In this research, a bidding problem for a wind-power plant participating in a day-ahead power market with uncertain correlated market prices is studied. A new robust optimization approach considering correlation among uncertainty on the hourly prices in a day-ahead market is developed. This results in solutions with lower level of over-conservatism. For this purpose a new correlated polyhedral uncertainty set is introduced. To consider the uncertainty of market clearing prices and the value of power produced by wind power producer a bidding algorithm is developed. Results of the study using a robust modelling the bidding problem reveal that the appliance of the proposed model on the bidding problem for a price-taker wind power plant in a day-ahead market with uncertain correlated data leads to solutions with superior performance than that of the conventional polyhedral uncertainty sets.
Daneshvari, H. and Shafaei, R. (2025). A New Robust Bidding Approach for Wind Power Producers Participating in Competitive Power Markets with Correlated Market Prices. Scientia Iranica, (), -. doi: 10.24200/sci.2022.57750.5400
MLA
Daneshvari, H. , and Shafaei, R. . "A New Robust Bidding Approach for Wind Power Producers Participating in Competitive Power Markets with Correlated Market Prices", Scientia Iranica, , , 2025, -. doi: 10.24200/sci.2022.57750.5400
HARVARD
Daneshvari, H., Shafaei, R. (2025). 'A New Robust Bidding Approach for Wind Power Producers Participating in Competitive Power Markets with Correlated Market Prices', Scientia Iranica, (), pp. -. doi: 10.24200/sci.2022.57750.5400
CHICAGO
H. Daneshvari and R. Shafaei, "A New Robust Bidding Approach for Wind Power Producers Participating in Competitive Power Markets with Correlated Market Prices," Scientia Iranica, (2025): -, doi: 10.24200/sci.2022.57750.5400
VANCOUVER
Daneshvari, H., Shafaei, R. A New Robust Bidding Approach for Wind Power Producers Participating in Competitive Power Markets with Correlated Market Prices. Scientia Iranica, 2025; (): -. doi: 10.24200/sci.2022.57750.5400