A Novel H∞/H2 Pole Placement LFC Controller with Measured Disturbance Feedforward Action for Disturbed Interconnected Power Systems

Load Frequency Control (LFC) is essential for ensuring frequency stability in modern power systems subject to load fluctuations, uncertainties, and increasing renewable penetration. This paper introduces a novel hybrid control framework that unifies H∞ stability guarantees, H2 performance, and pole placement for transient shaping. Its originality is threefold. First, it models load variation as a measurable disturbance (D12 = 0, D21 ≠ 0), departing from the standard assumption of an unknown input. This enables a low-order H∞ controller that improves transient response, enhances robustness, and reduces energy consumption. Second, the framework explicitly accounts for a wider spectrum of real-world uncertainties, including governor and turbine dynamics and the transmission-line synchronizing power coefficient. Third, it integrates explicit energy optimization to reduce mechanical stress and extend equipment lifespan. This strategy yields substantial energy savings by minimizing fuel use and operational costs. Simulation results confirm its superiority: the proposed H∞/H2 pole placement controller with measured disturbances achieves a 98% reduction in control energy relative to a standard H∞ controller, along with a 70% reduction in overshoot and a drastic improvement in settling time—from 7 s to 0.2 s—compared to a conventional H∞/H2 controller. These results establish the proposed framework as a new benchmark for robust, efficient, and high-performance LFC design.

Institutions

Publication Details

Journal
Automation
Published
2025-12-08
DOI
https://doi.org/10.3390/automation6040090
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel H∞/H2 Pole Placement LFC Controller with Measured Disturbance Feedforward Action for Disturbed Interconnected Power Systems

Automation
Frequency Control in Power Systems
article

A Novel H∞/H2 Pole Placement LFC Controller with Measured Disturbance Feedforward Action for Disturbed Interconnected Power Systems

article en

Abstract

Load Frequency Control (LFC) is essential for ensuring frequency stability in modern power systems subject to load fluctuations, uncertainties, and increasing renewable penetration. This paper introduces a novel hybrid control framework that unifies H∞ stability guarantees, H2 performance, and pole placement for transient shaping. Its originality is threefold. First, it models load variation as a measurable disturbance (D12 = 0, D21 ≠ 0), departing from the standard assumption of an unknown input. This enables a low-order H∞ controller that improves transient response, enhances robustness, and reduces energy consumption. Second, the framework explicitly accounts for a wider spectrum of real-world uncertainties, including governor and turbine dynamics and the transmission-line synchronizing power coefficient. Third, it integrates explicit energy optimization to reduce mechanical stress and extend equipment lifespan. This strategy yields substantial energy savings by minimizing fuel use and operational costs. Simulation results confirm its superiority: the proposed H∞/H2 pole placement controller with measured disturbances achieves a 98% reduction in control energy relative to a standard H∞ controller, along with a 70% reduction in overshoot and a drastic improvement in settling time—from 7 s to 0.2 s—compared to a conventional H∞/H2 controller. These results establish the proposed framework as a new benchmark for robust, efficient, and high-performance LFC design.

AutomationVol. 6(4)
Aix-Marseille Université (FR), American University of the Middle East (KW), Beirut Arab University (LB), International University of Beirut (LB), Laboratoire d’Informatique et Systèmes (FR), Lebanese International University (LB)
Affordable and clean energy
Openalex Percentile: Top 47%
Frequency Control in Power Systems
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.