Optimal Bidding Strategy of an Aggregator Based on Customers' Responsiveness Behaviors Modeling

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Lu, XX (Author) Other; Li, KP (Author) Other; Wang, F (Author) Other; Zhen, Z (Author) Other; Lai, JG (Author) Other; Shafie khah, M (Author) Other; Catalao, JPS (Author) FEUP

Conference proceedings International

Title: IEEE Industry Applications Society Annual Meeting, IAS 2020, Detroit, MI, USA, October 10-16, 2020

Pages: 1-9

2020 IEEE Industry Applications Society Annual Meeting, IAS 2020

10 October 2020 through 16 October 2020

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-00T-GVE

DOI: 10.1109/ias44978.2020.9334893

Abstract (EN): Residential customers account for an indispensable part in the demand response (DR) program for their capability to provide flexibility when the system required. However, their available DR capacity has not been fully comprehended by the aggregator, who needs the information to bid accurately on behalf of the residential customers in the market transaction. To this end, this paper devised an optimal bidding strategy for the aggregator considering the bottom-up responsiveness of residential customers. Firstly, we attempt to establish the customers' responsiveness function in relation to different incentives, during which a home energy management system (HEMS) is introduced to implement load adjustment for electrical appliances. Secondly, the function is applied to the aggregator's decision-making process to formulate the optimal bidding strategy in the day-ahead (DA) market and the optimal scheduling scheme for the energy storage system (ESS) with the aim to maximize its own revenue. Finally, the validity of the proposed method is verified using the dataset from the Pecan Street experiment in Austin. The obtained outcome demonstrates the practical rationality of the proposed method.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9