimization between the upper and lower layers of decision-making, which helps LAs to effectively improve the decision-making efficiency.

Keywords: Load aggregator; Demand response; Uncertainty; Bilevel distributed decision-making; Analytical target cascading method (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221027547
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:240:y:2022:i:c:s0360544221027547

DOI: 10.1016/j.energy.2021.122505

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().