Model Identification of Pipe-to-Soil Potential (PSP) in ICCP Systems for Buried Pipeline

• Published in: 2023 IEEE 11th Conference on Systems, Process and Control, ICSPC 2023 - Proceedings
• Main Author: Majid M.A.; Kasuan N.; Hairuddin M.A.; Ashar N.D.K.; Hussain Z.; Ahmad K.A.; Boudville R.; Sani M.M.; Rahiman M.H.F.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186728677&doi=10.1109%2fICSPC59664.2023.10420378&partnerID=40&md5=05c581f8dec8b7eedef9cbc6691ee58f

The study of the dynamic relationship between transformer rectifier unit (TRU) current output and Pipe-to-Soil Potential (PSP) is crucial for optimizing Impressed Current Cathodic Protection (ICCP) systems. Monitoring these variables offers valuable insights into the health and efficiency of cathodic protection systems, effectively mitigating pipeline corrosion. This paper introduces a modeling approach for TRU current output and PSP using Auto Regressive with Exogenous Input (ARX) and Autoregressive Moving Average with Exogenous inputs (ARMAX) model structures. The experimental data was collected at 1-minute intervals, with 70%-30% splitting data for Validation and Estimation (labeled as Method 1) and Odd-Even splitting data (labeled as Method 2). Mathematical models for both Methods were established using system identification (SI) techniques. Model performance was assessed based on the criteria of best fit, Akaike's criteria, and mean square error (MSE). The Simulation results indicate that the ARMAX model using Method 1 outperformed ARX. Consequently, the ARMAX model provides an effective representation of current and PSP behavior closely mirroring real-world systems. © 2023 IEEE.