View in EDS

A novel MPC-based cascaded control for multi-area smart grids: Tackling renewable energy and EV integration challenges.

Saved in:
Bibliographic Details
Title: A novel MPC-based cascaded control for multi-area smart grids: Tackling renewable energy and EV integration challenges.
Authors: Tolba, Muhammad S.1 (AUTHOR) g202313790@kfupm.edu.sa, Gulzar, Muhammad Majid1,2,3 (AUTHOR) muhammad.gulzar@kfupm.edu.sa, Arishi, Ali4,5 (AUTHOR) awaje@kku.edu.sa, Soliman, Mohamed1 (AUTHOR) g202215300@kfupm.edu.sa, Murtaza, Ali Faisal6 (AUTHOR) a.murtaza@qu.edu.sa
Source: ISA Transactions. Oct2025, Vol. 165, p143-169. 27p.
Subjects: Renewable energy sources, Electric vehicles, Smart power grids, Optimization algorithms, Cascade control, Feedback control systems, Stability of linear systems
Abstract: This paper presents an advanced cascaded control scheme for load frequency regulation in multi-area power systems incorporating renewable energy sources (RES) and electric vehicles (EVs). The proposed design (Model predictive control cascaded with one plus proportional-integral control cascaded with tilt control in parallel with one plus fractional-order integral derivative controller (MPC-((1+PI)-(T+(1+I λ D μ)))) combines predictive, tilt, and fractional-order dynamics to improve adaptability and robustness under uncertainties. Controller parameters are tuned using the Lyrebird Optimization Algorithm (LOA), ensuring fast convergence and effective global search. Simulation results under varying operational conditions, including nonlinearity effects such as Generation Rate Constraints (GRC), Governor Dead Band (GDB), and Communication Time Delays (CTD), confirm the controller's superiority. It achieves a 96.4 % ITAE reduction, 98.6 % undershoot mitigation, and a settling time of just 5.8 s outperforming existing benchmark strategies (GOA: PDf+(0.75+PI), CBOA: PI-PD, JSA: PI, and ARA: 1+PID). • A hybrid MPC–fractional order cascaded controller is developed for smart grid frequency regulation. • Lyrebird Optimization Algorithm is used to fine-tune controller gains for robustness and precision. • The proposed method outperforms GOA, CBOA, JSA, and ARA controllers in ITAE and dynamic response. • Robustness is validated under load changes, nonlinearities, and system uncertainties. • Stability is ensured through detailed analysis under high RES penetration. [ABSTRACT FROM AUTHOR]
Copyright of ISA Transactions is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:This paper presents an advanced cascaded control scheme for load frequency regulation in multi-area power systems incorporating renewable energy sources (RES) and electric vehicles (EVs). The proposed design (Model predictive control cascaded with one plus proportional-integral control cascaded with tilt control in parallel with one plus fractional-order integral derivative controller (MPC-((1+PI)-(T+(1+I λ D μ)))) combines predictive, tilt, and fractional-order dynamics to improve adaptability and robustness under uncertainties. Controller parameters are tuned using the Lyrebird Optimization Algorithm (LOA), ensuring fast convergence and effective global search. Simulation results under varying operational conditions, including nonlinearity effects such as Generation Rate Constraints (GRC), Governor Dead Band (GDB), and Communication Time Delays (CTD), confirm the controller's superiority. It achieves a 96.4 % ITAE reduction, 98.6 % undershoot mitigation, and a settling time of just 5.8 s outperforming existing benchmark strategies (GOA: PDf+(0.75+PI), CBOA: PI-PD, JSA: PI, and ARA: 1+PID). • A hybrid MPC–fractional order cascaded controller is developed for smart grid frequency regulation. • Lyrebird Optimization Algorithm is used to fine-tune controller gains for robustness and precision. • The proposed method outperforms GOA, CBOA, JSA, and ARA controllers in ITAE and dynamic response. • Robustness is validated under load changes, nonlinearities, and system uncertainties. • Stability is ensured through detailed analysis under high RES penetration. [ABSTRACT FROM AUTHOR]
ISSN:00190578
DOI:10.1016/j.isatra.2025.06.024