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Maximum Power Extraction Control Algorithm for Hybrid Renewable Energy System

N. Kanagaraj*, Mohammed Al-Ansi
Electrical Engineering Department, College of Engineering at Wadi Aldawasir, Prince Sattam Bin Abdulaziz University, Wadi Aldawasir, 11991, Saudi Arabia
* Corresponding Author: N. Kanagaraj. Email:

Computer Systems Science and Engineering 2023, 45(1), 769-784. https://doi.org/10.32604/csse.2023.029457

Received 03 March 2022; Accepted 14 April 2022; Issue published 16 August 2022

Abstract

In this research, a modified fractional order proportional integral derivate (FOPID) control method is proposed for the photovoltaic (PV) and thermoelectric generator (TEG) combined hybrid renewable energy system. The faster tracking and steady-state output are aimed at the suggested maximum power point tracking (MPPT) control technique. The derivative order number (µ) value in the improved FOPID (also known as PIλDµ) control structure will be dynamically updated utilizing the value of change in PV array voltage output. During the transient, the value of µ is changeable; it’s one at the start and after reaching the maximum power point (MPP), allowing for strong tracking characteristics. TEG will use the freely available waste thermal energy created surrounding the PV array for additional power generation, increasing the system’s energy conversion efficiency. A high-gain DC-DC converter circuit is included in the system to maintain a high amplitude DC input voltage to the inverter circuit. The proposed approach’s performance was investigated using an extensive MATLAB software simulation and validated by comparing findings with the perturbation and observation (P&O) type MPPT control method. The study results demonstrate that the FOPID controller-based MPPT control outperforms the P&O method in harvesting the maximum power achievable from the PV-TEG hybrid source. There is also a better control action and a faster response.

Keywords

Fractional order PID controller; MPPT; boost converter; PV array; thermoelectric generator; hybrid renewable energy system

Cite This Article

N. Kanagaraj and M. Al-Ansi, "Maximum power extraction control algorithm for hybrid renewable energy system," Computer Systems Science and Engineering, vol. 45, no.1, pp. 769–784, 2023.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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