Adequacy Assessment of Power System Peak Regulation with Spatio-Temporal Correlation of Wind and Photovoltaic Power

The large-scale grid connection of new energy sources has put the dispatching operation of power system under great pressure. Among them, the peak regulation capacity is the fundamental factor that restricts the power system to accept new energy, so it is significant to study the peak regulation ade...

Full description

Saved in:
Bibliographic Details
Published in2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE) pp. 1085 - 1090
Main Authors Huang, Ruanming, Li, Fan, Wang, Dan, Qiu, Weidong, Zhang, Wenbo, Li, Haoen, Sun, Yiwen, Xing, Haijun
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.05.2023
Subjects
adequacy assessment
Copula theory
Correlation
Monte Carlo methods
new energy generation
peak regulation
Photovoltaic systems
Regulation
Reliability engineering
Reliability theory
spatio-temporal correlation
Uncertainty
Online AccessGet full text

Cover

More Information
Summary:The large-scale grid connection of new energy sources has put the dispatching operation of power system under great pressure. Among them, the peak regulation capacity is the fundamental factor that restricts the power system to accept new energy, so it is significant to study the peak regulation adequacy of the power system. Considering the uncertainty and spatial and temporal correlation of the wind and photovoltaic power output, this paper establishes an output model combined wind and photovoltaic power which is based on Copula theory. Secondly, the peak demand persistence curve is defined, and two indicators named peak-load regulation not enough probability (PRNEP) and peak-load regulation not enough expectation (PRNEE) are proposed using non-sequential Monte Carlo simulation method. Finally, based on the actual historical operation data of a power grid in China, the change of the system peak regulation adequacy indicator under different new energy grid capacity is compared and analyzed to verify the feasibility and effectiveness of the proposed method.
DOI:10.1109/CEEPE58418.2023.10166400