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• W4293065107 abstract "To achieve the national carbon-peak and carbon-neutral strategic development goals, it is necessary to build power systems dominated by renewable and sustainable energy. The future power system with a high proportion of renewable and sustainable energy is required to have large-scale, low-cost, flexible, and adjustable resources. To this end, this article aggregates user-side distributed energy storage and electric vehicles into a virtual power plant, considering the uncertainty of wind power fluctuations and the uncertainty of electric vehicle charging and discharging to establish a day-ahead and intra-day peak regulation model for combined peak regulation of virtual and thermal power plants. The bounding algorithm seeks the optimal strategy for the two-stage model of joint peak regulation and obtains the day-ahead and intra-day two-stage optimal peak regulation strategy. The simulation example shows that the virtual power plant and its day-ahead and intra-day optimal peak regulation strategy can reduce the peak regulation cost of the power system, as compared with the deep peak regulation of thermal power plants with a special supporting energy storage power station. This work provides a global perspective for virtual power plants to participate in the formulation of power system peak regulation rules." @default.
• W4293065107 created "2022-08-26" @default.
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• W4293065107 date "2022-05-24" @default.
• W4293065107 modified "2023-09-27" @default.
• W4293065107 title "Optimal Peak Regulation Strategy of Virtual and Thermal Power Plants" @default.
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• W4293065107 doi "https://doi.org/10.3389/fenrg.2022.799557" @default.
• W4293065107 hasPublicationYear "2022" @default.
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