Frequency Stabilization Based on a TFOID-Accelerated Fractional Controller for Intelligent Electrical Vehicles Integration in Low-Inertia Microgrid Systems DOI Creative Commons
Mohamed Abdelkader, Emad M. Ahmed, Emad A. Mohamed

et al.

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(8), P. 346 - 346

Published: Aug. 1, 2024

Microgrid systems face challenges in preserving frequency stability due to the fluctuating nature of renewable energy sources (RESs), underscoring importance advanced stabilization strategies. To ensure power system situations where significantly contributes mix, it is essential implement load controllers (LFCs). Moreover, with widespread use electric vehicles (EVs), leveraging battery storage from EVs for microgrid control becoming increasingly crucial. This integration enhances grid and offers a sustainable solution by utilizing more efficiently reducing dependency on traditional sources. Therefore, this paper proposes an innovative approach LFCs, using fractional-order techniques boost resilience interconnected systems. The centers centralized scheme tilt integral-derivative featuring accelerated derivative (TFOID-Accelerated) controller. component controller tailored mitigate high-frequency disturbances, while its feature fractional effectively handle disturbances at lower frequencies. As result, proposed expected counteract caused variability RESs and/or changes, achieving high level disturbance rejection. Additionally, employs recent growth optimizer (GO) method optimal design controller’s parameter set, avoiding need complex theories, elaborate observers, filters, precise modeling. GO algorithm capabilities, offering robust demand fluctuations. accomplished optimizing parameters simplifying across different scenarios. TFOID-Accelerated LFC demonstrates superior performance enhancing minimizing oscillations compared existing controllers, including proportional-integral-derivative (PID), PID-Accelerated (PIDA), tilt-integral-derivative (TID) controllers.

Language: Английский

LFC performance advancement of two-area RES penetrated multi-source power system utilizing CES and a new CFOTID controller DOI
Yogendra Arya,

Rafeque Ahmad,

Ibraheem Nasiruddin

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 87, P. 111366 - 111366

Published: April 6, 2024

Language: Английский

Citations

16
Optimizing load frequency control in microgrid with vehicle-to-grid integration in Australia: Based on an enhanced control approach DOI Creative Commons
Muhammad Irfan, Sara Deilami, Shujuan Huang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 366, P. 123317 - 123317

Published: May 1, 2024

Microgrids are extensively integrated into electrical systems due to their many technical, economic, and environmental advantages. However, they encounter a challenge as experience high-frequency fluctuations caused by the stochastic nature of renewable energy generation, electric loads, presence Electric Vehicles (EVs). Therefore, various techniques, algorithms, controllers have been introduced ensure effective Load Frequency Control (LFC) maintain stable power system in microgrids. These methods aim that system's frequency remains within an acceptable range, especially when faced with changing load demands other factors. This paper presents novel enhanced control approach, Particle Swarm Optimization-Trained Artificial Neural Network (PSO-TANN), optimize model microgrid vehicle-to-grid integration. The results then compared under scenarios, including integration, EV charging discharging dynamics, varying demands. comparative analysis involves assessing performance conventional Proportional–Integral–Derivative (PID) controller, PSO-PID newly proposed controlling technique. suggested controller attains 99.904% efficiency negligible mean squared error 1.1112 × 10−7, decreasing time absolute 1.0 10−4. It shows rapid response, precise targeting, quick peak output ability, marginal overshoot undershoot, transient 28.5626 s, efficiently frequency. Stability validates effectiveness PSO-TANN ensuring stability microgrid's LFC during uncertainties disturbances. establishes resilience, diminishes settling time, maintains reliable while

Language: Английский

Citations

16
Flow direction optimizer tuned robust FOPID-(1 + TD) cascade controller for oscillation mitigation in multi-area renewable integrated hybrid power system with hybrid electrical energy storage DOI

Zafar Ayub Ansari,

G. Lloyds Raja

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 83, P. 110616 - 110616

Published: Jan. 27, 2024

Language: Английский

Citations

15
Load frequency control in power systems with high renewable energy penetration: A strategy employing PIλ(1+PDF) controller, hybrid energy storage, and IPFC-FACTS DOI Creative Commons
Irfan Ahmed Khan, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 106, P. 337 - 366

Published: July 13, 2024

Language: Английский

Citations

13
Load frequency stabilization of distinct hybrid conventional and renewable power systems incorporated with electrical vehicles and capacitive energy storage DOI Creative Commons
Amil Daraz, Hasan Alrajhi, Abdul Basit

et al.

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

Citations

10
Resilient frequency stability of a PV/wind penetrated complex power system with CSA tuned robust Type-2 fuzzy cascade PIF Controller DOI
Prakash Chandra Sahu, Subhransu Ranjan Samantaray

Electric Power Systems Research, Journal Year: 2023, Volume and Issue: 225, P. 109815 - 109815

Published: Sept. 14, 2023

Language: Английский

Citations

21
Load Frequency Control Using Golden Eagle Optimization for Multi-Area Power System Connected Through AC/HVDC Transmission and Supported With Hybrid Energy Storage Devices DOI Creative Commons
Irfan Ahmed Khan, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 44672 - 44695

Published: Jan. 1, 2023

The reliability of a power system depends on its ability to handle fluctuations and varying load demands, as uncontrolled frequency deviations can lead load-shedding blackouts. Optimally tuned controllers are essential for Load Frequency Control (LFC) applications efficiently stabilize the by minimizing undershoots, overshoots, settling time. This paper proposed application novel Golden Eagle Optimization (GEO) algorithm optimal tuning LFC controller, which has not been previously employed in any applications. Moreover, this presents first-ever implementation hybrid energy storage consisting Vanadium Redox Flow Battery (VRFB) Super Magnetic Energy Storage System (SMES) coupled with AC/HVDC transmission lines multi-area system. A GEO optimized Proportional-Integrative-Derivative (GEO-PID) robust controller is designed Integral Time Absolute Error (ITAE) objective function enhance system's stability. tested two four areas systems considering sensitivity nonlinearity systems. robustness test also performed verify stability under randomly chosen loading conditions. In comparison particle swarm optimization, dragonfly algorithm, sine cosine ant lion whale optimization GEO-PID significantly reduced time up 80% different area's frequencies. Simulation results indicate that outperforms other recent algorithms effectively dampening tie-line less times, well undershoots overshoots.

Language: Английский

Citations

19
Combined frequency and voltage regulation in an interconnected power system using fractional order cascade controller considering renewable energy sources, electric vehicles and ultra capacitor DOI
Hiramani Shukla, More Raju

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 84, P. 110875 - 110875

Published: Feb. 13, 2024

Language: Английский

Citations

7
Frequency regulation of interconnected hybrid power system with Assimilation of electrical vehicles DOI Creative Commons
Amil Daraz, Irfan Ahmed Khan, Abdul Basit

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(6), P. e28073 - e28073

Published: March 1, 2024

Recent widespread connections of renewable energy resource (RESs) in place fossil fuel supplies and the adoption electrical vehicles gasoline-powered have given birth to a number new concerns. The control architecture linked power networks now faces an increasingly pressing challenge: tie-line fluctuations reducing frequency deviations. Because their nature dependence on external circumstances, RESs are analogous continually fluctuating generators. Using fractional order-based regulator, this work presents method for improving regulation two-area interconnected system. In order deal with difficulties hybrid system integrated RES, suggested controller utilizes modified form proportional integral derivative (FOPID) known as FOI-PDN controller. proposed controllers designed using white shark optimizer (WSO), current powerful bioinspired meta heuristic algorithm which has been motivated by learning abilities sharks when actively hunting environment. controller's performance was compared that various methodologies such FOPID, PID. Furthermore, WSO findings those other techniques salp swarm algorithm, sine cosine fitness dependent optimizer. recommended design approach tested validated at different loading conditions well robustness against parameter suspicions. simulation outcomes demonstrate WSO-based tuned successfully reduces peak overshoot 73.33%, 91.03%, 77.21% region-2, region-1, link variation respectively, delivers minimum undershoot 89.12%, 83.11%, 78.10% both regions tie-line. obtained stable function controlling optimal parameters without requirement sophisticated process.

Language: Английский

Citations

5
Cascaded Fractional-Order Controller-Based Load Frequency Regulation for Diverse Multigeneration Sources Incorporated with Nuclear Power Plant DOI Creative Commons
Y. Ye, Amil Daraz, Abdul Basit

et al.

International Journal of Energy Research, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 25

Published: April 9, 2024

To sustain a system frequency within acceptable limits, it is widely conceded that retaining power balance between generation and demand necessary. In order to regulate the of systems (PSs) this article proposes novel cascaded based fractional-order controller termed as integer- (FOI-) proportional integral with double derivative (FOPIDD2). addition redox flow batteries capacitive energy storage, recommended control strategy has been validated gas, thermal reheat, hydro, nuclear systems. Additionally, newly designed algorithm known squid game optimizer (SGO) optimizes gains new FOI-FOPIDD2 controller. The technique inspired by fundamental principles conventional Korean sport. It employs population candidate solutions iteratively adjusts parameters discover optimal set reduces abnormalities improves stability. A comparison also made controller’s performance benchmarks, including jellyfish search algorithm, firefly grey wolf optimizer, particle swarm algorithm. proposed algorithms reduced peak overshoot compared 35.34%, 46.78%, 76.89%; optimization 34.76%, 77.22%, 82.56%; 82.67%, 89.23%, 29.67% for variations in area 1, 2 tie line power, respectively. Furthermore, SGO-FOI-FOPIDD2 controllers under different loading circumstances conditions were evaluated endorsed their ability withstand uncertainties parameters.

Language: Английский

Citations

5