Adaptability Evaluation of Distributed Power Sources Connected to Distribution Network

Abstract

At present, the distribution network is in an important opportunity period of rapid development and improvement of efficiency. A large amount of new energy and distributed energy are connected to the distribution network, which is beyond the capacity of some power grids. Therefore, the influence of nearby access of distributed power sources such as wind power and solar power on the distribution network is taken into account. This paper evaluates and studies the adaptability of distribution network after distributed power supply is connected to distribution network. Firstly, a new definition of the adaptability of distribution network is given. and the adaptability evaluation system of distribution network is sorted out and identified based on this, and the index system of adaptability evaluation of distribution network is constructed. Then the combined weight of the evaluation model is determined by the Analytic Hierarchy Process (AHP) and Entropy Weight method (EM). Then, a distribution network adaptability evaluation model based on quantum adaptive particle swarm optimization support vector machine (QAPSO-SVM) is constructed. Finally, through the comparative analysis of examples and the sensitivity analysis of the results, the superiority of the quantum adaptive particle swarm optimization support vector machine model in the adaptability evaluation of distribution network is proved.

Keywords

• Distribution network adaptability
• analytic hierarchy process
• entropy weight method
• combined weight
• sensitivity analysis
• QAPSO-SVM