A Universal Source DC–DC Boost Converter for PEMFC‐Fed EV Systems With Optimization‐Based MPPT Controller DOI Creative Commons

CH Hussaian Basha,

Shaik Rafikiran, Ezzeddine Touti

и другие.

International Transactions on Electrical Energy Systems, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

Conventional energy networks produce with less efficiency. Also, these source’s development costs and size are more. So, the world is focusing on renewable for production to consumer. In this work, a proton exchange membrane fuel stack (PEMFS) technology selected feeding hydrogen vehicle. The merits of more abundant, faster operational response, efficient electrical automotive networks. However, stack’s nonlinear its point varies concerning device operating temperature. particle swarm optimized adaptive network‐based fuzzy inference system (PSO‐ANFIS) proposed in work find cell network. features hybrid methodology low number iteration values required, convergence time, low‐level dependence stack, high compliance quick deviations efficiency tracking time maximum power (MPPT) controller 95.60% 0.1089 s. Another issue output current generation voltage production. This condition happening because chemical reaction dynamics, internal resistance cell, electrochemical potential. Due excess flow direct stack‐fed face conduction losses. To reduce losses system, single‐switch circuit used source current, thereby optimizing excessive system. whole network analyzed by selecting MATLAB Window.

Язык: Английский

Performance evaluation of a novel self-tuning particle swarm optimization algorithm-based maximum power point tracker for porton exchange membrane fuel cells under different operating conditions DOI
Ahmed Refaat, Ahmed Elbaz, Abd-Elwahab Khalifa

и другие.

Energy Conversion and Management, Год журнала: 2023, Номер 301, С. 118014 - 118014

Опубликована: Дек. 26, 2023

Язык: Английский

Процитировано

22
Golden jackal optimization algorithm with deep learning assisted intrusion detection system for network security DOI Creative Commons
Nojood O. Aljehane, Hanan Abdullah Mengash, Majdy M. Eltahir

и другие.

Alexandria Engineering Journal, Год журнала: 2023, Номер 86, С. 415 - 424

Опубликована: Дек. 7, 2023

Network security is essential to our daily communications and networks. Cybersecurity researchers initiate the significance of emerging proficient network intrusion detection systems (IDS) for providing secure While attackers endure progress novel kinds attacks sizes develop, necessity effectual IDS becomes significant. Additionally, aims offer confidentiality, integrity, availability data communicated in networked computers by avoiding illegal access network. Several studies executed machine learning (ML) IDS; then, with advent deep (DL) artificial neural networks (ANNs) that create features automatically without human interference, started depend on DL approaches. This study introduces a new Golden Jackal Optimization Algorithm Deep Learning Assisted Intrusion Detection System Security (GJOADL-IDSNS) technique. The major intention GJOADL-IDSNS system lies recognition classification intrusions, achieve security. Primarily, normalization performed scale input into useful format. In presented technique, GJOA-based feature selection (GJOA-FS) approach can be employed elect an optimum subset features. Next, methodology applies attention-based bi-directional long short-term memory (A-BiLSTM) model. For hyperparameter tuning A-BiLSTM model, technique uses salp swarm algorithm (SSA). simulation value has been tested utilizing benchmark datasets. comparative results stated achieves better performance than other models.

Язык: Английский

Процитировано

18
Enhancing Microgrid Inverter-Integrated Charging Station Performance through Optimization of Fractional-Order PI Controller Using the One-to-One Sine Cosine Algorithm DOI Creative Commons
Abdallah Aldosary

Fractal and Fractional, Год журнала: 2024, Номер 8(3), С. 139 - 139

Опубликована: Фев. 28, 2024

This paper is dedicated to optimizing the functionality of Microgrid-Integrated Charging Stations (MICCS) through implementation a new control strategy, specifically fractional-order proportional-integral (FPI) controller, aided by hybrid optimization algorithm. The primary goal elevate efficiency and stability MICCS-integrated inverter, ensuring its seamless integration into modern energy ecosystems. MICCS system considered here comprises PV array as electrical power source, complemented proton exchange membrane fuel cell supporting resource. Additionally, it includes battery an electric vehicle charging station. model formulated with objective minimizing integral square errors in both DC-link voltage grid current while also reducing total harmonic distortion. To enhance precision parameter estimation, one-to-one optimizer sine cosine algorithm (HOOBSCA) introduced. approach improves exploitation exploration characteristics individual algorithms. Different meta-heuristic algorithms are tested against HOOBSCA different case studies see how well tunes FPI settings. Findings demonstrate that suggested method integrated inverters’ transient steady-state performance, confirming improved performance generating high-quality solutions. best fitness value achieved proposed was 3.9109, outperforming other investigated this paper. HOOBSCA-based successfully response voltage, maximum overshooting not exceeding 8.5% compared employed study.

Язык: Английский

Процитировано

5
Maximum Power Point Tracking of Photovoltaic Generation System Using Improved Quantum-Behavior Particle Swarm Optimization DOI Creative Commons
Gwo‐Ruey Yu, Y. J. Chang,

W.D. Lee

и другие.

Biomimetics, Год журнала: 2024, Номер 9(4), С. 223 - 223

Опубликована: Апрель 8, 2024

This study introduces an improved quantum-behavior particle swarm optimization (IQPSO), tailored for the task of maximum power point tracking (MPPT) within photovoltaic generation systems (PGSs). The stage MPPT system comprises a series buck-boost converters, while control contains microprocessor executing biomimetic algorithm. Leveraging converter, achieves optimal operation at under both ideal ambient conditions and partial shade (PSCs). proposed IQPSO addresses premature convergence issue QPSO, enhancing accuracy reducing time by estimating adjusting probability distribution. Employing exponential decay, facilitates reduction in time, consequently efficiency search capability. Through single-peak experiments, multi-peak irradiance-changing full-day it is demonstrated that outperform existing algorithms, such as firefly algorithm (FA), PSO.

Язык: Английский

Процитировано

5
A comprehensive survey of golden jacal optimization and its applications DOI
Mehdi Hosseinzadeh, Jawad Tanveer, Amir Masoud Rahmani

и другие.

Computer Science Review, Год журнала: 2025, Номер 56, С. 100733 - 100733

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

0
Optimization of PEMFC pressure control using fractional PI/D controller with non-integer order: design and experimental evaluation DOI Creative Commons

Avijit Routh,

Sankhadeep Ghosh,

Indranil Dey

и другие.

Engineering Research Express, Год журнала: 2024, Номер 6(2), С. 025001 - 025001

Опубликована: Март 14, 2024

Abstract The fuel-based proton exchange membrane (PEM) fuel cell is a promising technology for clean energy production owing to the several advantages including high efficiency (around 80% theoretical), quiet in operation, and almost zero emission as compared conventional internal combustion engine. Only hydrogen oxygen are supplied at anode cathode, respectively generate power water produced by product. However, it suffers achieve its maximum theoretical due lack of flow/pressure management PEMFC stack which also causes flooding within reduce performance catalyst reduces efficiency. higher can be achieved with proper control inlet flow rate pressure PEMFC. Since it’s crucial maintaining consistent supply exponential pressure, main focus this work regulation cathode side. A fractional PI/D controller designed operate system more realistically. There three primary objectives research work. In first step, monitoring operating find out suitable PI-D given resilience level, has lowest Integration Absolute Error (IAE) disturbances. robustness level and/or threshold peak considered tuning parameter evaluation. Second, compare best IAE that simple SIMC rules, where certain varying variable. Through comparison, effectiveness recommended achieving optimal plant evaluated. Thirdly, design non-integer order using MATLAB software results existing models. This comparison provides insight into practical proposed controller. shows developed able very efficiently findings further emphasise on important consider levels time developing systems PEMFCs. efficacy suggested unique technique confirmed contrasting

Язык: Английский

Процитировано

3
Voltage Control of PEM Fuel Cell in a DC Microgrid Using Optimal Artificial Rabbits Algorithm-Based Fractional Order PID Controller DOI Creative Commons

Andrew J. Riad,

Hany M. Hasanien, Zia Ullah

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 89191 - 89204

Опубликована: Янв. 1, 2024

This article utilizes a Fractional Order Proportional-Integral-Derivative (FOPID) controller for voltage regulation of Proton Exchange Membrane fuel cell (PEMFC) in DC Microgrids. The PEMFC is considered promising candidate integration into However, maintaining stable and efficient operation requires precise control, especially under varying load conditions inherent nonlinearities. FOPID tuned by artificial rabbits optimization algorithm (FOPID-ARO) recommended to address this challenge, which extends the conventional PID introducing two additional parameters: fractional orders derivative integral actions. enhancement allows more flexible control strategy that capable handling complex dynamics PEMFCs effectively than traditional controllers. suggested effectiveness assessed different operational scenarios, such as solar irradiance variations, compared with ARO (PID-ARO) an jellyfish search grey wolf optimizer. Moreover, actual data on are considered. findings indicate FOPID-ARO performs better PID-ARO terms dynamic response minimizes steady-state error effectively.

Язык: Английский

Процитировано

2
Enhancing Power Quality in Decentralized Hybrid Microgrids: Optimized DSTATCOM Performance Using Cascaded Fractional-Order Controllers and Hybrid Optimization Algorithms DOI Creative Commons
Abdullah M. Alharbi,

Sulaiman Z. Almutairi,

Ziad M. Ali

и другие.

Fractal and Fractional, Год журнала: 2024, Номер 8(10), С. 589 - 589

Опубликована: Окт. 4, 2024

At present, the integration of microgrids into power systems presents significant quality challenges in terms rising adoption nonlinear loads and electric vehicles. Ensuring stability efficiency electrical network this evolving landscape is crucial. This paper explores implementation cascading Proportional–Integral (PI-PI) Fractional-Order PI (FOPI-FOPI) controllers for a Distribution Static Compensator (DSTATCOM) hybrid that include photovoltaic (PV) fuel cells. A novel optimization algorithm, WSO-WOA, introduced to enhance quality. algorithm leverages strengths White Shark Optimization (WSO) Whale Algorithm (WOA), with WSO generating new candidate solutions WOA exploring alternative search areas when does not converge on optimal results. The proposed approach was rigorously tested through multiple case studies compared established metaheuristic algorithms. findings demonstrate WSO-WOA significantly outperforms others optimizing PI-PI FOPI-FOPI controllers. showed an improvement accuracy, surpassing other algorithms by approximately 7.29% 14.1% tuning controller about 8.5% 21.2% controller. Additionally, results confirm superior performance over enhancing effectiveness DSTATCOM across various scenarios. provided reduced settling time at least 30.5–56.1%, resulting marked improvements voltage regulation overall within microgrid.

Язык: Английский

Процитировано

1
Energy Management in a Grid-Connected Microgrid using hybrid golden Jackal optimization and gradient descent optimization and the Concept of Loadability DOI Creative Commons

Sunil Kumar,

Ikbal Ali, Anwar Shahzad Siddiqui

и другие.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Год журнала: 2024, Номер unknown, С. 100763 - 100763

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

0
A Universal Source DC–DC Boost Converter for PEMFC‐Fed EV Systems With Optimization‐Based MPPT Controller DOI Creative Commons

CH Hussaian Basha,

Shaik Rafikiran, Ezzeddine Touti

и другие.

International Transactions on Electrical Energy Systems, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

Conventional energy networks produce with less efficiency. Also, these source’s development costs and size are more. So, the world is focusing on renewable for production to consumer. In this work, a proton exchange membrane fuel stack (PEMFS) technology selected feeding hydrogen vehicle. The merits of more abundant, faster operational response, efficient electrical automotive networks. However, stack’s nonlinear its point varies concerning device operating temperature. particle swarm optimized adaptive network‐based fuzzy inference system (PSO‐ANFIS) proposed in work find cell network. features hybrid methodology low number iteration values required, convergence time, low‐level dependence stack, high compliance quick deviations efficiency tracking time maximum power (MPPT) controller 95.60% 0.1089 s. Another issue output current generation voltage production. This condition happening because chemical reaction dynamics, internal resistance cell, electrochemical potential. Due excess flow direct stack‐fed face conduction losses. To reduce losses system, single‐switch circuit used source current, thereby optimizing excessive system. whole network analyzed by selecting MATLAB Window.

Язык: Английский

Процитировано

0