Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

DeLeon, Rey; Felzien, Kyle; Şenocak, İnanç

doi:10.1115/fedsm2012-72145

Cited by 10 publications

(5 citation statements)

References 25 publications

(37 reference statements)

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“…The use of a multi-GPU accelerated solver was critical to the success of our study. Instead of using a commercially available general-purpose computational fluid dynamics solver, we carefully selected our numerical methods and parameterizations to develop a fast wind solver, which was a multi-year effort with multiple developers [32,33,34,35,36]. The hardware-oriented design of our numerical solver -combined with the superior computing power of GPUsenabled us to accommodate spatial and temporal resolutions that are much finer than the current practice for complex terrain wind simulations.…”

Section: Discussionmentioning

confidence: 99%

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Dynamic rating of overhead transmission lines over complex terrain using a large-eddy simulation paradigm

2017

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Dynamic Line Rating (DLR) enables rating of power line conductors using realtime weather conditions. Conductors are typically operated based on a conservative static rating that assumes worst case weather conditions to avoid line sagging to unsafe levels. Static ratings can cause unnecessary congestion on transmission lines. To address this potential issue, a simulation-based dynamic line rating approach is applied to an area with moderately complex terrain. A micro-scale wind solver-accelerated on multiple graphics processing units (GPUs)-is deployed to compute wind speed and direction in the vicinity of powerlines. The wind solver adopts the large-eddy simulation technique and the immersed boundary method with fine spatial resolutions to improve the accuracy of wind field predictions. Statistical analysis of simulated winds compare favorably against wind data collected at multiple weather stations across the testbed area. The simulation data is then used to compute excess transmission capacity that may not be utilized because of a static rating practice. Our results show that the present multi-GPU accelerated simulation-based approach-supported with transient calculation of conductor temperature with high-order schemes-could be used as a non-intrusive smart-grid technology to increase transmission capacity on existing lines.

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Section: Discussionmentioning

confidence: 99%

“…The speedup is based of the Euler calculation with a time step of 1s. GIN3D[32,33,34,35,36], as an improved solution for wind modeling over complex terrain. Depending on the mesh size, GIN3D has the potential compute winds over arbitrarily complex terrain faster than real-time.…”

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confidence: 99%

Dynamic rating of overhead transmission lines over complex terrain using a large-eddy simulation paradigm

2017

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“…Renewable energy integration is the next application where GPU architecture is widely used refs. [1,[178][179][180][181][182][183][184][185][186][187][188][189][190]. GPU has been used for solar potential estimation using light detection and ranging data [179] and for solving the OPF problem, including uncertainties from renewable generators [1].…”

Section: Renewable Energy Integrationmentioning

confidence: 99%

A Review of Parallel Heterogeneous Computing Algorithms in Power Systems

et al. 2021

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The power system expansion and the integration of technologies, such as renewable generation, distributed generation, high voltage direct current, and energy storage, have made power system simulation challenging in multiple applications. The current computing platforms employed for planning, operation, studies, visualization, and the analysis of power systems are reaching their operational limit since the complexity and size of modern power systems results in long simulation times and high computational demand. Time reductions in simulation and analysis lead to the better and further optimized performance of power systems. Heterogeneous computing—where different processing units interact—has shown that power system applications can take advantage of the unique strengths of each type of processing unit, such as central processing units, graphics processing units, and field-programmable gate arrays interacting in on-premise or cloud environments. Parallel Heterogeneous Computing appears as an alternative to reduce simulation times by optimizing multitask execution in parallel computing architectures with different processing units working together. This paper presents a review of Parallel Heterogeneous Computing techniques, how these techniques have been applied in a wide variety of power system applications, how they help reduce the computational time of modern power system simulation and analysis, and the current tendency regarding each application. We present a wide variety of approaches classified by technique and application.

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“…When local weather conditions are available in near real-time, a transient calculation allows us to more accurately calculate conductor temperature, especially during times of rapidly changing weather conditions. Additionally, we investigate the applicability of a GPU-accelerated wind forecasting approach [10][11][12] to predict wind conditions along the path of transmission lines. It's expected that a transient calculation approach will give a more accurate representation of conductor temperature, which could enable TSPs to transfer wind farm generation more efficiently and reliable.…”

Section: Introductionmentioning

confidence: 99%

Investigation of a Dynamic Power Line Rating Concept for Improved Wind Energy Integration Over Complex Terrain

Phillips

Şenocak

Gentle

et al. 2014

Volume 1D, Symposia: Transport Phenomena in Mixing; Turbulent Flows; Urban Fluid Mechanics; Fluid Dynamic Behavior of Complex P

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Dynamic Line Rating (DLR) is a smart grid technology that allows the rating of power line conductor to be based on its real-time temperature. Currently, conductors are generally given a conservative static rating based on near worst case weather conditions. Using historical weather data collected over a test bed area in Idaho, we demonstrate there is often additional transmission capacity not being utilized under the current static rating practice. We investigate a DLR method that employs computational fluid dynamics (CFD) to determine wind conditions along transmission lines in dense intervals. Simulated wind conditions are then used to calculate real-time conductor temperature under changing weather conditions. In calculating the conductor temperature and then inferring the ampacity, we use both a steady-state and transient calculation procedure. Under low wind conditions, the steady-state assumption predicts higher conductor temperatures which could lead to unnecessary curtailments, whereas the transient calculations produce temperatures that can be significantly lower, implying the availability of additional transmission capacity. Equally important, we demonstrate that capturing the wind direction variability in the simulations is critical in estimating conductor temperatures accurately

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Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

Cited by 10 publications

References 25 publications

Dynamic rating of overhead transmission lines over complex terrain using a large-eddy simulation paradigm

Dynamic rating of overhead transmission lines over complex terrain using a large-eddy simulation paradigm

A Review of Parallel Heterogeneous Computing Algorithms in Power Systems

Investigation of a Dynamic Power Line Rating Concept for Improved Wind Energy Integration Over Complex Terrain

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