Reactive power optimization and fault analysis based on intelligent distribution network simulation platform

Abstract

Intelligent distribution network is one of the key technologies and the important part of smart grid. It has great significance to the high-quality electric energy and the promotion of new energy revolution which can promote environmental protection and sustainable development. At present, our country’s smart distribution network is still in its initial stage which is relatively weak. It cannot solve the problem of a large number of renewable energy accesses to the power grid and achieve the optimal operation of distribution network and itself healing control. With the gradual deepening of the construction of smart distribution network, the future power grid will be more complex, and its operation and control is bound to be more highly dependent on digital simulation tools. At first, the three aspects of the distribution network simulation platform is analyzed in this paper. Secondly, the model and algorithm of the function module of the simulation platform are analyzed in the two parts of the reactive power optimization and fault analysis. Reactive power optimization part of the column writes the objective function, equality and inequality constraints. The function of reactive power optimization is realized by using particle swarm optimization algorithm. Fault analysis section describes the module data relations, three-phase short-circuit fault and asymmetric fault processing flow. Finally, the line model is built in the simulation platform, which verifies the correctness of the simulation platform.