Implementation of different intelligent controllers for mitigating the AC corrosion of metallic pipelines considering all HVOHTLs operation conditions
ISA Transactions • 2021
Publication Information
Authors
Mostafa Al-Gabalawy a, Mohamed A. Mostafa b, Abdel Salam Hamza
Keywords
AC corrosion
Induced AC voltage
Polarization cell
Cathodic protection
Fuzzy logic controller
Artificial Neural Network
Adaptive neuro fuzzy inference system
Journal
ISA Transactions
Publisher
ISA Transactions
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
AC corrosion represents a chronic issue that is faced by the buried metallic pipelines that are neighboring
by the high voltage overhead transmission lines (HVOHTLs). In this paper a potassium hydroxide
polarization cell (KOH-PC) is employed on the pipeline to mitigate the generated voltage from the
power lines’ intrusion with the buried pipeline. This work further investigates an integrated system to
exploit the discharged energy for compensating the cathodic protection disturbances where a portion
of this energy may be converted to DC form and reapplied on the pipeline as a cathodic protection
voltage. This paper also presents a comparative analysis of different KOH-PCs’ models with different
controllers to provide the guidelines for deciding which one of these techniques is more suitable
for mitigating the induced voltage and improving the cathodic protection distribution during normal
and fault operating conditions of transmission lines. The applied controllers are the artificial-neuralnetwork
(ANN), Fuzzy-logic-controller (FLC), and adaptive-neuro-fuzzy inference system (ANFIS). The
proposed model’s performance is implemented through modeling and simulating on MATLAB software
with the experimental measurements from the comparative analysis. The ANFIS controller is more
precise in differentiation with other controllers in compensating for the CP disturbances.
by the high voltage overhead transmission lines (HVOHTLs). In this paper a potassium hydroxide
polarization cell (KOH-PC) is employed on the pipeline to mitigate the generated voltage from the
power lines’ intrusion with the buried pipeline. This work further investigates an integrated system to
exploit the discharged energy for compensating the cathodic protection disturbances where a portion
of this energy may be converted to DC form and reapplied on the pipeline as a cathodic protection
voltage. This paper also presents a comparative analysis of different KOH-PCs’ models with different
controllers to provide the guidelines for deciding which one of these techniques is more suitable
for mitigating the induced voltage and improving the cathodic protection distribution during normal
and fault operating conditions of transmission lines. The applied controllers are the artificial-neuralnetwork
(ANN), Fuzzy-logic-controller (FLC), and adaptive-neuro-fuzzy inference system (ANFIS). The
proposed model’s performance is implemented through modeling and simulating on MATLAB software
with the experimental measurements from the comparative analysis. The ANFIS controller is more
precise in differentiation with other controllers in compensating for the CP disturbances.
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