Hybrid AC/DC control techniques with improved harmonic conditions using DBN based fuzzy controller and compensator modules

Abstract

Hybrid AC–DC microgrid provides highly distributed generation receiving capacity by reducing multiple power conversions in individual AC or DC microgrids. Thus, the control of grid variables in a hybrid AC–DC microgrid is complicated due to erroneous frequency transients and the impact of negative sequence components. Hence, a novel Synchronous Reference Frame Phase-Locked Loop (SRF-PLL) with Self-curing decoupling network is introduced in which this network provides synchronization and distinguishes positive and negative sequences in discrete blocks. To eliminate fluctuation of grid variables in ac and dc sides, a novel Switched Tuned Arm Filter (STAF) and Variable Voltage Stabilization Compensator (VVSC) Multi-loop controller including central Deep Belief Network (DBN) with Fuzzy controller is presented. In which STAF Multi-loop controller use tuned circuits to suppress higher-order harmonics. Also, a central DBN with a fuzzy controller provides a control signal to an ac/dc converter to regulate power transmission. Additionally, in order to stabilize the dynamic voltage and compare the DC bus voltage with the reference value, the VVSC Multiloop controller uses a PWM to compare the DC bus voltage. Then the proposed techniques are simulated in Simulink platform and the results achieved stabilized voltage, low RMSE, and low delay.

Keywords

• AC/DC microgrid
• synchronous reference frame phase locked loop (SRF-PLL)
• deep belief network
• fuzzy logic
• compensator modules