Abstract
With the deepening of power system reform, the precise investment and lean development of power grids have become the focus of power grid enterprises. It is of great significance to carry out evaluation research on the efficiency of input and output of effective assets of power grids. Based on the analysis of the status quo of effective asset evaluation in China’s power grid, this paper combines the model of super-efficient DEA with the analysis of effective asset output efficiency of power grid to construct an evaluation system of effective asset input and output efficiency of power grids, and takes the national power grid as an example for calculation and analysis. This paper objectively evaluates the internal and external factors affecting the efficiency of the effective assets of the grid, and provides quantitative analysis support for the effective asset investment decision of the grid.
Highlights
Since March 2015, the document “Several Opinions on the Further Deepening of the Reform of the Power System (Zhongfa [2015] No 9) has been officially released
The super-efficient DEA model is mainly used in agriculture, science and technology and service industries
This paper will use the super-efficient DEABCC model to analyze the effective assets of the national grid
Summary
Since March 2015, the document “Several Opinions on the Further Deepening of the Reform of the Power System (Zhongfa [2015] No 9) has been officially released. The network DEA [1,2] method is widely used in the field of efficiency evaluation, the application of the super-efficiency DEA model [3,4] is very rare in the field of effective assets of the grid. This paper will use the super-efficient DEABCC model to analyze the effective assets of the national grid. Before the main and auxiliary separations are not in place, the auxiliary services for the production and operation activities of the grid enterprises are still regarded as effective assets. This paper adopts the super-efficient network DEA-BCC input-oriented model because the super-efficient network DEA can refine the efficiency value of the effective unit compared with the traditional model, better distinguish the difference between the effective units, and carry out more in-depth analysis. In the equation (1), n is the number of evaluation units, m and s are respectively the input index and the output index, x is the i-th input of the j-th DMU, and y is the r-th output of the j-th DMU, θ is the super efficiency evaluation value, ε is the non-Archimedes infinitesimal quantity greater than zero, s ,s are the slack and residual variables of input and output respectively, λ is the weight coefficient matrix, x ,y are the original input and output
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