Review of Challenges and Key Enablers in Energy Systems towards Net Zero Target: Renewables, Storage, Buildings, & Grid Technologies.

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40691 - e40691

Published: Nov. 26, 2024

Language: Английский

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Enhanced load frequency control in multi-source power systems with stochastic optimization algorithms and SMES integration via AC-DC parallel tie-lines

Next research., Journal Year: 2025, Volume and Issue: unknown, P. 100288 - 100288

Published: March 1, 2025

Language: Английский

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A Comprehensive Survey of Aquila Optimizer: Theory, Variants, Hybridization, and Applications

Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

Language: Английский

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Identification of harmonic sources in smart grid using systematic feature extraction from non-active powers

Frontiers in Smart Grids, Journal Year: 2024, Volume and Issue: 3

Published: Jan. 31, 2024

The paper introduces a novel method for identifying the location of harmonic-generating sources in smartgrids. utilizes Dual-Tree Complex Wavelet Transform (DTCWT) voltage and current signals measured at specific point network. By applying DTCWT Transform, are decomposed, three non-active power quantities extracted to represent harmonic components within system exclusively. These chosen serve as indicators presence harmonics system. Through analysis comparison these quantities, enables determining precise dominant generating source. This information is valuable effectively addressing mitigating issues Leveraging focusing on provides tool engineers operators diagnose mitigate issues, ultimately improving quality performance. study presents new feature extraction compute Non-active based due its shift-invariant property.

Language: Английский

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ANFIS-based power management and islanding detection utilizing permeation rate(γ) and relaxation parameter(ζ) for optimal operation of multiple grid-connected microgrids

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2024, Volume and Issue: 9, P. 100682 - 100682

Published: July 14, 2024

Microgrid(s) integration into distribution networks and the growing use of Distributed Generation Systems necessitate switch from traditional fossil fuel-based power generation methods to renewable resource-based ones. To achieve optimal delivery, an adaptive method for solving quality delivery problems posed by this transition is required. Unexpected islanding important security concern that can lead equipment damage, electrical risks, decrease in delivery. address problem, ANFIS-Based management detection utilizing permeation rate(γ) relaxation parameter(ζ) proposed paper based on a rate change output voltage(ROCOV) sources at point common coupling 34-bus network. Modeling network, distributed generators, ANFIS training, simulations was done using MATLAB/Simulink software. Results show 0.3 1.01 value indicates grid-tied mode whereas 0 parameter disconnected main Islanding time 0.02 sec recorded when all Microgrids were during disturbances, 0.04 disconnecting individual respectively. In general, causes system nominal voltage(400 V) deviation 7 %. However, quickly restored without causing network voltage fluctuations due nature ANFIS. Comprehensive used validate suggested method. The outcomes demonstrated approach effectively distinguishes between non-islanding events accurately identify as compared other related works.

Language: Английский

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Enhancing energy quality and grid stability with improved adaptive controller for renewable energy conversion systems under weak grid conditions

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 237, P. 111041 - 111041

Published: Sept. 5, 2024

Language: Английский

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Optimized integration of renewable energy sources using seven-level converter controlled by ANFIS-CS-GWO

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2024, Volume and Issue: 9, P. 100689 - 100689

Published: July 14, 2024

The global energy landscape is undergoing a significant transformation, driven by the need to reduce greenhouse gas emissions, enhance security, and provide sustainable clean power solutions. Renewable sources (RES) such as Solar Photovoltaic (SPV), wind, fuel cells, tidal play crucial role in this transition due their abundant availability low environmental impact. However, integrating these diverse into systems requires advanced control strategies ensure stability, efficiency, reliability. Existing systems, however, face challenges unstable voltage profiles, prolonged fault settling time (FST), high total harmonic distortion (THD), which compromise efficiency To overcome limitations, novel methodology proposed, PV cell, seven-level converter (SLC) system, named Four Level RES based SLC (FLRES-SLC) system. This system managed an Adaptive Neuro-Fuzzy Inference System (ANFIS), fine-tuned Cuckoo Search adopted Grey Wolf Optimizer (CS-GWO). hybrid strategy ensures robust profile, significantly reduces FST, lowers THD, thereby markedly improving overall performance of innovative approach offers reliable efficient solution for modern enhancing integration with ensuring high-quality delivery.

Language: Английский

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Optimum Cable Bonding with Pareto Optimal and Hybrid Neural Methods to Prevent High-Voltage Cable Insulation Faults in Distributed Generation Systems

Processes, Journal Year: 2024, Volume and Issue: 12(12), P. 2909 - 2909

Published: Dec. 19, 2024

The high voltage, current and harmonic distortion in high-voltage cable metal sheaths cause insulation faults. SSBLR (Sectional Solid Bonding with Inductance (L) Resistance) method was designed as a new grounding to prevent optimized using multi-objective optimization (MOP) the prediction (PM) minimize these factors. Pareto optimal used for MOP. artificial neural network, hybrid network regression methods were PM. When network–genetic algorithm PM, genetic method, voltage significantly reduced sheath of cable.

Language: Английский

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Anfis-Based Power Management and Islanding Detection Utilizing Permeation Rate(Γ) and Relaxation Parameter(Ζ) for Optimal Operation of Multiple Grid-Connected Microgrids

Published: Jan. 1, 2024

Language: Английский

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Application of adaptive neuro-fuzzy inference system control in power systems

IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: May 2, 2024

An adaptive neuro-fuzzy inference system (ANFIS) is developed by combining neural-networks and fuzzy system. The ANFIS model uses the advantages possessed properties of neural networks its decision making based on inference. parameters are obtained updated training processes. consists two inputs (by Gaussian or other membership function) an output (with constant linear function). control implemented building a power stabilizer (PSS) in systems. PSS function to produce additional stabilizing signal reactive mode generator. Training data from systems that controlled conventional with various conditions. process carried out repeatedly until appropriate found. Next, applied replace single machine hybrid plants. Peak overshoot settling time smaller shorter. makes stability improve significantly small-signal studies.

Language: Английский

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