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Market bidding strategy of the microgrids considering demand response and energy storage potential flexibilities

Nezamabadi, Hossein; Vahidinasab, Vahid

Authors

Hossein Nezamabadi



Abstract

Volatile impact of intermittent renewable energy sources (RESs) on the one hand and the uncertainties of loads and market prices, on the other hand, make the bidding strategy of microgrids (MGs) too risky and high-computational problem. To cope with these challenges, the bidding problem of MGs based on a three-stage hybrid stochastic/interval optimisation (HSIO) is devised in this study, which provides a trade-off between covering the volatilities by means of the MG potential flexibilities resources or by means of the energy provision from the real-time market (RTM). To tackle the uncertainties of the day-ahead market prices, the cost-effective stochastic programming (SP) is applied to maximise the profit of MG in the day-ahead stage of decision-making. In order to handle the volatilities of RESs production and uncertainties of RTM prices, a flexibility scheme based on the robust and low-computational interval optimisation (IO) approach is designed to minimise the balancing cost of MG in the real-time stages. Comprehensive numerical results are provided to compare the effectiveness, robustness, and computational complexity of the proposed model. Results show that the HSIO model takes advantage of the cost-effective solution from the SP model, and the robust solution with computational simplicity from the IO model.

Journal Article Type Article
Online Publication Date Mar 28, 2019
Publication Date 2019-04
Deposit Date Mar 6, 2025
Journal IET Generation, Transmission & Distribution
Print ISSN 1751-8687
Electronic ISSN 1751-8695
Publisher Wiley Open Access
Peer Reviewed Peer Reviewed
Volume 13
Issue 8
Pages 1346-1357
DOI https://doi.org/10.1049/iet-gtd.2018.6097