Work

Design of optimal intelligent frequency control approach for autonomous microgrid: a step towards sustainable future

Year: 2025

Type: article

Abstract: Nowadays, numerous renewable energy sources (RESs) have been integrated into autonomous microgrids (AμGs) to reduce carbon emissions and promote sustainable energy. This study presents an approximate model of an AμG comprising solar photovoltaic, wind turbine generator, biodiesel, and biogas turbine generators as primary sources, along with aqua electrolyser, reformer, and fuel cell (FC) as energy storage elements. The proposed AμG operates fully on RESs, aiming for a transition to an emission-free future. Surplus renewable energy is converted to hydrogen via an electrolyser, while excess biogas is reformed into hydrogen and stored for later use. During peak demand, hydrogen is utilised through the FC to generate electricity. For efficient load frequency control, an intelligent fuzzy-driven tilt integral derivative with filter (F-TIDF) controller, optimised using a novel electric eel foraging optimisation algorithm, is proposed. Its performance is validated against five advanced controllers and tested on the IEEE 39-bus system.

Source: International Journal of Sustainable Energy

DOI: 10.1080/14786451.2025.2547700

Authors: Pawan Kumar Pathak, Anil Kumar Yadav, Rabeh Abbassi, Somnath Ganguly, Joyti Mudi, Joon Ho Choi

Institutions: Banasthali University, Instituto Nacional de Tecnologia, University of Ha'il, Chonnam National University

Language: English

Topic: Frequency Control in Power Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure

Open Access status: diamond

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea