Efficient pressure regulation in nonlinear shell-and-tube steam condensers via a Novel TDn(1 + PIDn) controller and DCSA algorithm

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 15, 2025

Язык: Английский

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A novel artificial intelligence based multistage controller for load frequency control in power systems

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 28, 2024

The imbalance between generated power and load demand often causes unwanted fluctuations in the frequency tie-line changes within a system. To address this issue, control process known as (LFC) is essential. This study aims to optimize parameters of LFC controller for two-area system that includes reheat thermal generator photovoltaic (PV) plant. An innovative multi-stage TDn(1 + PI) introduced reduce oscillations changes. combines tilt-derivative with an N filter (TDn) proportional-integral (PI) controller, which improves system's response by correcting both steady-state errors rate change. design enhances stability speed dynamic systems. A new meta-heuristic optimization technique called bio-dynamic grasshopper algorithm (BDGOA) used first time fine-tune proposed improve its performance. effectiveness evaluated under various demands, parameter variations, nonlinearities. Comparisons other controllers algorithms show BDGOA-TDn(1 significantly reduces overshoot achieves faster settling times these oscillations. Simulation results demonstrate outperforms conventional controllers, achieving reduction 75%, 60%, lower integral time-weighted absolute error 50% diverse operating conditions, including variations nonlinearities such delays governor deadband effects.

Язык: Английский

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AI-enabled frequency synchronization control considering FDI attack using metaheuristic algorithm

Neural Computing and Applications, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Язык: Английский

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Advanced Frequency Stabilization Framework for Multi-Area Renewable Energy Grids with EV Aggregator Support: A Multi-Stage Control Perspective

Sustainable Computing Informatics and Systems, Год журнала: 2025, Номер unknown, С. 101120 - 101120

Опубликована: Март 1, 2025

Язык: Английский

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Transient frequency control through nutcracker optimization algorithm for TFOPIDn-LADRC in energy containment-based power system

Journal of Energy Storage, Год журнала: 2025, Номер 122, С. 116683 - 116683

Опубликована: Апрель 16, 2025

Язык: Английский

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Ameliorating frequency regulation based on double stage FOPI-(1 + TDN) for hybrid maritime microgrid system

Ain Shams Engineering Journal, Год журнала: 2024, Номер unknown, С. 103102 - 103102

Опубликована: Окт. 1, 2024

Язык: Английский

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Load frequency control progress: A comprehensive review on recent development and challenges of modern power systems

Energy Strategy Reviews, Год журнала: 2024, Номер 57, С. 101604 - 101604

Опубликована: Дек. 19, 2024

Язык: Английский

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A novel proactive frequency control based on 4-DoF-TMPC-1+PI-FOPI for a high order power system with communication delays and uncertainties

Computers & Electrical Engineering, Год журнала: 2024, Номер 120, С. 109876 - 109876

Опубликована: Ноя. 19, 2024

Язык: Английский

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Bonobo Optimizer Inspired PI‐(1+DD) Controller for Robust Load Frequency Management in Renewable Wind Energy Systems

International Journal of Energy Research, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

With the growing presence of renewable energy sources (RESs), necessity for adaptive and robust control strategies becomes more pronounced. This article proposes a self‐adaptive bonobo optimizer (SABO)‐based proportional integral one plus double derivative (PI‐(1+DD)) controller that offers novel solution to load frequency (LFC). It draws inspiration from reproductive bonobos, employing unique mating behaviors enhance optimization processes. innovative approach introduces memory capabilities, repulsion‐based learning, diverse‐mating strategies. is developed tune PI‐(1+DD) handling LFC in two‐area power system involving thermal plant RESs wind farm. The proposed SABO algorithm applied comparative manner standard (BOA), Coot algorithm, particle swarm (PSO), Pelican (POA). Also, SABO‐based contrasted PI PIDn controllers. simulation findings distinguish as versatile offering resilient efficient tackle complexities introduced by evolving landscape. demonstrates its potential significantly improve dynamic response systems, particularly face step changes random fluctuations. shows significant enhancement compared BOA, Coot, POA, PSO with 38.81%, 46.27%, 16.79%, 37.40%, respectively. it an impressive percentage improvement 97.1% 74.88% over considering consecutive fluctuations system.

Язык: Английский

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Resilient type-2 self adaptive fuzzy-TFOPI strategy for frequency mitigation in energy storage based power system

Journal of Energy Storage, Год журнала: 2025, Номер 123, С. 116716 - 116716

Опубликована: Апрель 23, 2025

Язык: Английский

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