2021
DOI: 10.1016/j.energy.2021.120476
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Day-ahead optimal bidding of microgrids considering uncertainties of price and renewable energy resources

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Cited by 37 publications
(7 citation statements)
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References 32 publications
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“…Citation information: DOI 10.1109/OAJPE.2022.3206495 irradiance and wind speed) and CVaR. Authors of [19] considered different variables and uncertainties, though DRPs and reactive power are not considered. Some of the reviewed papers added reactive power to MGs bidding strategy; for instance, in [20] arbitrage strategy of virtual power plants in coupled energy, reactive, and spinning reserve markets is modeled by considering power systems reliability and MGs profit.…”
Section: B Literature Reviewmentioning
confidence: 99%
See 2 more Smart Citations
“…Citation information: DOI 10.1109/OAJPE.2022.3206495 irradiance and wind speed) and CVaR. Authors of [19] considered different variables and uncertainties, though DRPs and reactive power are not considered. Some of the reviewed papers added reactive power to MGs bidding strategy; for instance, in [20] arbitrage strategy of virtual power plants in coupled energy, reactive, and spinning reserve markets is modeled by considering power systems reliability and MGs profit.…”
Section: B Literature Reviewmentioning
confidence: 99%
“…In current work, Beta and Weibull PDFs are suggested to cover uncertainties of solar radiation and wind speed. This PDFs are presented in [25], [19], [38], [39]. The output power of PV is described in [19], [25], [ 29] and the output power of WT is represented in [19], [ 25], [38], [39].…”
Section: Expected Payment Function (Epf)mentioning
confidence: 99%
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“…The strategic units' participation in DWM was addressed in [25] considering high wind power penetration with stochastic scenarios. The bidding curve of microgrids in ancillary service market is addressed in [26] utilizing real-world data. A bidding strategy approach has been proposed by [27] for a price-maker MESO that has the objective of maximizing profit in the presence of other MESs.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The model employs a modified energy bidding strategy to achieve a profitable energy storage participation in the market by means of utilizing determined energy and flexible ramp up and down values. The optimal stochastic bidding strategy for an MG in joint energy and ancillary service (comprising regulation up and down, spinning and non‐spinning reserve) markets is modelled in [17]. Besides, the conditional value at risk is employed to control the risk of the bidding strategy.…”
Section: Introductionmentioning
confidence: 99%