Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2
Abstractive Summarization System
Volume-3 | Issue-4
Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
Volume-3 | Issue-3
Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
EL DAPP - An Electricity Meter Tracking Decentralized Application
Volume-2 | Issue-1
SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1
ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1
Abstractive Summarization System
Volume-3 | Issue-4
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 5 | Issue - 1 | march 2023
Published
22 March, 2023
With the gradual depletion of traditional fossil energy and the increasing demand for electricity, finding new energy sources has become the only way for sustainable development. Microgrid is becoming an important auxiliary power for some developed and developing countries to solve the supply problem of energy system, which can not only effectively improve the overall utilization rate of renewable energy, but also improve the power supply reliability of the main grid. In this paper, the hardware circuit and software control of microgrid simulation system based on STM32 are studied and designed. The main circuit design of microgrid simulation system is based on STM32 single chip microcomputer as the main control core, and the pulse modulation signal SPWM is output through the software program of STM32F103CBT6 single chip microcomputer. The MOS driving circuit provides driving voltage and control signal to drive the inverter bridge to invert DC into AC. The inverter bridge is modulated by SPWM control technology, and the high-frequency signal in AC is filtered by low-pass filtering circuit, and finally the stable AC with a fixed frequency of 50 Hz is the output. By calculating the device parameters of the main control circuit and the full-bridge inverter circuit in the hardware unit circuit, and making appropriate selection of components, the specific model is determined, and finally the circuit design of the whole circuit is completed. The hardware circuit is designed rationally by Altium designer, and the software circuit is programmed by Keil. The influence of SPWM signal output by the circuit on the resistance load and its output waveform is analyzed comprehensively, and the influence of working frequency on the output waveform of the circuit is studied.
KeywordsMicrogrid STM32 Inverter Full bridge inverter
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