Research on Multi-factorial Investment Decision of Distribution Network Based on Input-output Assessment and Genetic Algorithm

Abstract

In recent years, the construction and innovation of distribution network have been accelerating, and the overall investment in distribution network has been increasing year by year. Therefore, the investment efficiency of distribution network has become a key concern. At present, the evaluation system of distribution network often focuses on the technical aspects such as planning effect, safety and reliability, while lacks the evaluation of investment efficiency. In terms of investment decision, it usually makes a simple proportional allocation according to historical data. To solve the problems of the investment decision in distribution network construction, this paper puts forward an multi-factorial investment decision model, which is guided by the investment efficiency evaluation while satisfying the demand of distribution network. Firstly, the index system of input-output assessment, scoring function and investment benefit score evaluation model of regional distribution network are proposed. Secondly, the investment decision-making model based on genetic algorithm is proposed, which coordinate the balance between economy and safety of distribution network. Finally, a regional distribution network is taken as an example to test and verify the scientific usefulness of the model. The practical application results show that the multi-factorial investment decision model can promote the development and improvement of the distribution network more reasonably and economical efficiently.