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- W3203022260 abstract "This paper considers a virtual power plant (VPP) that seeks to maximize profit through participation in the day-ahead market and included an information gap decision theory (IGDT) to model price market and renewable generation uncertainties. The IGDT is a non-probabilistic technique that model the uncertainties considering the risk aversion and the opportunity to obtain higher profits under several uncertainties. The proposed method is implemented in a case study in which the contemplated uncertainties are analyzed to determine the most influencing on the expected benefits of the VPP." @default.
- W3203022260 created "2021-10-11" @default.
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- W3203022260 date "2021-06-29" @default.
- W3203022260 modified "2023-09-26" @default.
- W3203022260 title "Bidding Strategy for VPP Incorporating Price Market and Solar Generation Uncertainties using Information Gap Decision Theory" @default.
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- W3203022260 doi "https://doi.org/10.1109/icsmartgrid52357.2021.9551261" @default.
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