An ISCHO based 2-degree-of-freedom double integral feedback controller for power system load frequency control DOI
Qingyi Zhang,

Kuansheng Zou,

Zhaojun Zhang

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 12, 2025

Abstract Power system load frequency control is a key component in maintaining the stability of power system, but integration renewable energy sources poses additional challenges this balance. Due to intermittency and unsustainability energy, new controller, 2-degree-of-freedom double integral feedback controller (2DOF-PIDF-II), proposed effectively reduce errors caused by unsustainability. In addition, an improved Sinh Cosh optimizer (ISCHO) adjust parameters 2DOF-PIDF-II according characteristics excessive parameters. The performance based on ISCHO evaluated through two-area interconnected each area containing various conventional generation units renewables units. Furthermore, nonlinearities, uncertainties, fluctuations are considered designing controller. effectiveness verified comparing its with other techniques literature optimization algorithm.

Language: Английский

A comprehensive review of vehicle-to-grid integration in electric vehicles: Powering the future DOI Creative Commons
Pulkit Kumar, Harpreet Kaur Channi, Raman Kumar

et al.

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: unknown, P. 100864 - 100864

Published: Dec. 1, 2024

Language: Английский

Citations

9
Frequency Regulation of Stand-Alone Synchronous Generator via Induction Motor Speed Control Using a PSO-Fuzzy PID Controller DOI Creative Commons

Masoud Mohamed Masoud Elhawat,

Hüseyin Altınkaya

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(7), P. 3634 - 3634

Published: March 26, 2025

This paper introduces a novel approach to frequency regulation in stand-alone synchronous generators by combining particle swarm optimization (PSO) with Fuzzy PID controller. study compares three control methods: programmable logic controller (PLC)-based PID, and PSO-Fuzzy An experimental setup is implemented using real physical equipment, including an asynchronous motor, generator, various power components. The system monitored controlled real-time via S7-1215 PLC the TIA Portal V17 interface, controllers are designed MATLAB/Simulink. PLC-MATLAB communication KEPServerEX interface OPC UA protocol. demonstrates superior performance, reducing overshoot, undershoot, settling time compared other methods. These results highlight effectiveness applicability of for industrial control, especially under varying load conditions nonlinear characteristics generator.

Language: Английский

Citations

1
Development of intelligent controller for high performance electric drives with hybrid CSA and RERNN technique DOI Creative Commons

J. Prabhakaran,

P. Thirumoorthi,

M Mathankumar

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 23, 2025

Language: Английский

Citations

0
An ISCHO based 2-degree-of-freedom double integral feedback controller for power system load frequency control DOI
Qingyi Zhang,

Kuansheng Zou,

Zhaojun Zhang

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 12, 2025

Abstract Power system load frequency control is a key component in maintaining the stability of power system, but integration renewable energy sources poses additional challenges this balance. Due to intermittency and unsustainability energy, new controller, 2-degree-of-freedom double integral feedback controller (2DOF-PIDF-II), proposed effectively reduce errors caused by unsustainability. In addition, an improved Sinh Cosh optimizer (ISCHO) adjust parameters 2DOF-PIDF-II according characteristics excessive parameters. The performance based on ISCHO evaluated through two-area interconnected each area containing various conventional generation units renewables units. Furthermore, nonlinearities, uncertainties, fluctuations are considered designing controller. effectiveness verified comparing its with other techniques literature optimization algorithm.

Language: Английский

Citations

0