Electric Power ›› 2023, Vol. 56 ›› Issue (6): 185-193.DOI: 10.11930/j.issn.1004-9649.202209033

• Technology and Economics • Previous Articles     Next Articles

Effective Asset Operation Efficiency Assessment of Power Grid Enterprises in Context of New Power System

YE Yingjin, LIN Ling, RUAN Di, ZHANG Shiming, LIN Hongyang   

  1. Economic and Technological Research Institute of State Grid Fujian Electric Power Co., Ltd., Fuzhou 350013, China
  • Received:2022-09-09 Revised:2023-03-07 Accepted:2022-12-08 Online:2023-06-23 Published:2023-06-28
  • Supported by:
    This work is supported by Economic and Technological Research Institute of State Grid Fujian Electric Power Co., Ltd. (No.B3130N220015).

Abstract: The accelerated construction of new power system brings challenges to the asset management of power grid enterprises, and the accurate evaluation of asset operation efficiency is the first condition to improve the asset management level of power grid enterprises. Firstly, this paper analyzes the impact of the new power system on the effective asset operation of power grid enterprises, and constructs an input-output index system for the evaluation of the effective asset operation efficiency of power grid enterprises. Secondly, considering that the uncertainty of new energy generation and electricity price subsidy policy will make it difficult for statistical data to accurately reflect the real situation of input-output efficiency of power grid enterprises, this paper modifies the traditional DEA model based on the robust optimization idea and dual theory, and constructs a robust DEA model that takes into account the unexpected output and input-output uncertainty. Finally, 25 power grid enterprises are selected for model application. The results show that the efficiency ranking accuracy of the robust DEA model is 60 percentage points higher than that of the traditional DEA model, which can effectively deal with uncertain environments, achieve the accurate calculation of the effective asset operation efficiency of power grid enterprises in the context of new power system, and provide a decision-making basis for asset management of power grid enterprises.

Key words: asset operation efficiency, new power system, uncertainty, unexpected output, robust DEA model