Operation optimization of multi-station integration system based on improved non-dominated sorting genetic algorithm-Ⅱ
CSTR:
Author:
Affiliation:

(1. Nanjing Electric Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210019, China; 2. China Electric Power Research Institute, Nanjing 210003, China)

Clc Number:

Fund Project:

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

    In order to effectively improve the economy of multi-station integration construction, based on ensuring the power supply reliability and new energy consumption of the system, a multi-station integration capacity optimal allocation model with levelized energy cost as the optimization objective is established, and a multi-station integration capacity optimal allocation method considering multiple uncertainties to solve the stochastic optimization model is proposed. The simulation results of multi-station fusion data show the effectiveness of the proposed method and model.

    Reference
    Related
    Cited by
Get Citation

LI Xue, ZHOU Hang, LU Xiaomin, ZHANG Jingchen, TAO Yibin, HU Anping. Operation optimization of multi-station integration system based on improved non-dominated sorting genetic algorithm-Ⅱ[J].,2022,24(5):97-101.

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:June 21,2022
  • Revised:July 31,2022
  • Adopted:
  • Online: September 27,2022
  • Published:
Article QR Code