A systematic literature review of optimal placement of fast charging station DOI Creative Commons
Jimmy Trio Putra,

M. Isnaeni Bambang Setyonegoro,

Taco Niet

et al.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2024, Volume and Issue: unknown, P. 100818 - 100818

Published: Oct. 1, 2024

Language: Английский

Model-based fault detection in photovoltaic systems: A comprehensive review and avenues for enhancement DOI Creative Commons
Bilal Taghezouit, Fouzi Harrou, Ying Sun

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101835 - 101835

Published: Jan. 30, 2024

Solar photovoltaic (PV) systems have become a vital renewable energy source, witnessing rapid global demand. Nevertheless, these are susceptible to faults and anomalies that can deteriorate performance yield significant consequences. Hence, this paper is dedicated reviewing recent advancements in monitoring, modeling, fault detection methods for PV systems. It encompasses diverse system types, including grid-connected, stand-alone, hybrid configurations, delves into the latest data acquisition monitoring techniques. The review also discusses various modeling approaches, empirical, analytical, numerical models, highlighting significance of model validation calibration. Furthermore, it provides comprehensive analysis model-based Overall, underscores pivotal role offers thorough comprehension available techniques enhancing management maintenance.

Language: Английский

Citations

16
Multi-dimensional management of smart distribution networks: Comparative analysis of box and polyhedral methods for modeling uncertainties DOI

Kamran Taghizad-Tavana,

Hassan Sarikhan Kheljani,

Seyed Hossein Hosseini

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105488 - 105488

Published: April 29, 2024

Language: Английский

Citations

16
Satin bowerbird algorithm with an adaptive constriction factor for enhanced photovoltaic integration in distribution feeders DOI Creative Commons
Mohammed Alqahtani, Abdullah M. Shaheen

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102502 - 102502

Published: July 2, 2024

—This paper introduces an enhanced Satin bowerbird optimizer (SBO), specifically tailored for the integration of photovoltaic distributed generation (DG) units into radial distribution systems. The upgraded SBO version involves two pivotal adjustments. Firstly, positional updating mechanism newly generated bower is modified to enable exploration around iteration's elite bower. Secondly, adaptive constriction factor introduced, progressively decreasing during iterations concentrate search in promising areas. These modifications significantly amplify capacity each new algorithm. proposed aims at minimizing costs related CO2 emissions from grid and those linked with units, addition energy losses. variability DG represented using Beta Probability Density Function (PDF) portray distinct solar irradiation conditions experienced daily. undergoes testing on a practical Nigerian system, Ajinde 62-bus network, standard IEEE 69 nodes system. Simulation results underscore effectiveness version, revealing substantial reductions losses emissions. Specifically, achieves noteworthy 31 % reduction combined yearly compared initial case. Additionally, 69-bus it attains considerable 35 %. Furthermore, simulation illustrate competitive performance suggested when Differential Evolution (DE) Particle Swarm Optimization (PSO) algorithms, as well SBO.

Language: Английский

Citations

9
Enhancing optimization accuracy in power systems: Investigating correlation effects on objective function values DOI Creative Commons
Ahmad K. ALAhmad, Renuga Verayiah, Agileswari K. Ramasamy

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102351 - 102351

Published: June 1, 2024

This study addresses the critical yet often overlooked aspect of incorporating correlations among input stochastic variables in power system planning and scheduling optimization. While existing literature has extensively focused on uncertainty modelling, there remains a gap fully assessing consequences disregarding objective function values across different network sizes. To bridge this gap, we utilize Monte Carlo simulation with Cholesky decomposition, alongside Quasi-Monte sampling Latin Hypercube Sampling, to effectively model capture correlation coefficients variables, including wind, solar photovoltaic, load power. The most efficient technique is then integrated into our optimization model, which applied small, medium, large models. Our proposed conflicting objectives using hybrid NSGAII-MOPSO, aiming simultaneously minimize total operational cost, loss, voltage deviation. By implementing selected networks comparing outcomes between cases independent correlated rigorously assess discrepancies values. We visualize analyse these errors systems varying sizes, shedding light impact neglecting variable correlations. Notably, maximum are observed at $3.26/h, $40.66/h, $2754.04/h for IEEE 30-bus, 57-bus, 118-bus systems, respectively. Crucially, as size increases, so does magnitude differences, underlining escalating outcomes. stress importance integrating such considerations future strategies mitigate enhance decision-making processes.

Language: Английский

Citations

7
Allocation and Control of Multi-devices Voltage Regulation in Distribution Systems via Rough Set Theory and Grasshopper Algorithm: A Practical Study DOI Creative Commons
Abdallah M. Elsayed, Ali M. El‐Rifaie, Marwa F. Areed

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103860 - 103860

Published: Dec. 1, 2024

Language: Английский

Citations

6
Uncertainty analysis of photovoltaic power generation system and intelligent coupling prediction DOI
Guo‐Feng Fan,

Yi-Wen Feng,

Li‐Ling Peng

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 234, P. 121174 - 121174

Published: Aug. 14, 2024

Language: Английский

Citations

5
Deep neural network based distribution system state estimation using hyperparameter optimization DOI Creative Commons
Gergő Bendegúz Békési, Lilla Barancsuk, B. Hartmann

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102908 - 102908

Published: Sept. 1, 2024

Language: Английский

Citations

5
A Systematic Literature Review of Optimal Placement of Fast Charging Station DOI
Jimmy Trio Putra,

M. Isnaeni Bambang Setyonegoro,

Taco Niet

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Compare between the performance of different technologies of PV Modules using Artificial intelligence techniques DOI Creative Commons
Hichem Hafdaoui, Nasreddine Belhaouas, Houria Assem

et al.

Journal of Renewable Energies, Journal Year: 2024, Volume and Issue: unknown

Published: May 9, 2024

In this paper, we applied the artificial intelligence technique (SVM Classifier) to compare performance of two different technologies PV modules (class class and backsheet glass) after five (05) months operation in Algeria under same weather conditions (moderate humid climate) . We have a database for outdoor monitoring these modules, consisting data (Isc, Voc, Pmax, Imp, Vmp, Tm, Tamb, G, WD, WS, Date, Time) which are variables data, where SVM creates groups or according that entered, it produces heatmaps help us reading results making decision easily, unlike classic methods very difficult. This method is applicable comparison between several solar panels photovoltaic plants. It enough just give database.

Language: Английский

Citations

0
Hydropneumatic Storage Methodology Towards a New Era of Hybrid Energy System's Efficiency and Flexibility DOI Creative Commons

João Coelho,

Modesto Pérez‐Sánchez, Óscar E. Coronado-Hernández

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 103117 - 103117

Published: Oct. 12, 2024

Language: Английский

Citations

0