Optimization of power grid business portfolio investment decision based on two-stage mutation differential evolution algorithm
CSTR:
Author:
Affiliation:

( 1. College of Economics and Management, North China Electric Power University, Beijing 102206, China;2. State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102200, China;3. Economic and Technological Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050081, China;4. Institute of Industrial Economics, Chinese Academy of Social Sciences, Beijing 100037, China)

Clc Number:

Fund Project:

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

    The“14th Five-Year Plan”puts forward the development of strategic new industries, accelerating the construction of a modern industrial system of national major strategic deployment.Therefore, power grid enterprises need to expand their emerging business to enhance their own benefits. Firstly, a social network based on investment value evaluation system for emerging businesses in power grids is constructed from social, policy, economic,technological and environmental dimensions, and the CRITIC-sequential relationship analysis integrated weighting method is adopted to combine the advantages of subjective and objective weighting method to set the weights of indicators. Then, an investment decision optimisation model for emerging business portfolios in power grids is constructed with the business portfolio contribution degree as the objective function, and the investment decision optimisation model is based on a two-stage variation. The investment decision optimization model is solved based on a two-stage variational evolutionary algorithm. The applicability of the proposed business portfolio investment decision optimization model and the superiority of the two-stage variational differential evolutionary algorithm are verified through case studies.

    Reference
    Related
    Cited by
Get Citation

王永利,刘 晨,马子奔,许苗苗,王晓辉,徐 楠,王 蕾.基于双阶段变异差分进化算法的电网业务组合投资决策优化[J].电力需求侧管理英文版,2023,25(1):20-26.

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:October 01,2022
  • Revised:November 02,2022
  • Adopted:
  • Online: February 07,2023
  • Published:
Article QR Code