Abstract
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.
Highlights
Operation and maintenance investment scale is closely related to asset status, asset scale and other factors
Literature [1] combines principal component analysis to quantitatively analyze the factors affecting operation and maintenance investment, and perform regression analysis on grid operation and maintenance costs and principal components; literature [2] combines actual extraction of the main factors affecting distribution network operation and maintenance costs as input variables for the prediction of operation and maintenance investment scale; Literature [3,4] established a distribution network investment distribution model, which realized the reasonable distribution of distribution network funds among different regions; proposed a method of prioritizing distribution network construction projects, and realized the integration of distribution network construction projects
According to the Gini coefficient theory, the reliability improvement level of unit input and the reduction level of power outage time per unit input user are selected as control indicators, and the index values of each enterprise unit are used as the control indicators
Summary
Operation and maintenance investment scale is closely related to asset status, asset scale and other factors. In order to ensure the reasonable allocation of operation and maintenance investment, a scientific decision-making basis must be determined. Literature [5] evaluates and analyzes the investment data over the years, based on The status quo and load growth are estimated for the scale of distribution networks in. Based on the Gini coefficient theory, this paper proposes a two-stage decision-making optimization technology that comprehensively considers the input effect, and weighs the actual conditions of each region in combination with different dimensions such as economy and security for scientific distribution, which is conducive to increasing the cost of grid operation and maintenance Rationality, to ensure the reasonable development of power grid operation and maintenance in. Based on the theory of Gini coefficient, and considering the improvement of unit input reliability and the average time of power failure for users, the basic allocation scale is optimized.
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