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Incentivizing strategy for demand response aggregator considering market entry criterion: A game theoretical approach

Authors
Yu, M.Hong, S.H.Zhang, X.Jiang, J.Huang, X.Wei, M.Wang, K.Liang, W.
Issue Date
Jul-2019
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Customer characteristic; Demand response (DR); Incentivizing strategy; Market entry criterion; Stackelberg game
Citation
IEEE International Conference on Industrial Informatics (INDIN), v.2019-July, pp.1077 - 1082
Indexed
SCOPUS
Journal Title
IEEE International Conference on Industrial Informatics (INDIN)
Volume
2019-July
Start Page
1077
End Page
1082
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/2770
DOI
10.1109/INDIN41052.2019.8972269
ISSN
1935-4576
Abstract
This paper presents a novel incentivizing strategy for a demand response (DR) aggregator to participate in an intra-day market organized by the grid operator (GO). By taking the market entry criterion into consideration, the proposed incentivizing strategy is able to help the aggregator determine the optimal incentive for each customer based on their identified characteristics or preferences. The hierarchical decision making procedure between the aggregator and customers is casted into a Stackelberg game. In accordance, an optimal incentivizing strategy can be ascertained for the aggregator, which further helps the aggregator elicit optimal load reductions from enrolled customers meanwhile maximizing its potential profit. Simulation results show that the proposed incentivizing strategy is effective in helping the aggregator determine optimal incentive for each customer in face of different external factors. © 2019 IEEE.
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COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

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