2020
DOI: 10.1049/iet-rpg.2020.0249
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Hybrid uncertainty‐based offering strategy for virtual power plants

Abstract: This study proposes an optimal day-ahead (DA) electricity market offering model for a virtual power plant (VPP) formed by a mix of renewable distributed energy resources along with energy storage, such as electric vehicles. Two sources of uncertainty are considered, namely, wind power generation, modelled by an uncertainty set, and DA market price, modelled by scenarios. Opposite to classical robust optimisation approaches, the authors model maps minimal (worst-case) profits to a conservativeness parameter, wh… Show more

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Cited by 19 publications
(6 citation statements)
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References 37 publications
(52 reference statements)
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“…Unlike in the study of Loukatou et al [7] , in which energy storage was set to be represented in the control variables, energy storage was involved herein to ensure that power generators can make electricity sales decisions, and that the energy storage cost is set as a deterministic variable. Building upon references [37] , [38] , [39] from the literature, we developed a virtual power plant model that acts both as a producer and a retailer. This model needs to be a price taker, where electricity can only be sold at the market price.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Unlike in the study of Loukatou et al [7] , in which energy storage was set to be represented in the control variables, energy storage was involved herein to ensure that power generators can make electricity sales decisions, and that the energy storage cost is set as a deterministic variable. Building upon references [37] , [38] , [39] from the literature, we developed a virtual power plant model that acts both as a producer and a retailer. This model needs to be a price taker, where electricity can only be sold at the market price.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For instance, conventional approaches, such as scenario-based approaches are not practical to address uncertainties that lack a proper set of historical data. Besides, in the scenario-based approaches [5], [16], [20], [23], the scenarios with a high probability of occurrences are selected, mostly neglecting extreme and infrequent situations. To address this issue, it is possible to increase the number of scenarios with the side effect of the complexity and extra computational burden.…”
Section: B Proposed Approach and Paper Contributionsmentioning
confidence: 99%
“…). By utilizing auxiliary continues variables γ z,i,k and presenting a set of linear constraints in (43), each term of this multiplication can be linearized too. Since we are looking for maximization of γ z,i,k variables, then the proposed linearization form in (43) will be valid.…”
Section: Objective Functionmentioning
confidence: 99%