Pei Sun

Pingliang People's Hospital

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Roger Grimshaw

University College London

Shouzun Wu

Pingliang People's Hospital

Tang Shimin

Peking University

Lina Chen

Tan Kah Kee Innovation Laboratory

Shu Lun Zhang

Dalian University of Technology

Jing Zhao

Shenyang University of Technology

Qin Sudi

Nanjing Library

Xinyu He

China Jiliang University

Xin Zhang

Zhejiang University

Wan li Cheng

Dalian University of Technology

Cooperative Institutions

Dalian University of Technology

Inner Mongolia University of Science and Technology

UNSW Sydney

Pingliang People's Hospital

Peking University

University of Cambridge

Tan Kah Kee Innovation Laboratory

Xiamen University

Nanjing University of Posts and Telecommunications

University of Electronic Science and Technology of China

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Gas-Electric Power Coupling Simulation Method for Integrated Energy System Based on Improved MCMC

2022 4th International Conference on Power and Energy Technology (ICPET) (2023)

Pei Sun Shouzun Wu Lina Chen Mingming Yao Shixing Zhang

The construction, operation and evaluation of an integrated energy system (IES) requires a large sample of data. However, the data generated by traditional Markov chain Monte Carlo (MCMC) simulation is random timing. Traditional MCMC simulation is difficult to ensure the coupling of gas and electric power data timing matching. A gas-electric IES power coupling simulation method based on improved MCMC is proposed in this paper. Firstly, the K-means method based on Dunn Validity Index is used to cluster the two-dimensional data of gas and electric energy. Secondly, two-dimensional state transfer matrix for various types of gas and electric energy is constructed, and the transfer matrix is coded in reduced dimensions. Then, Fitting the duration of the state matrix by inverse Gaussian distribution and a large amount of transition state is generated. By dimension-up coding and superimposing random fluctuation components, a large number of gas-electric power data with fluctuation characteristics of original data are generated. Finally, the coupled data simulation evaluation index is established, and a large number of actual data are used to evaluate the fitting data. The effectiveness of the algorithm is verified.

10.1109/icpet59380.2023.10367559

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Analytical and Numerical Study of a Barotropic Eddy on a Topographic Slope

Journal of Physical Oceanography (1994)

Roger Grimshaw Xinyu He Pei Sun Dave Broutman

Using the nondivergent barotropic equation on an f plane, the evolution of an eddy placed on a topographic slope is studied. The theoretical analysis is in two pans. First, using the linearized equations appropriate for weak eddies it is shown that the eddy will disperse into propagating coastally trapped waves. Second, using the conservation of potential vorticity, a theory is developed to describe the initial movement of the eddy. A set of numerical results that generally confirm the theoretical predictions is then described. Finally, the authors' model is compared with experimental results obtained by Carnevale and coauthors.

Barotropic fluid

Eddy

10.1175/1520-0485(1994)024<1587:aansoa>2.0.co;2

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Citations (33)

The generation of edge waves by radiation stress

Continental Shelf Research (1993)

Roger Grimshaw Pei Sun Qin Sudi Tang Shimin

Forcing (mathematics)

Envelope (radar)

Wind Stress

Microseism

Free surface

10.1016/0278-4343(93)90027-u

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Citations (1)

Target-oriented wavefield-based tomography by modulated illumination

Pei Sun Shu Lun Zhang Jing Zhao Wan li Cheng

We present a target-oriented wavefield-based tomography for velocity model building. The input data are generated by modulated illumination. This illumination method is based on the controlled illumination technique. It uses modulated sources to generate the minimal dataset containing all the useful information for velocity updating. With the minimal dataset, the wavefield-based tomography is faster than those with plane wave sources. In our target-oriented wavefield-based tomography, the velocity model is updated automatically by minimizing the objective function. The objective function measures both the energy focusing in the offset-domain Common Image Gathers (CIGs) and the zero-offset image power. To effectively avoid unreasonable velocities, we impose constraints on velocity model with a transform method. We will show the test results of our wavefield-based tomography on Marmousi model and a real dataset from South Sea (China).

10.1190/segam2013-0095.1

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