Different approaches in calculating AC inductive interference from power lines on pipelines

Lucca, Giovanni

doi:10.1049/iet-smt.2018.0086

Cited by 11 publications

(4 citation statements)

References 15 publications

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“…Figure 14 shows the variation of the induced AV voltages along the pipeline length as RMS values. It can be observed that the "V"-shaped curve as reported in several literature studies [3,17,[23][24][25][26], with the highest induced RMS voltage values recorded at right-of-way ends. It must be mentioned that at each time moment, the pipeline has opposite electrical potential at its end as in Figure 13 can be noticed.…”

Section: Tablementioning

confidence: 60%

“…As shown in some previous works, such as [16][17][18], the inductive influence from 50 Hz or 60 Hz electric power systems on pipeline networks is related to the timevarying magnetic field generated by the electric currents flowing in power lines conductors. The main parameters generally considered for this type of influence are the electric power system's current load level, the ground wire current, the exposure length, the separation distance between involved structures of both systems, and the soil model resistivity [19,20].…”

Section: Inductive Couplingmentioning

confidence: 90%

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Evaluation of Electromagnetic Interferences Affecting Metallic Pipelines

Şteţ¹,

Czumbil²,

Micu³

2023

Pipeline Engineering - Design, Failure, and Management

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This chapter presents some analysis of the modeling techniques used to evaluate the effects of electromagnetic interference phenomena that could occur when metallic pipelines are placed close to high-voltage power lines. The electric and magnetic fields produced by overhead power lines could perturb the normal operation of the metallic pipelines through induced currents and voltages. These perturbations could be dangerous for both pipeline operating personnel (as electrical hazard) and pipeline structural integrity (due to accelerated electrochemical corrosion phenomena). The chapter depicts the electromagnetic coupling mechanisms behind the abovementioned interference phenomena and how the induced voltages could be evaluated. A parametric analysis is showcased to highlight the influence of various geometrical and electrical parameters.

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Section: Tablementioning

confidence: 60%

Section: Inductive Couplingmentioning

confidence: 90%

Evaluation of Electromagnetic Interferences Affecting Metallic Pipelines

Şteţ¹,

Czumbil²,

Micu³

2023

Pipeline Engineering - Design, Failure, and Management

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show abstract

“…The corrosion phenomenon represents the most important concerns that affect the lifetime of buried pipelines. Besides, the corrosion rate may accelerate if the electromagnetic interference between the neighbouring transmission line and the pipeline exists [1]. Many mechanisms illustrate the effect of the interference on the buried pipeline outcomes that induced voltage on it.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of electrical hazards on the metallic pipelines due to the HVOHTLs based on different intelligent controllers

Al‐Gabalawy

Mostafa

Hamza

2020

IET Science, Measurement &Amp; Technology

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Many catastrophes may occur due to the interference between the metallic pipeline and the high voltage overhead transmission lines (HVOHTLs). These problems exist due to the neighbouring between the HVOHTLs and the other infrastructures. Many types of research cover cathodic protection points, detailed description for the production of the AC voltage, and preliminary mitigation ways. Mainly potassium hydroxide-polarisation cells (KOH-PCs) have been applied to discharge this voltage to the soil. Based on the KOH-PCs electrical model introduced previously, this study investigates a novel mitigation technique, where the discharged AC voltage converts to DC voltage that is proper for the cathodic protection for the metallic pipelines. An integrated system consists of power electronic circuits and distributed intelligent controllers designed to discharge the AC induced voltage and use in the cathodic protection for the pipelines. Different controllers such as the artificial neural network, a fuzzy logic controller, and adaptive neuro-fuzzy inference system controllers have been implemented. Two key performance indicators have been investigated to show the superiority of these controllers, where the total discharged energy per annum DE year from the pipeline to the soil, and the total saved per year SE year .

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“…Therefore, high voltage OHLs are constructed with the shared transmission and distribution corridors for water, gas, and oil pipelines. When pipelines are located in shared right-of-way (RoW) with high voltage OHLs, the neighboring pipelines would suffer from very high induced currents and voltages, due to the electromagnetic interference (EMI) effects generated by high voltage OHLs [4].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Metallic Conductor Voltage Owing to Electromagnetic Coupling Via a Hybrid ANFIS and Backtracking Search Algorithm

et al. 2019

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The electromagnetic interference (EMI) generated by high voltage power systems can cause a serious problem for nearby electrically conductive structures, such as railroads, communication lines, or pipelines, that would place a system’s integrity and the operational safety of the structure at high level of risk. According to the IEEE standard-80, by implementing a well-designed mitigation system, the induced voltage on neighboring electrically conductive structure can reach a harmless level. The mitigation system can enhance the overall integrity of pipelines and provide higher operation safety for personal during working on the exposed parts of metallic pipelines or conductive appurtenances. An accurate prediction about the level of induced voltage is absolutely necessary to design a suitable mitigation system for metallic pipelines. Thus, in this work a hybrid prediction methodology composed of an adaptive neuro-fuzzy inference system (ANFIS) and a backtracking search algorithm (BSA) is developed to accurately predict the electromagnetic inference’s effects on metallic pipelines with shared right-of-way (RoW) and high voltage overhead lines (OHLs). Through the combination of BSA as a robust and efficient optimization algorithm in the learning process of an ANFIS approach, a hybrid data mining algorithm has been developed to predict the induced voltage on mitigated and unmitigated pipelines more accurately and reliably. The simulation results are validated by data sets observed from the Current Distribution, Electromagnetic Interference, Grounding and Soil Structure Analysis (CDEGS) software. From the simulation results it was confirmed that the proposed hybrid method is effective in accurately predicting the induced voltage on pipelines with changing system parameters. Furthermore, to evaluate the precision and applicability of the developed approach in this paper, its estimates are compared with the results obtained from an artificial neural network (ANN), a support vector regression (SVR) and an ANFIS optimized by other well-known optimization algorithms. The obtained results indicate higher accuracy of the developed hybrid method over other artificial intelligence based approaches.

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Different approaches in calculating AC inductive interference from power lines on pipelines

Cited by 11 publications

References 15 publications

Evaluation of Electromagnetic Interferences Affecting Metallic Pipelines

Evaluation of Electromagnetic Interferences Affecting Metallic Pipelines

Mitigation of electrical hazards on the metallic pipelines due to the HVOHTLs based on different intelligent controllers

Prediction of Metallic Conductor Voltage Owing to Electromagnetic Coupling Via a Hybrid ANFIS and Backtracking Search Algorithm

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