Version 1
: Received: 28 December 2023 / Approved: 29 December 2023 / Online: 29 December 2023 (03:39:37 CET)
How to cite:
AKBAL, B. Optimum Cable Bonding With Pareto Optimal and Hybrid Neural Method to Prevent High Voltage Cable Insulation Faults in the Wind Energy Systems. Preprints2023, 2023122239. https://doi.org/10.20944/preprints202312.2239.v1
AKBAL, B. Optimum Cable Bonding With Pareto Optimal and Hybrid Neural Method to Prevent High Voltage Cable Insulation Faults in the Wind Energy Systems. Preprints 2023, 2023122239. https://doi.org/10.20944/preprints202312.2239.v1
AKBAL, B. Optimum Cable Bonding With Pareto Optimal and Hybrid Neural Method to Prevent High Voltage Cable Insulation Faults in the Wind Energy Systems. Preprints2023, 2023122239. https://doi.org/10.20944/preprints202312.2239.v1
APA Style
AKBAL, B. (2023). Optimum Cable Bonding With Pareto Optimal and Hybrid Neural Method to Prevent High Voltage Cable Insulation Faults in the Wind Energy Systems. Preprints. https://doi.org/10.20944/preprints202312.2239.v1
Chicago/Turabian Style
AKBAL, B. 2023 "Optimum Cable Bonding With Pareto Optimal and Hybrid Neural Method to Prevent High Voltage Cable Insulation Faults in the Wind Energy Systems" Preprints. https://doi.org/10.20944/preprints202312.2239.v1
Abstract
Photovoltaic systems and wind energy systems are generally used in distributed system. However, zero-sequence and harmonic currents occur due to photovoltaic systems, and positive-sequence harmonic currents occur due to wind turbines. Thus, the sheath current in high voltage cables increases due to these currents and poor power quality in distributed generation plants. Metal parts of the cable are grounded to prevent the negative effects of sheath currents. When long high voltage cable lines are grounded with the method in the literature, high sheath current and voltage occur on the cable sheath. Therefore, the SSBLR method is designed as a new method for the distributed generation system. The SSBLR method has been optimized with prediction methods and multi-objective optimization methods to prevent negative effects of the sheath current. Pareto optimal method is used as multi-objective optimization method, and artificial neural network, hybrid artificial neural network and regression methods are used as prediction method. The most dominant result is searched using different estimation and optimization methods in pareto optimal method. When the artificial neural network-genetic algorithm hybrid method is used as a prediction method, and genetic algorithm used as optimization method, significant decreases are observed in sheath current and voltage.
Keywords
Multi-objective optimization; hybrit neural network; optimization; high voltage cable grounding
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
