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Distributed real-time simulation allows the sharing of simulator equipment and components connected in Hardware-In-the-Loop experiments. In this paper, we analyze the challenges of geographically distributed real-time power system simulation and how dynamic phasors could be applied to improve the accuracy of the simulation results for large time steps. The time step is of particular interest since...
A new prediction model is proposed in transient stability analysis based on machine learning in this paper. It extracts features ahead from the time point that we want to make prediction, which produce an interval to take actions. The proposed model also takes network information into consideration, and tried to analyze how nodes in power grid influence each other. Compared to traditional algorithms...
With the technology of "Internet plus" gradually penetrating the energy industry, the fusion of smart grid and other energy network is now forming, which will create a new generation of high-efficiently energy utilization system called energy internet. And its complex coupling between energy flow and information flow is being to a cyber-physical system that possesses new features, i.e.,...
A hybrid simulation/measurement-based framework for online dynamic security assessment (DSA) is proposed in this work. It combines the strengths and features of simulation-based and measurement-based approaches to develop a tool that integrates the results and provides real-time situational awareness on available operating margins against major stability problems. High performance computing capability...
This paper studies on mine the image semantic information through Non-negative Matrix Factorization, which is a powerful computing tools in many applications. Non-negative matrix factorization is a low-rank matrix approximation method for finding two low-rank nonnegative matrices and the product of which can provide a good approximation to the original non-negative matrix. Firstly, a multimodal training...
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