@inproceedings{b01b1b15186d46d6bb21907852327e79,
title = "A priority decision making-based bidding strategy for interactive aggregators",
abstract = "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 bi-level 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. An innovative interactive bidding mechanism is developed to take advantages of renewable generation and energy storage system (ESS). The priority-based decision making is applied to the lower level to elaborately map the bidding mechanism and lead each EA's market interaction. The proposed model is solved by a customized hierarchical genetic algorithm (HGA). Case studies on a practical distribution grid in China and the IEEE 33-bus test feeder demonstrate the effectiveness of the proposed methodology.",
keywords = "Aggregators, Decision making, Hierarchical genetic algorithm, Power market, Renewable integration",
author = "Tianguang Lu and Lee, {Wei Jen} and Qian Ai and Songtao Lu",
year = "2017",
month = nov,
day = "8",
doi = "10.1109/IAS.2017.8101707",
language = "English (US)",
series = "2017 IEEE Industry Applications Society Annual Meeting, IAS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--8",
booktitle = "2017 IEEE Industry Applications Society Annual Meeting, IAS 2017",
note = "2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 ; Conference date: 01-10-2017 Through 05-10-2017",
}