Stochastic Programming-Based Annual Peak-Regulation Potential Assessing Method for Virtual Power Plants

Symmetry, Год журнала: 2025, Номер 17(5), С. 683 - 683

Опубликована: Апрель 29, 2025

The intervention of distributed loads, propelled by the swift advancement energy sources and escalating demand for diverse load types encompassing electricity cooling within virtual power plants (VPPs), has exerted an influence on symmetry grid. Consequently, a quantitative assessment annual peak-shaving capability VPP is instrumental in mitigating peak-to-valley difference grid, enhancing operational safety reducing grid asymmetry. This paper presents optimization method VPPs, which takes into account renewable uncertainty flexible response. Firstly, wind (WP), photovoltaic (PV) generation, demand-side response (DR) are integrated framework. Uncertainties related to WP PV generation incorporated through scenario deterministic constraints. Secondly, stochastic programming (SP) model established VPP, with objective maximizing peak-regulation effect minimizing loss users. case study results indicate that proposed effectively tackles across new output scenarios accurately assesses potential system. Specifically, proportion decrease during peak hours 18.61%, while increase off-peak 17.92%. degrees users merely 0.209 summer 0.167 winter, respectively.

Язык: Английский

Energy scheduling of renewable integrated system with hydrogen storage in distribution grid including charging and hydrogen stations of eclectic vehicles

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 10, 2025

Язык: Английский