Research on Interaction and Optimal Configuration of Multi-Power Quality Regulator in Distribution Network

In the current distribution network, various types of devices based on DFACTS are used to improve power quality. Due to the wide variety of DFACTS devices, different functions and flexible applications, coupled with the problem of electrical coupling between devices, different or repeated control objectives, multiple DFACTS devices will have certain interaction effects and directly affect the power quality. In this paper, the interaction of multiple DFACTS devices in the distribution system is studied with the IEEE33 node power distribution system taken as the research object. An improved genetic algorithm(GA) is used to optimize the configuration of DFACTS, the interaction between DAFCTS devices and the results of optimized configuration are Quantitatively calculated based on the relative gain array (RGA) method. The simulation model is built and the simulation results confirm the correctness and effectiveness of the RAG method applied to the optimal configuration of the DFACTS devices.