Research on two-stage allocation optimization technology of power grid operation and maintenance cost input considering asset scale status and efficiency fairness

• Main Authors: Yu Na, Mei Shiyan, Chen Ming, Hou Kai, Chen Chao
• Format: Article
• Language: English
• Published: EDP Sciences 2021-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_01037.pdf

The current complex internal and external situation puts forward higher requirements for the precise investment of funds for power grid companies. This paper proposes a two-stage operation and maintenance cost input optimization allocation technology based on comprehensive evaluation and Gini coefficient adjustment. This technology firstly identifies the influencing factors of operation and maintenance cost input, and combines the result of factor identification to construct an evaluation index system based on asset status and scale attributes. Through comprehensive evaluation and collection of index-related data, it determines the initial distribution coefficients and initial distribution coefficients of related enterprises based on the entropy weight method. Then combined with the principle of Gini coefficient, optimize the initial allocation plan to obtain the final investment allocation quota. This paper conducts empirical analysis with 10 companies as the research object, and the results show that the model can provide theoretical support and method reference for reasonable investment and reasonable decision-making of operation and maintenance costs of power grid companies under the requirements of precise investment management and control.