Optimization planning method of multi-region and multi-type renewable energy generation considering source-load matching
CSTR:
Author:
Affiliation:

Clc Number:

TM61

Fund Project:

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

    The rational utilization of the complementarity between new energy sources can smooth out the fluctuation of their power output,and the consideration of complementarity in new energy planning can make the new energy planning layout more rational. Based on this,the paper considers the complementarity of new energy outputs and investigates the optimal planning method of new energy system taking into account the source-load matching. The positive correlation between new energy output and load is utilized to maintain the dynamic balance between new energy output and load. Firstly,based on the idea of source-load matching,an equalization index describing the degree of closeness between the new energy output and the load,and a consistency index describing the degree of positive correlation between the new energy output and the baseline load output are proposed. Then,a multi-region new energy optimization planning model considering the source-load matching is established,and a constraint on the equilibrium degree of the new energy output and the load matching is introduced to ensure the consistency of the change characteristics of the two. Finally,a case study is conducted to analyze the power grids of four regions in the northern part of China. The results show that the new energy optimization planning considering the source-load matching can consider the new energy consumption rate and penetration rate comprehensively,and provide a solution for the new energy planning layout considering the complementarity of new energy output.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 13,2024
  • Revised:May 19,2024
  • Adopted:May 19,2023
  • Online: July 23,2024
  • Published: July 28,2024
Article QR Code