@inproceedings{7dcb6c6bb90f47c2a70b53469ae80d9a,
title = "Recourse-based BCD Robust Integrated Bidding Strategy for Multi-energy Systems under Uncertainties of Load and Energy Prices",
abstract = "This study proposes a recourse-based robust integrated bidding strategy for multi-energy systems under uncertainties of load and energy prices. A tri-level min-max-min robust problem is developed which is solved through a column-and-constraint (C C) generation technique to recast the min-max-min problem into a min master problem and a max-min sub-problem. Unlike previous conventional dual-based robust models which solved the max-min sub-problem by duality theory, this study employs block-coordinate decent (BCD) technique to solve it, using first-order Taylor series approximation of the sub-problem. The benefit of such approach is that the bidding binary variables can be obtained in the sub-problem as recourse decisions after uncertainty realizations which results in considerably more practical and realistic bidding solutions. This was not applicable in previous dual-based robust models due to the lack of tractability of a dualized mixed-integer model. Another advantage is that the linearization of the dualized inner problem is avoided as Lagrange multipliers are eliminated in this study which results in a more moderate computational time. In addition, it is possible to consider different buying/selling bids for the model as bidding binary variables are modeled in the sub-problem. A comprehensive case study as well as a post-event analysis are developed for an energy hub to illustrate the optimal bidding decisions and compare the effectiveness of the proposed model with conventional dual-based models. ",
keywords = "bidding strategy, block coordinate decent method, energy hub system, linear programing, robust optimization, uncertainty",
author = "Mehrdad Aghamohamadi and Amin Mahmoudi and Ward, {John K.} and Megan Sleep and Haque, {Mohammed H.}",
year = "2021",
month = oct,
doi = "10.1109/ECCE47101.2021.9595428",
language = "English",
series = "2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "739--744",
booktitle = "2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings",
address = "United States",
note = "13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 ; Conference date: 10-10-2021 Through 14-10-2021",
}