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.
Highlights
In recent years, in order to adapt to the economic development and the adjustment of energy structure, new energy power generation represented by photovoltaic and wind power is gradually becoming an important part of the energy development strategy [1,2]
EVALUATION OF ADAPTABILITY OF DISTRIBUTION NETWORK BASED ON QAPSO-SVM MODEL This section will introduce the analytic hierarchy process, entropy method and particle swarm optimization support vector machine model related theories involved in the evaluation of the adaptability of the distribution network
DETERMINATION OF THE WEIGHT OF THE DISTRIBUTION NETWORK ADAPTABILITY EVALUATION INDEX There are many typical index weighting methods, which are mainly divided into three categories: subjective weighting method, objective weighting method, and combined weighting method
Summary
In order to adapt to the economic development and the adjustment of energy structure, new energy power generation represented by photovoltaic and wind power is gradually becoming an important part of the energy development strategy [1,2]. Compared with the traditional distribution network structure, distributed grid structure including wind power and solar energy has the characteristics of dispersion and instability [3]. It is affected by the randomness and volatility of photovoltaic and wind power, as well as the uncertainty of power supply caused by them and the uncertainty of user load end [4,5,6,7]. Under the background of energy revolution, the previous evaluation methods of distribution network adaptability take traditional energy supply as the object It can not fully cover the new features in the distribution network system. An accurate analysis of the impact of new energy grid connection on the distribution network has a certain guiding significance for the scientific transformation of the distribution network
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