4.6 Article Proceedings Paper

A Priority Decision Making Based Bidding Strategy for Interactive Aggregators

Journal

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Volume 54, Issue 6, Pages 5569-5578

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2018.2814984

Keywords

Aggregators; bilevel optimization; decision making; power market; renewable integration

Funding

  1. National Natural Science Foundation of China [51577115, U1766207]

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This paper proposes an interactive bidding strategy for smart distribution networks with clustered aggregators to effectively coordinate the energy and profit of each entity. In the proposed one-leader n-follower bidding model, there are two levels, where the upper level stands for the distribution operator (DO) to secure the operation quality and bid with energy aggregators (EAs), and the lower level represents each EA to bid for interactive energies with the DO and other EAs. The proposed interactive bidding mechanism takes advantages of both renewable generation and energy storage system into account, where the priority-based decision making is applied to the lower level to elaborately map the bidding mechanism and lead each EA's market interaction. Case studies on the IEEE 33-bus test feeder and a practical distribution grid in China demonstrate the effectiveness of the proposed methodology.

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