Assessing Stability in Renewable Microgrid Using a Novel-Optimized Controller for PVBattery Based Micro Grid with Opal-RT-Based Real-Time Validation

Anshuman Satpathy, Rahimi Bin Baharom (), Naeem M. S. Hannon, Niranjan Nayak and Snehamoy Dhar
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Anshuman Satpathy: Department of EE, Siksha ‘O’ Anusandhan Deemed to Be University, Bhubaneswar 751030, India
Rahimi Bin Baharom: School of Electrical Engineering, College of Engineering, Universiti Technologi MARA, Shah Alam 40450, Malaysia
Naeem M. S. Hannon: School of Electrical Engineering, College of Engineering, Universiti Technologi MARA, Shah Alam 40450, Malaysia
Niranjan Nayak: Department of EEE, Siksha ‘O’ Anusandhan Deemed to Be University, Bhubaneswar 751030, India
Snehamoy Dhar: Department of EEE, Siksha ‘O’ Anusandhan Deemed to Be University, Bhubaneswar 751030, India

Energies, 2024, vol. 17, issue 20, 1-23

Abstract: This paper focuses on the distributed generation (DG) controller of a PV-based microgrid. An independent DG controller (IDGC) is designed for PV applications to improve Maximum-Power Point Tracking (MPPT). The Extreme-Learning Machine (ELM)-based MPPT method exactly estimates the controller’s reference input, such as the voltage and current at the MPP. Feedback controls employ linear PI schemes or nonlinear, intricate techniques. Here, the converter controller is an IDGC that is improved by directly measuring the converter duty cycle and PWM index in a single DG PV-based MG. It introduces a fast-learning Extreme-Learning Machine (ELM) using the Moore–Penrose pseudo-inverse technique and online sequential ridge methods for robust control reference (CR) estimation. This approach ensures the stability of the microgrid during PV uncertainties and various operational conditions. The internal DG control approach improves the stability of the microgrid during a three-phase fault at the load bus, partial shading, irradiance changes, islanding operations, and load changes. The model is designed and simulated on the MATLAB/SIMULINK platform, and some of the results are validated on a hardware-in-the-loop (HIL) platform.

Keywords: solar PV; duty cycle; feedback controller; voltage control; IDGC; ELM; irradiance variation; partial shading (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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