Voltage control strategy for distribution network based on SoC FPGA hardware parallel computing

Abstract

With the development of active distribution network and Internet of Things technology,the access of reactive power equipment is becoming more complicated and marginalized,and the related computing of voltage control is also developing towards edge computing. Due to the limited computing power,the pure software calculation of edge nodes takes a long time,which cannot meet the requirements of real-time control. Aiming at this problem,a distribution network voltage control strategy based on system on chip field programmable gate array (SoC FPGA) hardware parallel computing is proposed. Firstly,the software and hardware computing framework based on SoC FPGA is designed. Then,targeted improvements are made to the distribution network voltage control model and genetic algorithm solution method for FPGA computing. Finally,the FPGA hardware solution structure is designed in modules. The verification of example scenarios shows that,compared with the pure software solution method of edge nodes,the average solution efficiency of the proposed strategy in scenarios where voltage is lower than lower limit and where voltage exceeds upper limit is increased by 2.41 times and 2.15 times respectively,which can effectively improve the real-time performance of voltage control.

Keywords

• active distribution network;voltage control;edge computing;system on chip field programmable gate array (soc fpga);parallel computing;genetic algorithm