Multi-frequency sweeping method for periodic steady-state computations on the graphics processor unit

Morales-Aguilar, Eric; Ramirez, Abner; Matar, Mahmoud

doi:10.1016/j.epsr.2014.11.009

Cited by 2 publications

(1 citation statement)

References 29 publications

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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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