Research On Optimization Models Of Technological Transformation And Maintenance Investment For Primary Equipment Of Power Grid

Economic development cannot be separated from the power of energy,in order to meet the requirements of sustainable development,improve the management level of power enterprises,the life cycle cost management concepts and methods applied to the power enterprise asset management practice has become a reality of international power development.However,in the aspects of grid asset management,investment decision-making and scale forecasting,most power companies still use the traditional investment management mode.The technological transformation or repair of main equipment is mainly based on historical experience.Therefore,it is possible that There is frequent replacement of equipment and technological transformation,did not make full use of and play the value of equipment assets,the equipment from the perspective of the entire life cycle to consider the cost,and ultimately often result in a lot of waste of funds,it is difficult to make future plans to correct the size of technical changes Grasp or predict.In order to make the fixed assets managed by the grid enterprises have the economic life cycle cost,this paper has carried on the research on the optimization of the technical transformation of the main equipment technological transformation in the main network,based on the current research results at home and abroad.This paper constructs a comprehensive and systematic grid life cycle cost model of the main equipment and the optimization model of the investment optimization project of the technical transformation repair project,establishes the forecasting model of the technical transformation and repair investment scale,and adopts the domestic municipal power supply enterprise The main situation and the actual data of the main equipment of the main transformer are the research object,which shows how to make scientific,reasonable,reliable and effective evaluation of the project access and investment forecasting of the main equipment of the main transformer.