Economic and low-carbon coordinated configuration for photovoltaic-energy storage-charging station considering uncertainty risk
CSTR:
Author:
Affiliation:

1. State Grid Jibei Electric Power Co., Ltd., Beijing 100053 , China ;2. Electric Power Research Institute, State Grid Jibei Electric Power Co., Ltd., Beijing 100045 , China ;3. Chengde Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Chengde 067400 , China ;4. NARI Technology Nanjing Control System Co., Ltd., Nanjing 211106 , China

Clc Number:

U491.8

Fund Project:

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

    To address the insufficient equipment coordination and inadequate consideration of distribution network conditions and uncertainty risks in the planning of photovoltaic-energy storage-charging stations (PECS), an economic and low-carbon coordinated configuration model for PECS is proposed considering uncertainty risks. A coordinated planning model is established by incorporating power prices and low-carbon demand response, PECS daily operation status and distribution network power flow constraints. Based on typical scenarios generated by K-means clustering, conditional value-at-risk is employed to quantify the PECS risk costs from photovoltaic output and charging load uncertainties. The constructed model is reformulated via product linearization and second-order conic relaxation into a unified model for accurate solution by commercial solvers. Simulation results verify that the proposed model improves the planning economy of the PECS, meets the high-efficiency and low-carbon demands of the distribution network operation, and balances economic costs, environmental benefits and risk costs.

    Reference
    Related
    Cited by
Get Citation

薄博,赵志宇,常牧涵,赵海初,戴敏.考虑不确定性风险的光储充一体化站经济低碳协同配置[J].电力需求侧管理英文版,2026,28(4):101-108.

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 08,2026
  • Revised:May 10,2026
  • Adopted:
  • Online: July 20,2026
  • Published:
Article QR Code