Evaluation of distribution network planning considering scalability and adaptability

Abstract

With economy development and population increasing, it is significant to restruct and expand distribution network to follow electricity demand. In order to reduce investment costs and increase efficiency, it is necessary to scientifically and reasonably evaluate planning schemes and construct distribution network. In this paper, an evaluation system is established to evaluate comprehensively for distribution network planning. It not only includes reliability and economy, but also scalability and adaptability to adapt future development. Due to high penetration of distributed energy access, it makes a great influence to distribution network. As for uncertainties, it takes advantage of fuzzy membership function to describe working state of wind turbine, photovoltaic and electric vehicle. Based on mean and variance, Monte Carlo method can simulate the data of wind speed, light intensity and electric vehicle. To avoid subjective interference, it objectively evaluate distribution network planning based on topsis with anti-entropy method. In this way, planning schemes are ranked and the best scheme is selected for construction of distribution network. Last, some prospects are made for future development of scalability and adaptability.