Efficient Transient Stability Analysis of Electrical Power System Based on a Spatially Paralleled Hybrid Approach

Xia, Shiwei; Bu, Siqi; Hu, Junjie; Bao, Hong; Guo, Zhishan; Zhang, Dongying

doi:10.1109/tii.2018.2844298

Cited by 14 publications

(2 citation statements)

References 22 publications

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“…The exchange of information between various control levels is also included. Some energy management techniques applied in NG have been summarized in (Bin Mohamad Saifuddin et al, 2019;Xia et al, 2019a;Bampoulas and Karlis, 2020;Salazar et al, 2020).…”

Section: Structure and Components Of Dcngmentioning

confidence: 99%

Review of Control Strategies for DC Nano-Grid

2021

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As an emerging energy management technology, the DC nano-grid coordinates renewable energy sources output through demand-side management which would provide more options and flexibility for the dispatch of smart buildings and communities with high reliability and efficiency. In this context, this article has analyzed the structure and components of the DC nano-grid. The role and components in DC nano-grid are reviewed in this article. Then the crucial control technologies for the DC nano-grid in recent years are investigated from two aspects: local control and coordinated control, which contains control schemes such as voltage/current control technology, power-sharing technology and cooperative control technology. Different control strategies at various levels are compared and their application scenarios, advantages and disadvantages are also analyzed. The current research progress and challenges are summarized at the end of this article.

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Section: Structure and Components Of Dcngmentioning

confidence: 99%

Review of Control Strategies for DC Nano-Grid

2021

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“…The research demonstrated a ~33% improvement in the parallel fine steps execution time between the hybrid method proposed and only PRA. A new approach was proposed to perform TSA in [29], which is a spatially parallel hybrid approach combining the high-order Taylor series and the block bordered diagonal form (BBDF) to reduce the computational burden of TSA. They propose using only the higher-order derivatives of generator voltages and currents along with large integration time steps to perform TSA.…”

Section: Introductionmentioning

confidence: 99%

Graphical Processing Unit Based Time-Parallel Numerical Method for Ordinary Differential Equations

Lakshmiranganatha¹,

Muknahallipatna²

2020

JCC

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On-line transient stability analysis of a power grid is crucial in determining whether the power grid will traverse to a steady state stable operating point after a disturbance. The transient stability analysis involves computing the solutions of the algebraic equations modeling the grid network and the ordinary differential equations modeling the dynamics of the electrical components like synchronous generators, exciters, governors, etc., of the grid in near real-time. In this research, we investigate the use of time-parallel approach in particular the Parareal algorithm implementation on Graphical Processing Unit using Compute Unified Device Architecture to compute solutions of ordinary differential equations. The numerical solution accuracy and computation time of the Parareal algorithm executing on the GPU are demonstrated on the single machine infinite bus test system. Two types of dynamic model of the single synchronous generator namely the classical and detailed models are studied. The numerical solutions of the ordinary differential equations computed by the Parareal algorithm are compared to that computed using the modified Euler's method demonstrating the accuracy of the Parareal algorithm executing on GPU. Simulations are performed with varying numerical integration time steps, and the suitability of Parareal algorithm in computing near real-time solutions of ordinary different equations is presented. A speedup of 25× and 31× is achieved with the Parareal algorithm for classical and detailed dynamic models of the synchronous generator respectively compared to the sequential modified Euler's method. The weak scaling efficiency of the Parareal algorithm when required to solve a large number of ordinary differential equations at each time step due to the increase in sequential computations and associated memory transfer latency between the CPU and GPU is discussed.

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An optimized algorithm for optimal power flow based on deep learning

Khan

et al. 2021

Energy Reports

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Efficient Transient Stability Analysis of Electrical Power System Based on a Spatially Paralleled Hybrid Approach

Cited by 14 publications

References 22 publications

Review of Control Strategies for DC Nano-Grid

Review of Control Strategies for DC Nano-Grid

Graphical Processing Unit Based Time-Parallel Numerical Method for Ordinary Differential Equations

An optimized algorithm for optimal power flow based on deep learning

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