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Konstantis Daloukas
The on-chip power delivery network constitutes a vital subsystem of modern nanometer-scale integrated circuits, since it affects in a critical way the performance and correct operation of the devices. As technology scaling enters in the nanometer regime, there is an increasing need for accurate and efficient analysis of the power delivery network. The impact of […]
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Jayanta Kumar Debnath, Wai-Keung Fung, Aniruddha M. Gole, Shaahin Filizadeh
In this paper electromagnetic transient (EMT) simulation of large scale power systems using graphics processing unit (GPU) based computing is demonstrated. As the size of power system networks increases, the simulation time using conventional central processing units (CPUs) based simulation increases drastically. This paper proposes a hybrid CPU-GPU environment for fast large scale power systems […]
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Yizheng Liao
This major qualifying project investigates the algorithm and the performance of using the CUDA-based Graphics Processing Unit for power flow analysis. The accomplished work includes the design, implementation and testing of the power flow solver. Comprehensive analysis shows that the execution time of the parallel algorithm outperforms that of the sequential algorithm by several factors.
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Amirhassan Asgari Kamiabad
The research conducted in this thesis provides a robust implementation of a preconditioned iterative linear solver on programmable graphic processing units (GPUs). Solving a large, sparse linear system is the most computationally demanding part of many widely used power system analysis. This thesis presents a detailed study of iterative linear solvers with a focus on […]
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Javier Novo Rodriguez, Mariano Cabrero Canosa, Elena Hernandez Pereira
Modern graphic cards enable applications to process big amounts of graphical data faster than CPUs, allowing high-volume parallelizable data to be visualized in real-time. In this paper, we present an approach to enable a power grid planning Computer-Aided-Design application to use this processing power to visualize electrical distribution grids in the fastest possible way. As […]
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Anupam Gopal
This thesis explores the possibility of mapping power flow algorithms on a graphics processor. In particular we demonstrate the implementation of DC power flow based contingency analysis on a graphic processing unit (GPU). GPU’s are SIMD processors with highly streamlined architecture to support rendering of graphic images on the computer screen. However, in the recent […]
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Anupam Gopal, Dagmar Niebur, Suresh Venkatasubramanian
Graphic processing units (GPUs) are single instruction, multiple data processors which have become an integral part of modern high-end video cards installed on a general purpose PCs. This paper investigates the parallel implementation of DC power flow based contingency analysis on graphic processing units. Results for the IEEE standard test systems show a speed-up of […]
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Vahid Jalili-Marandi, Venkata Dinavahi
Graphics processing units (GPUs) have recently attracted a lot of interest in several fields struggling with massively large computation tasks. The application of a GPU for fast and accurate transient stability simulation of the large-scale power systems is presented in this paper. The computationally intensive parts of the simulation were offloaded to the GPU to […]
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Jean-Charles Tournier, Vaibhav Donde, Zhao Li
This paper investigates the potential of General Purpose Graphic Processing Unit (GPGPU) for the serve rand HMI parts of Energy Management System (EMS). TheHMI investigation focuses on the applicability and performance improvement of GPGPU for scattered data interpolation algorithms typically used to visually represent the overall state of a power network. The server side investigation […]
Ting He, ZhaoYang Dong, Ke Meng, Hua Wang, Y.T. Oh
Load forecasting plays a vitally important role in the operation and planning of the power system in a deregulated electricity market. A large variety of methods have been proposed for load forecasting. In this paper, we introduce the Graphics Processing Units (GPU) based computing to accelerate the short term load forecasting with multi-layer perceptron (MLP). […]
Vahid Jalili-Marandi, Venkata Dinavahi
This paper presents a single-instruction-multiple-data (SIMD) based implementation of the transient stability simulation on the Graphics Processing Unit (GPU). Two programming models to implement the standard method of the transient stability simulation are proposed and implemented on a single GPU. In the first model the CPU is responsible for part of the simulation, while the […]

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