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Power grid investment optimization method based on simulation investment benefit analysis and learning automatons

A technology for investment benefit and investment optimization, applied in the field of power grid investment optimization based on simulated investment benefit analysis and learning automata, can solve problems that cannot meet the needs of actual power grid investment decision analysis

Inactive Publication Date: 2014-06-25
STATE GRID CORP OF CHINA +3
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AI Technical Summary

Problems solved by technology

In terms of future power grid investment research, according to the development status of the power grid to be studied, the research results on how to propose an appropriate investment decision-making plan cannot meet the needs of actual power grid investment decision-making analysis.

Method used

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  • Power grid investment optimization method based on simulation investment benefit analysis and learning automatons
  • Power grid investment optimization method based on simulation investment benefit analysis and learning automatons
  • Power grid investment optimization method based on simulation investment benefit analysis and learning automatons

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Embodiment Construction

[0068] The present invention is based on the simulation investment benefit analysis and the network investment optimization method of the learning automata, such as figure 1 shown, including the following steps:

[0069] Step 1: Use the gray prediction model based on the GM (1, 1) model to predict the data of power grid development.

[0070] In the step 1, the data that needs to be predicted include: the power supply, electricity sales, original value of fixed assets of the grid, grid investment, 500kV substation capacity, 220kV substation capacity, 110kV substation capacity in the next year. Capacitance, 35kV variable capacity, 10kV variable capacity, average selling price, 500 kV line length (km), 220 kV line length (km), 110 kV line length (km), 35 kV line length ( km), 10 (20) kV line length (km).

[0071] Step 2: Calculate the relevant indicators in the investment benefit index system based on the power grid development data obtained from the data prediction, and then ...

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Abstract

The invention relates to the technical field of electric power system planning, in particular to a power grid investment optimization method based on simulation investment benefit analysis and learning automatons. The method comprises the following steps that first, a grey prediction model is used for conducting data prediction on power grid development data; second, related indexes in an investment benefit index system are calculated according to prediction schemes of various obtained investment data through data prediction for the coming year, and then the simulation investment benefit analysis is carried out to obtain simulation investment comprehensive score results; third, the score results obtained through different schemes are optimized based on a multi-scheme optimization strategy of a learning automaton method, and finally the optimal investment scheme is obtained. The power grid investment optimization method based on the simulation investment benefit analysis and the learning automatons is beneficial to optimizing power grid investment and good in using effect.

Description

technical field [0001] The invention relates to the technical field of electric power system planning, in particular to a power grid investment optimization method based on simulation investment benefit analysis and learning automata. Background technique [0002] With the steady development of my country's national economy and the improvement of people's living standards year by year, the demand for electricity in the whole society is increasing day by day, and the investment scale of the power grid is also increasing. The cumulative total exceeded 1.2 trillion yuan, and the grid investment planned by the State Grid Corporation of China during the "Twelfth Five-Year Plan" period reached an unprecedented 1.7 trillion yuan. As an important infrastructure to ensure the sustainable development of the national economy and society, the development requirements of the power grid determine the need for corresponding investment, but as an operating company, the company also needs to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 李喜兰唐田林章岁邱柳青徐青山
Owner STATE GRID CORP OF CHINA
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