Method for predicting investment for power transmission and transformation projects for power grids on basis of particle swarm algorithms

A particle swarm algorithm and prediction method technology, applied in the field of electric power engineering, can solve problems such as the inability to quickly and effectively guide the cost, affect the enthusiasm and creativity of investors and managers, and achieve the effect of reducing the influence of subjective factors

Inactive Publication Date: 2017-05-31
ECONOMIC TECH RES INST OF STATE GRID ANHUI ELECTRIC POWER
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  • Abstract
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Problems solved by technology

Especially for a new project, without comprehensive collection of project information, it is impossible to give qu

Method used

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Embodiment Construction

[0017] The prediction method of the present invention comprises:

[0018] (1) Analysis of key indicators of power transmission and transformation project cost investment forecast

[0019] Detailed analysis of the development of power transmission and transformation projects, the principle of cost investment forecasting of power transmission and transformation projects, through the comparative analysis of literature, excavate the advantages and disadvantages of power transmission and transformation project cost investment forecasting, and summarize the influencing factors of power transmission and transformation project cost investment forecasting, Including the external environment, market factors and project construction scale;

[0020] In order to more scientifically explore the applicability of key indicators of power transmission and transformation project investment prediction in the present invention, the present invention uses mathematical statistical tools such as prin...

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Abstract

The invention discloses a method for predicting investment for power transmission and transformation projects for power grids on the basis of particle swarm algorithms. The method includes analyzing key indexes for predicting the investment for construction costs for the power transmission and transformation projects; analyzing unit projects of the power transmission and transformation projects; analyzing systems for predicting the investment for the power transmission and transformation projects. The method has the advantages that investors can accurately master conditions of the construction costs of the new construction projects in initial construction periods, review staffs can reasonably and quickly review conditions of construction costs for specific initial design schemes, accordingly, influence of subjective factors in construction cost management procedures can be reduced, and the purpose of providing bases for investment decision making can be achieved; the key indexes which can affect prediction of the investment for the power transmission and transformation projects start to be determined from decision making phases of the power transmission and transformation projects, historical project data are mined, the key unit projects of the power transmission and transformation projects are determined, the systems for predicting the investment for the power transmission and transformation projects are constructed by the aid of the particle swarm algorithms, and accordingly theoretical bases can provided for controlling the construction costs for the power transmission and transformation projects and reasonably planning the investment for the projects by all levels of competent departments and related units for the power grids.

Description

technical field [0001] The invention relates to a particle swarm algorithm-based investment forecasting method for power transmission and transformation projects, belonging to the technical field of electric power engineering. Background technique [0002] The power industry is a capital-intensive industry, and power engineering construction is also a complex system engineering. How to reasonably control the project cost under the premise of ensuring the construction period and project quality is an eternal theme in power infrastructure construction. In recent years, the cost of electric power projects has risen rapidly, and it is very difficult to raise funds. The level of project cost management has become the key to the rapid development of electric power construction. Power engineering design is a general design, and there is little room for design proposals. There are some problems, such as: construction standards and design styles are not uniform; there are many types ...

Claims

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Application Information

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IPC IPC(8): G06Q40/06G06Q10/04G06Q50/06
CPCG06Q10/04G06Q40/06G06Q50/06Y02E40/70Y04S10/50
Inventor 李涛朱晓虎刘士李李建青刘丽殷敏陈付雷沈思方天睿王道静姚兰波
Owner ECONOMIC TECH RES INST OF STATE GRID ANHUI ELECTRIC POWER
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