A Dynamic Yardstick Evaluation Approach for Assessing Development and Production Management Status of Grass-roots Distribution Utilities

Abstract

Under the pressure of power system reform, it is of great significance to study a system and scientific evaluation model of grid development and production management (GDPM) status for effective supervision and competition promotion. Firstly, a hierarchical analysis of indices is incorporated in the overall objective, the criteria layer, and the indicator layer. The “input-output” indicators under each criterion are used to characterize the GDPM level of the distribution enterprises (DE). Secondly, the fuzzy analytic hierarchy process (FAHP) and cluster analysis is adopted in the criteria layer to construct a combined weight judgment model. Then, for the indicators below each criteria layer, the data development cross-analysis (DECA) method is used to calculate the efficiency evaluation value corresponding to each criterion. Finally, the information entropy and the time degree theory are introduced to construct the dynamic weight vector for establishing the dynamic yardstick evaluation model. Taking county DE as the research objects, the research results provide a scientific and accurate management reference for supervisors as well as managers of power enterprises for decision making, which verifies the versatility and practicability of the proposed method.