A new modified version of mountain gazelle optimization for parameter extraction of photovoltaic models

Electrical Engineering, Journal Year: 2024, Volume and Issue: 106(5), P. 6565 - 6585

Published: April 20, 2024

Language: Английский

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Load frequency stabilization of distinct hybrid conventional and renewable power systems incorporated with electrical vehicles and capacitive energy storage

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 24, 2024

Abstract Maintaining a power balance between generation and demand is generally acknowledged as being essential to maintaining system frequency within reasonable bounds. This especially important for linked renewable-based hybrid systems (HPS), where disruptions are more likely occur. paper suggests prominent modified “Fractional order-proportional-integral with double derivative (FOPIDD2) controller” an innovative HPS controller in order navigate these obstacles. The recommended control approach has been validated including wind, reheat thermal, solar, hydro generating, well capacitive energy storage electric vehicle. improved controller’s performance evaluated by comparing it regular FOPID, PID, PIDD2 controllers. Furthermore, the gains of newly structured FOPIDD2 optimized using intended algorithm terms squid game optimizer (SGO). compared benchmarks such grey wolf (GWO) jellyfish search optimization. By characteristics maximum undershoot/overshoot, steadying time, SGO-FOPIDD2 outperforms other techniques. suggested SGO was analyzed its ability withstand influence parameter uncertainties under various loading scenarios situations. Without any complicated design, results show that new can work steadily regulate appropriate coefficient.

Language: Английский

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

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 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.

Language: Английский

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An approach for load frequency control enhancement in two-area hydro-wind power systems using LSTM + GA-PID controller with augmented lagrangian methods

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

Published: Jan. 8, 2025

This paper proposes an advanced Load Frequency Control (LFC) strategy for two-area hydro-wind power systems, using a hybrid Long Short-Term Memory (LSTM) neural network combined with Genetic Algorithm-optimized PID (GA-PID) controller. Traditional controllers, while extensively used, often face limitations in handling the nonlinearities and uncertainties inherent interconnected leading to slower settling time higher overshoot during load disturbances. The LSTM + GA-PID controller mitigates these issues by utilizing LSTM's capacity learn from historical data gradient descent forecast future disturbances, GA optimizes parameters real time, ensuring dynamic adaptability improved control precision. proposed controller's performance is rigorously tested against both classical controllers through simulations conducted MATLAB/Simulink. results reveal that achieves 2.33-fold reduction compared 4.07-fold Additionally, exhibits 3.27% mechanical output perturbations 3.43% transient changes. Hardware validation has been carried out show robustness of model.

Language: Английский

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Frequency stability improvement in EV-integrated power systems using optimized fuzzy-sliding mode control and real-time validation

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

Published: Feb. 17, 2025

The rapid growth in power demand, integration of renewable energy sources (RES), and intermittent uncertainties have significantly challenged the stability reliability interconnected systems. electric vehicles (EVs), with their bidirectional flow, further exacerbates frequency fluctuation system. So, to mitigate & deviations as well stabilize system integrated distributed generators (DGs) EVs, robust intelligent control strategies are indispensable. This study dedicates a novel Fuzzy-Sliding Mode Controller (FSMC) utilized for load (LFC). First, dynamic response has been evaluated by using Sliding (SMC), showcasing its robustness against external disturbances parameter uncertainties. Second, enhance performance, fuzzy logic is SMC, leveraging adaptability create FSMC controller. achieved superiority handling non-linearities, communication delays variations A significant contribution like design tuning controllers Modified Gannet Optimization Algorithm (MGOA) established. potential MGOA over GOA corroborated convergence speed precision through benchmark functions. Furthermore, paper extensively analyzes impact EV tie-line dynamics under varying regulation capacities uncertain operating conditions. Comparative studies demonstrate that MGOA-tuned achieves faster settling times, reduced overshoot, improved metrics compared conventional state-of-the-art methods. Finally, MATLAB-based simulation results validated real-time implementation on OPAL-RT 4510 platform, confirming practicality proposed methodology addressing modern challenges involving high penetration integration.

Language: Английский

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A gazelle optimization expedition for key term separated fractional nonlinear systems with application to electrically stimulated muscle modeling

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 185, P. 115111 - 115111

Published: June 15, 2024

Language: Английский

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Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 28, 2024

In this paper, an improved voltage control strategy for microgrids (MG) is proposed, using artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined with droop and virtual impedance techniques (VIT). The developed to improve control, power sharing total harmonic distortion (THD) reduction in the MG systems renewable distributed generation (DG) sources. VIT used decouple active reactive power, reduce negative interactions between DG's robustness of system under varying load conditions. Simulation findings different tests have shown significant improvements performance computational simulation. rise time reduced by 60%, overshoot 80%, THD 75% (from 0.99 0.20%), current 69% 10.73 3.36%) compared conventional PI technique. Furthermore, values were maintained below IEEE-519 standard limits 5% 8%, respectively, quality enhancement. Fluctuations frequency also at 2% tolerance 1% tolerance, across all limits, which consistent international norms. Power-sharing errors 50% after conducting against DC supply disturbances. addition, proposed outperforms previous presented state art terms adaptability, stability and, especially, ability THD, validates its effectiveness optimization uncertain

Language: Английский

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Advanced control parameter optimization in DC motors and liquid level systems

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

Published: Jan. 9, 2025

Language: Английский

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A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system

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

Published: Feb. 9, 2025

Implementing a suitable load frequency controller to maintain the power balance equation for multi-area system with many generating units poses challenge engineer. Incorporation of renewable energy sources along non-renewable is another while maintaining stability system. Hence robust intelligent an essential requirement achieve objective automatic control. This article introduces novel and efficient designed three-control area within deregulated multi-source The three areas include diverse generation sources: Area 1 integrates thermal units, hydro solar plants. In 2, there combination distributed technology (DST) units. 3 incorporates geothermal plant alongside unit. proposed parallel tilted integral derivative (TID) first-order filter effect (IDN). controller's parameters are optimized using advanced Coatis Optimization Algorithm (COA). High effective efficiency absence control key advantages Algorithm. highlights superior performance newly developed TID + IDN in comparison standalone controllers. assessment based on observation dynamic responses across different configurations. Additionally, study examines system's behaviour when incorporating storage such as Redox Flow Batteries (RFB). Furthermore, research investigates under various transactions environment, considering rate constraints governor dead bands. approach's robustness demonstrated by subjecting it extensive variations random fluctuations. summary, this paper presents innovative three-area hybrid operating context. Considering poolco transaction implementing COA error margin 0.02%, value function, ITAE transient 0.1233. less than obtained other controllers optimization techniques. case transaction, settling time deviation area-1, area-2, area-3 8.129, 3.72, 2.254 respectively. As compared controllers, better controller.

Language: Английский

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Efficient voltage regulation: An RW-ARO optimized cascaded controller approach

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2024, Volume and Issue: 9, P. 100687 - 100687

Published: July 11, 2024

This work introduces novel advancements in automatic voltage regulator (AVR) control, addressing key challenges and delivering innovative contributions. The primary motivation lies enhancing AVR performance to ensure stable reliable output. A crucial innovation this is the introduction of random walk aided artificial rabbits optimizer (RW-ARO). optimization strategy incorporates a approach, efficiency control schemes. proposed cascaded RPIDD2-PI controller, fine-tuned using RW-ARO, stands out as pioneering approach domain. It demonstrates superior stability, faster response times, enhanced robustness, improved compared existing methods. Comparative analyses with established controller approaches reaffirm exceptional method. new results shorter rise quicker settling minimal overshoot, highlighting its effectiveness speed achieving desired system responses. Moreover, attains higher phase gain margins, showcasing frequency disturbance rejection harmonic analysis are performed order demonstrate efficacy for potential real-world applications. latter further cement capability regulation.

Language: Английский

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