Optimization Design of Grounding System Substation With Multilayer Soil Model

Dinzi, Riswan; Hutauruk, Youki; Siregar, Yulianta; Mubarakah, Naemah; Sinulingga, Emerson P.

doi:10.1109/elticom57747.2022.10038038

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Notably, several commercial programs feature comprehensive modelling capabilities regarding electrical interference on pipelines (and grounding systems), often allowing one to perform studies using circuit and electromagnetic field theory models. Examples of such computer programs include CDEGS [24], which originated from the seminal modelling works of Dawalibi and colleagues [25], Elsyca [26,27] and XGSLAB [28,29]. Table 1 summarizes the calculation methodologies employed in the above-discussed works.…”

Section: Introductionmentioning

confidence: 99%

Assessment of AC Corrosion Probability in Buried Pipelines with a FEM-Assisted Stochastic Approach

Lucca¹,

Sandrolini

Popoli

et al. 2023

Applied Sciences

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In this paper, a stochastic approach is combined with field theory and circuit methods to study how the geometrical and electrical properties of holidays (defects or pores in the insulating coating) in a metallic pipeline influence the probability of exceeding the current density limit for corrosion. Three-dimensional FEM simulations are conducted to assess the influence of the shape and electrical resistivity of the pore on the computed spread resistance value. The obtained results are then used to evaluate the probability of exceeding a given current density value for different sizes of pore and soil resistivities. Finally, a case of 50 Hz interference along a pipeline-transmission line routing is examined. The probabilistic approach presented in this paper allows the pipeline sections more subjected to the induced AC corrosion risk to be identified to be used as an auxiliary tool for adopting preventive protection countermeasures. Lastly, unlike most papers devoted to assessing electromagnetic interference on pipelines, the present work uses a probabilistic rather than a deterministic approach, representing its main novelty aspect.

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Section: Introductionmentioning

confidence: 99%

Assessment of AC Corrosion Probability in Buried Pipelines with a FEM-Assisted Stochastic Approach

Lucca¹,

Sandrolini

Popoli

et al. 2023

Applied Sciences

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Evaluation of the optimum safety performance of the nuclear reactor compact grounding system under lightning strikes and ground fault

Adail,

Saad,

Said

2023

Kerntechnik

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The electrical system of a nuclear reactor facility (NRF) must incorporate a grounding grid in order to ensure it functions safely and reliably. Any disturbance in the electrical system affects the nuclear process, so it is, therefore, crucial to estimate the safety performance of the research nuclear reactor facility grounding system. The paper discusses CYMGrd 6.3, which is based on IEEE Standard 80-2013, and the optimization approaches for finding the best grounding grid design for a nuclear reactor facility connected substation of 500/11 kV in the case of a ground fault and lightning strikes. The result shows that the surface, step and touch potentials along the diagonal coordinates of the proposed grounding grid are below the safety limits in case of a ground fault but also results indicate that 100 kA lightning stroke poses a considerable threat to reactor equipment and personnel safety because the measured grid surface potential exceeds the safe ground potential rise of 3.2 kV standard at the striking point in conjunction with the proposed ground grid, so it must be modified. In this paper, three different optimization algorithms are investigated in order to determine the optimal design of the grounding grid with respect to mesh size: gradient method (GM), the genetic algorithm (GA), and simulated annealing (SA). These methods are used to achieve the purpose of obtaining an effective ground grid design. Comparing these techniques of GM and SA is good for quickly locating local minima, but they may fail to identify global solutions. In contrast, a genetic algorithm is often excellent at achieving a global minimum. Also, the utilization of GA, SA, and GM achieve the reduction of the surface potential of a proposed grounding grid by 16 %, 10 %, and 6 % respectively.

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Optimization Design of Grounding System Substation With Multilayer Soil Model

Cited by 2 publications

References 6 publications

Assessment of AC Corrosion Probability in Buried Pipelines with a FEM-Assisted Stochastic Approach

Assessment of AC Corrosion Probability in Buried Pipelines with a FEM-Assisted Stochastic Approach

Evaluation of the optimum safety performance of the nuclear reactor compact grounding system under lightning strikes and ground fault

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