Back to Search
Start Over
Optimal Peak Regulation Strategy of Virtual and Thermal Power Plants
- Source :
- Frontiers in Energy Research, Vol 10 (2022)
- Publication Year :
- 2022
- Publisher :
- Frontiers Media S.A., 2022.
-
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.
Details
- Language :
- English
- ISSN :
- 2296598X
- Volume :
- 10
- Database :
- Directory of Open Access Journals
- Journal :
- Frontiers in Energy Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.010426b83ef04f1a9b677b4ac959f01e
- Document Type :
- article
- Full Text :
- https://doi.org/10.3389/fenrg.2022.799557