Analysis of common methods for intermittent renewable energy consumption assessment
Author:
Affiliation:

Clc Number:

TM721

Fund Project:

Local capacity building project of Shanghai Science and Technology Commission (12250501000); Shanghai Education Commission boost plan (12ZT11)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    With the improvement of China's energy demand and environmental protection awareness,the installed capacity of green energy represented by intermittent renewable energy such as wind power and photovoltaics is visible in the upward trend. Large-scale intermittent renewable energy consumption is affected by many factors such as power supply,grid and load. In order to improve the development and utilization rate of renewable energy,appropriate consumption assessment methods should be used to analyze the consumption situation. The analytical method reflects the essence of the intermittent renewable energy consumption problem. The mathematical model of the analytical method is clarified firstly,and the method is assessed in combination with the application of the analytical method. Then,the principle and application of the time series production simulation method and the probabilistic production simulation method are sorted out. These two methods are based on the principle of the analytical method,and they are respectively proposed for the insufficient consideration of the time series characteristics and probabilistic characteristics of intermittent renewable energy consumption during modeling. Although the application of these two methods still has their own limitations,compared with the analytical method,the solution accuracy of the two methods has been greatly improved. Finally,combined with the existing technology,the future research on the assessment method of intermittent renewable energy consumption is prospected,which provides a reference for the modeling,application and improvement of the assessment method.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 07,2022
  • Revised:June 21,2022
  • Adopted:October 11,2021
  • Online: September 21,2022
  • Published: September 28,2022