Research on Fast Estimation Method of Power Grid Engineering Based on Multi-objective Genetic Algorithm

In power grid construction, how to estimate the project cost of transmission line quickly and accurately is not only a core issue of cost management, but also a core issue of auxiliary project decision-making. Due to the following remarkable characteristics of transmission line construction project: its wide range in region, great differences in design conditions and many uncertain factors, these characteristics bring great difficulties to the design, construction and operation of transmission line, and put forward higher requirements; In addition, for the transmission line project itself, due to the strong pertinence of the objectives of the transmission line construction project, the scale of the project can be basically determined according to the requirements of its transmission capacity and voltage level, which also makes its flexibility and variability worse, which brings trouble to the continuity of the whole project, At the same time, it brings some difficulties to the possibility that the project can be recycled. Aiming at the above problems, based on the research results of project cost at home and abroad, drawing lessons from the theoretical basis and practical results of project cost at home and abroad, combined with the corresponding literature, using the theory of fuzzy mathematics, combined with the actual situation of transmission line project, through the characteristic vector of completed transmission line project, and then establish the membership function, Calculate the closeness between the completed project and the project to be built to estimate the project cost of the transmission line project to be built. Finally, according to the principle of closeness, the closeness is sorted according to the descending method from large to small, the first three with the largest closeness are selected as typical projects, and the exponential smoothing method is used to establish the evaluation model, so as to realize the fast and accurate cost estimation of engineering projects.