Evaluation of Ground Potential Rises in a Commercial Building During a Direct Lightning Stroke Using CDEGS

Lee, Chien-Hsing; Chang, Chia Chin; Jiang, Joe-Air

doi:10.1109/tia.2015.2399618

Cited by 28 publications

(19 citation statements)

References 16 publications

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“…The performance of the proposed hybrid approach was examined attentively in comparison with the results from ANN, and SVR and ANFIS models optimized by two other robust and efficient metaheuristic optimization algorithms; namely, the cuckoo search optimization algorithm (CSA) and the particle swarm optimization (PSO) algorithm. Moreover, the obtained results are further validated by the observed data from the Current Distribution, Electromagnetic Interference, Grounding and Soil Structure Analysis (CDEGS) program developed by Safe Engineering Services & technologies (SES) company [32].…”

Section: Literate Reviewmentioning

confidence: 66%

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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Section: Literate Reviewmentioning

confidence: 66%

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

et al. 2019

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“…1) Effectiveness of air-termination system: The purpose of an air-termination system is to protect the WTGs from direct lightning strikes [9]. As the lightning strikes are uncontrolled, an effective air-termination system is required to safeguard the WTG.…”

Section: A Effectiveness Of External Lightning Protection Systemmentioning

confidence: 99%

“…The parameters of LPL are based on the lightning discharge current parameters which have a critical role in LPSs [8]. A lightning protection system consists of an external LPS, an internal LPS, and the grounding system [9].…”

Section: Introductionmentioning

confidence: 99%

Factors Determining the Effectiveness of a Wind Turbine Generator Lightning Protection System

Deshagoni

Auditore²,

Rayudu

et al. 2019

IEEE Trans. on Ind. Applicat.

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As a result of the growing supply and demand for wind power, wind turbine generators are increasingly being installed at sub-optimal sites that have high soil resistivity and high incidence of lightning strikes. This means that lightning protection systems for wind turbines are becoming a critical component of wind farm design. Not only do effective lightning protection systems ensure the safety of the physical wind turbine structure and human operators, they also protect the electrical and control systems installed inside wind turbine generators and safeguard the lives of human operators. This work presents a framework to assess the effectiveness of wind turbine lightning protection systems at the wind farm design phase. Performing the analysis at this early stage reduces lightning-induced downtime, which leads to increased energy yield. Our results show that the grounding system plays a critical role in the wind turbine lightning protection system. For this reason we also analyse various influential parameters of a grounding system design. We present results from full-wave electromagnetic simulations of the complete wind turbine grounding system, including the foundation.

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“…However, in the past, except [4], simulation models were limited. Recently, new simulation models for analysing and design purpose are proposed [5][6][7][8][9].…”

Section: Description Of Protective Structuresmentioning

confidence: 99%

Lightning surge analysis of Faraday cage using alternative transient program‐electromagnetic transients program

Mamiş

Keles

Arkan

et al. 2016

IET Generation, Transmission & Distribution

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Evaluation of Ground Potential Rises in a Commercial Building During a Direct Lightning Stroke Using CDEGS

Cited by 28 publications

References 16 publications

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

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

Factors Determining the Effectiveness of a Wind Turbine Generator Lightning Protection System

Lightning surge analysis of Faraday cage using alternative transient program‐electromagnetic transients program

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