Coordinated optimization method of "source network, load, and storage" in active distribution network based on genetic algorithm

Abstract

In the development of social economy, in order to fully meet the basic demand of social residents for energy, based on the construction of active distribution network, the integrated operation objective of "source network, charge and storage" was put forward, and the coordinated optimization mathematical model based on genetic algorithm was constructed. According to the cumulative experience of structural reform of energy supply side in our country in recent years, transforming the extensive mode into the mode of improving quality and efficiency can provide high-quality distributed resources for our country to cope with climate change and economic construction. Therefore, on the basis of understanding the integrated operation objectives of active distribution network and "source network, load and storage", and according to the basic concept of genetic algorithm, this paper deeply discusses the coordinated optimization method of "source network, load and storage" of active distribution network with genetic algorithm as the core. The final experimental results show that genetic algorithm can not only control the cost of distribution network operation, but also improve the social and economic benefits.