Implementation of different intelligent controllers for mitigating the AC corrosion of metallic pipelines considering all HVOHTLs operation conditions

Mostafa Al-Gabalawy; Mohamed A Mostafa; Abdel Salam Hamza

doi:10.1016/j.isatra.2021.02.003

Implementation of different intelligent controllers for mitigating the AC corrosion of metallic pipelines considering all HVOHTLs operation conditions

ISA Trans. 2021 Nov:117:251-273. doi: 10.1016/j.isatra.2021.02.003. Epub 2021 Feb 4.

Authors

Mostafa Al-Gabalawy¹, Mohamed A Mostafa², Abdel Salam Hamza³

Affiliations

¹ Electrical Power and Control Department, Pyramids Higher Institute for Engineering and Technology, 6th October, Cairo, Egypt.
² Electrical Power and Machines Department, MUST University, 6th October, Cairo, Egypt. Electronic address: eng_ma1988@yahoo.com.
³ Electrical Power and Machines Department, Benha University, Shoubra, Cairo, Egypt.

PMID: 33581892
DOI: 10.1016/j.isatra.2021.02.003

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-neural-network (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.

Keywords: AC corrosion; Adaptive neuro fuzzy inference system; Artificial Neural Network; Cathodic protection; Fuzzy logic controller; Induced AC voltage; Polarization cell.