Study On The Technical And Economic Evaluation Of Power Grid Planning

Economic evaluation is an important component of power network planning program, and a significant measure which can make the decision of power construction project more scientific and democratic, reducing and avoiding mistakes, and enhance economic benefits of the construction project.Considering the economic evaluation of construction project and integrating the characteristic of power grid, it can construct the evaluation system combing power grid technology indicators, economic indicators, evaluation of the national economy indicators and so on. Because of the difference of margin financing in the construction of power grid program, the advance evaluation of power grid program economy can be further divided into two distinct assessment and optimal choice which are limited construction fund and unlimited construction fund in different construction condition, and then using the constrained linear programming model to simulate. Therefore, the more comprehensive and objective evaluation result, the broader scope of application and the more universal system and method can be formed to establish the basic and exploit the thought for the power network program and economic evaluation of the further research.The period of power item is long, which involving many factors. But through the simulation modeling of the evaluation objects, the system dynamics can consider and evaluate various factors of the objects comprehensively and dynamic. Additionally, the paper analyzes the factors which have influence on the evaluation of power grid planning and related evaluation indexes. With these factors and the casuality among them, system dynamics evaluation model of power grid planning, made up by technical evaluation subsystem, financial evaluation subsystem and economic evaluation subsystem, is built in the end of this chapter.At the end of the paper, an example of power grid planning is simulated and comprehensive evaluation of simulation results is made. The results are more accurate and the evaluation conclusion is made and the feasibility of the model is proved.