Manuscript Title:

ARTIFICIAL INTELLIGENCE-BASED TERMINAL SLIDING MODE CONTROL FOR FREQUENCY STABILIZATION OF RENEWABLE POWER SYSTEM USING IOT

Author:

R.SATHISH, D. VINOD KUMAR, R.DEVARAJAN, K. M. PRABHU

DOI Number:

DOI:10.17605/OSF.IO/RTAK9

Published : 2021-11-23

About the author(s)

1. R.SATHISH - Assistant Professor,Department of Electrical and Electronics Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Vinayaka Mission’s Research Foundation (Deemed To Be University).
2. D. VINOD KUMAR - Professor, Department of Bio-Medical Engineering, Vinayaka Mission’s Research Foundation (Deemed To Be University).
3. R.DEVARAJAN - Professor, Department of Electrical and Electronics Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Vinayaka Mission’s Research Foundation (Deemed To Be University).
4. K. M. PRABHU - PG Scholar, M.E – Power System Engineering, Department of Electrical and Electronics Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Vinayaka Mission’s Research Foundation (Deemed To Be University).

Full Text : PDF

Abstract

The optimal use of available energy sources is smart grid analysis and digital technology allows for two-way communication between the utility. Renewable Energy Sources (RES) are critical for future energy needs. The conventional energy sources, thereby eliminating the risks associated with the widespread use of conventional energy sources. Solar energy and Wind Energy are the most prominent energy source that is completely free of pollution and fuel. A photovoltaic solar-cell array, a mast-mounted wind generator, and a DC-AC converter convert low voltage Direct Current (DC) power generated by the PV or wind turbine or stored in the battery into standard Alternating Current (AC). The data-driven electrical grid that combines analog and digital data. The Two energy sources are used hybrid mechanisms and an issue arises when it comes to efficiency under varying atmospheric conditions such as temperature and climate conditions. To achieve maximum efficiency, Sliding Mode Control is required to extract the maximum power from the Photovoltaic (PV) system. In this proposed system, the system is set up so that during the day, the solar panels extract energy and directly supply it to the power grid, and any excess energy is stored. Wind energy is also generated so that it is routed to the battery and then to the grid system, ensuring that the battery is never completely depleted. Consider the converter to be a Direct Current (DC) connected with DC bus Power input equals and power output plus losses in steadystate. The sliding mode control strategy developed with the superconducting magnetic energy storage unit achieves fast and effective exchange of real and reactive power. As a result, as the output voltage of the Boost converter increases, so does the output current. Chattering is eliminated and controller robustness is achieved with the help of a suitable switching surface design and frequency control stabilization.


Keywords

Terminal Sliding Mode Control, Renewable Power Systems, Artificial Intelligence, Wind and Solar, IOT (Internet of Thing)