Interconnected Microgrids Load‐Frequency Control Using Stage‐by‐Stage Optimized <scp>TIDA</scp> +1 Error Signal Regulator

ABSTRACT Load‐frequency control (LFC) is essential for maintaining system stability and ensuring high power quality in microgrids (MGs), particularly those heavily reliant on renewable energy sources (RES) and operating independently of the main grid. This paper introduces a novel control strategy aimed at improving LFC performance in interconnected MGs by correcting the error signal. The proposed controller, denoted as TIDA+1, combines tilt, integrator, derivative, and acceleration operators in a parallel configuration to refine the incoming error signal. The controller parameters are optimized using a modified particle swarm optimization (PSO) algorithm with nonlinear time‐varying acceleration coefficients (NTVAC). The controller's effectiveness is validated through four distinct scenarios, including sudden load variations, system modeling uncertainties, fluctuations in RES outputs, and the impact of nonlinearities. Additionally, a lab‐scale evaluation of the controller has been conducted to further assess its practical applicability. Comparative results demonstrate that the TIDA+1 controller outperforms traditional controllers such as PID and FOPID, especially under complex operational conditions. The study highlights the TIDA+1 controller as a robust and viable solution for LFC in MGs, with potential for future scalability and application in larger systems.

Authors

Institutions

Publication Details

Journal
Engineering Reports
Published
2025-01-01
DOI
https://doi.org/10.1002/eng2.13095
Citations
3
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
2.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interconnected Microgrids Load‐Frequency Control Using Stage‐by‐Stage Optimized TIDA +1 Error Signal Regulator

Nicu Bizon, Antoni Szumny, Alireza Rahnama, Hossein Shayeghi
3 citations
Engineering Reports
Frequency Control in Power Systems
2.19
article

Interconnected Microgrids Load‐Frequency Control Using Stage‐by‐Stage Optimized TIDA +1 Error Signal Regulator

Nicu Bizon, Antoni Szumny, Alireza Rahnama, Hossein Shayeghi
article en
3 citations

Abstract

ABSTRACT Load‐frequency control (LFC) is essential for maintaining system stability and ensuring high power quality in microgrids (MGs), particularly those heavily reliant on renewable energy sources (RES) and operating independently of the main grid. This paper introduces a novel control strategy aimed at improving LFC performance in interconnected MGs by correcting the error signal. The proposed controller, denoted as TIDA+1, combines tilt, integrator, derivative, and acceleration operators in a parallel configuration to refine the incoming error signal. The controller parameters are optimized using a modified particle swarm optimization (PSO) algorithm with nonlinear time‐varying acceleration coefficients (NTVAC). The controller's effectiveness is validated through four distinct scenarios, including sudden load variations, system modeling uncertainties, fluctuations in RES outputs, and the impact of nonlinearities. Additionally, a lab‐scale evaluation of the controller has been conducted to further assess its practical applicability. Comparative results demonstrate that the TIDA+1 controller outperforms traditional controllers such as PID and FOPID, especially under complex operational conditions. The study highlights the TIDA+1 controller as a robust and viable solution for LFC in MGs, with potential for future scalability and application in larger systems.

Engineering ReportsVol. 7(1)
Wrocław University of Environmental and Life Sciences (PL), University of Mohaghegh Ardabili (IR)
University of Mohaghegh Ardabili
Affordable and clean energy
Openalex Percentile: Top 14%
Frequency Control in Power Systems
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.