2023
DOI: 10.3390/en16145498
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Wind Farms and Flexible Loads Contribution in Automatic Generation Control: An Extensive Review and Simulation

Abstract: With the increasing integration of wind energy sources into conventional power systems, the demand for reserve power has risen due to associated forecasting errors. Consequently, developing innovative operating strategies for automatic generation control (AGC) has become crucial. These strategies ensure a real-time balance between load and generation while minimizing the reliance on operating reserves from conventional power plant units. Wind farms exhibit a strong interest in participating in AGC operations, … Show more

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Cited by 12 publications
(7 citation statements)
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“…In [24], the authors proposed distributed learning control for economic power dispatch. A reinforcement learning strategy and consensus strategies were used to address frequency regulation and EDPs in smart grids while preserving the privacy of units.…”
Section: Deterministic Methodsmentioning
confidence: 99%
“…In [24], the authors proposed distributed learning control for economic power dispatch. A reinforcement learning strategy and consensus strategies were used to address frequency regulation and EDPs in smart grids while preserving the privacy of units.…”
Section: Deterministic Methodsmentioning
confidence: 99%
“…AI systems harness the predictive power of wind speeds and irradiance forecasts, enabling them to generate short-term projections of renewable power output within minutes, a remarkable improvement over traditional forecasting spanning several days [6,68]. This capability contributes substantially to bolstering grid stability and streamlining the dispatching process, ultimately optimizing plant availability [69]. Additionally, this advanced technology facilitates the seamless execution of scheduled maintenance activities, ensuring the continuous and efficient operation of renewable energy plants [5,70].…”
Section: Ai Use In Power Output Predictionmentioning
confidence: 99%
“…Over the past decade, extensive research has focused on the vehicle-to-grid (V2G) technology of EVs, driven by their significant potential to provide grid ancillary services actively [6][7][8][9][10][11][12][13]. By adopting the V2G mode, EVs can operate as battery storage systems, enabling bi-directional power flow with the power grid.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, real-time flexibility is ensured using peer-to-peer energy trading. Implementing superior coordination control strategies is vital for the optimal utilization of EVs, leading to substantial reductions in operating costs and carbon emissions [6][7][8].…”
Section: Introductionmentioning
confidence: 99%