Fractional Order PID Controller Based‐Neural Network Algorithm for LFC in Multi‐Area Power Systems

Engineering Reports, Год журнала: 2025, Номер 7(2)

Опубликована: Фев. 1, 2025

ABSTRACT Modern power systems are increasingly challenged by frequency stability issues due to dynamic load variations and the growing complexity of interconnected networks. Traditional PID controllers, while widely utilized, struggle address rapid fluctuations uncertainties inherent in contemporary multi‐area (MAIPS). This paper introduces an innovative approach Load Frequency Control (LFC) using a Fractional‐Order (FOPID) controller, optimized Neural Network Algorithm (NNA). The proposed NNA‐FOPID framework leverages biological principles neural networks dynamically tune controller parameters, significantly enhancing system performance. solution is tested under various scenarios involving step changes across systems. method demonstrates marked improvements over traditional controllers advanced optimization techniques such as Differential Evolution (DE) Artificial Rabbits (ARA). comparisons show that FOPID controller's NNA‐based design effectively successfully handles LFC MAIPSs for ITAE minimizations, statistical evaluation supports its superiority.

Язык: Английский

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A Novel Lyrebird Optimization Algorithm for Enhanced Generation Rate-Constrained Load Frequency Control in Multi-Area Power Systems with Proportional Integral Derivative Controllers

Processes, Год журнала: 2025, Номер 13(4), С. 949 - 949

Опубликована: Март 23, 2025

This study develops a novel Lyrebird Optimization Algorithm (LOA), technique inspired by the wild behavioral strategies of lyrebirds in response to potential threats. In two-area interconnected power system that includes non-reheat thermal stations, this algorithm is applied handle load frequency control (LFC) optimizing parameters Proportional–Integral–Derivative controller with filter (PIDn). incorporates generation rate constraints (GRCs). The efficiency provided LOA-PIDn evaluated through simulations under various disturbance scenarios and compared against other well-established optimization techniques, including Ziegler–Nichols (ZN), genetic (GA), Bacteria Foraging (BFOA), Firefly Approach (FA), hybridized FA pattern search (hFA–PS), self-adaptive multi-population elitist Jaya (SAMPE-Jaya)-based PI/PID controllers, Teaching–Learning-Based Optimizer (TLBO) IDD/PIDD controllers. results demonstrate LOA’s ability minimize integral time multiplied absolute error (ITAE) achieve significantly lower settling times for frequencies transferred variances comparison methods. comprehensive inclusion real-world validate LOA as robust effective tool addressing complex challenges modern systems.

Язык: Английский

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Allocation and Control of Multi-devices Voltage Regulation in Distribution Systems via Rough Set Theory and Grasshopper Algorithm: A Practical Study

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103860 - 103860

Опубликована: Дек. 1, 2024

Язык: Английский

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Output Current Observation and Control of Grid-Connected Modular Multilevel Converter Using a Simplified Super Twisting Algorithm Sliding Mode

Results in Engineering, Год журнала: 2025, Номер 25, С. 104280 - 104280

Опубликована: Фев. 5, 2025

Язык: Английский

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Load Frequency Control in Autonomous Microgrids using Hybrid Algorithm GWO-CS based Fuzzy logic Sliding Mode Controller

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104412 - 104412

Опубликована: Фев. 1, 2025

Язык: Английский

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Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach

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

Опубликована: Май 30, 2025

This study presents a novel approach for optimizing UAV (unmanned aerial vehicle) Multicircular flight control by developing fractional order proportional integral derivative (FOPID)-based hybrid Eagle strategy particle swarm optimization ant lion optimizer (HESPSOALO). The proposed algorithm combines the strengths of (PSO) and (ALO), which are enhanced to systematically fine-tune FOPID controller parameters. method aims improve system stability, responsiveness, disturbance rejection in UAVs, particularly challenging dynamic conditions. was validated against traditional methods that utilize (Base), Base HESPSOALO algorithm, FOPID-based HPSOGWO (Hybrid Particle Swarm Optimization-Gray Wolf Optimizer), HGWOALO Gray Optimization-Ant Lion Optimizer) with set benchmark functions used analysis. results demonstrate minimization position angular errors, reduced oscillations, overall improved stability compared other methods. Furthermore, multicriteria decision-making (MCDM) framework is applied evaluate performance alternative strategies utilizing CRiteria importance through intercriteria correlation (CRITIC) technique preference similarity ideal solution (TOPSIS) techniques. MCDM analysis demonstrates among evaluated criteria, [Formula: see text] has highest importance, weight 0.244019, whereas deemed least significant, 0.161023. ranking reveal (Base) best-performing method, score 0.571161, indicating its superior across major metrics. In contrast, + ranks lowest, 0.282794. findings have significant industrial implications, sectors where UAVs critical precision tasks, such as logistics, agriculture, surveillance, environmental monitoring. By parameters, enhances reliability environments, resulting more precise robust under varying improvement may reduce operational risks maintenance costs while increasing efficiency, prolonging service life, achieving energy savings. provides based on potential algorithms autonomous flight.

Язык: Английский

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Efficient recurrent wavelet fast Fourier transform network used in embedded systems for enhancing power quality

Electrical Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

Язык: Английский

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Strengthening Low-Voltage Ride Through Competency of Doubly Fed Induction Generator Driven by Wind Turbine Using Super-Twisting Sliding Mode Control

Energies, Год журнала: 2025, Номер 18(8), С. 1954 - 1954

Опубликована: Апрель 11, 2025

Power network codes necessitate that any renewable source aligns with LVRT rules and assists in voltage restoration during dips. This paper focuses on increasing the low-voltage ride through capability of a doubly fed induction generator-based wind turbine. Three different controllers are discussed this article. The first is based robust super-twisting sliding mode control, which recent control technique. second uses new metaheuristic optimizer called Arctic Puffin (APO), third relies traditional PI controller. grid-side converter sustains potential DC link regulation both active reactive power supplied to grid via three controllers. rotor-side regulates generator’s electromagnetic torque two Doubly generator challenging task as converters have five controllers, it vital specify ideal parameters for each In case APO utilized obtain surfaces needed Moreover, exploited optimal constants suggested regulators. simulation results prove excellent performance super-twisting- APO-based better demonstrated demonstrates transient least overshoot among super-twisting-based controller has distinct feature, good parameter variations.

Язык: Английский

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Implementation of Adaptive Control Strategies for PV System integrated Unified Conditioner for Optimal Power Quality regulation

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105122 - 105122

Опубликована: Апрель 1, 2025

Язык: Английский

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Integration Of a Novel Vernier-DSPM Generator in a Grid Connected Hybrid Renewable Energy System with Battery Storage

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103814 - 103814

Опубликована: Дек. 1, 2024

Язык: Английский

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