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Real-time Energy Management of Low-carbon Ship Microgrid Based on Data-driven Stochastic Model Predictive Control

CSEE Journal of Power and Energy systems 2023年第4期9卷 1482-1492页

作者： Hui Hou Ming Gan Xixiu Wu Kun Xie Zeyang Fan Changjun Xie Ying Shi Liang Huang the School of Automation Wuhan University of TechnologyWuhan 430070China the Shenzhen Research Institute Wuhan University of TechnologyShenzhen 518000China China Ship Development and Design Center Wuhan 430064China. Key Laboratory of Marine Intelligent Equipment and System Shanghai Jiao Tong UniversityShanghai 200240China the China Ship Development and Design Center Wuhan 430064China.

With increasing restrictions on ship carbon emis-sions,it has become a trend for ships to use zero-carbon energy such as solar to replace traditional fossil ***,uncer-tainties of solar energy and load affect safe and stable operation of the ship *** order to deal with uncertainties and real-time requirements and promote application of ship zero-carbon energy,we propose a real-time energy management strategy based on data-driven stochastic model predictive ***,we establish a ship photovoltaic and load scenario set consid-ering time-sequential correlation of prediction error through three *** steps include probability prediction,equal probability inverse transformation scenario set generation,and simultaneous backward method scenario set ***,combined with scenario prediction information and rolling op-timization feedback correction,we propose a stochastic model predictive control energy management *** each scenario,the proposed strategy has the lowest expected operational cost of control ***,we train the random forest machine learn-ing regression algorithm to carry out multivariable regression on samples generated by running the stochastic model predictive ***,a low-carbon ship microgrid with photovoltaic is *** results demonstrate the proposed strategy can achieve both real-time application of the strategy,as well as operational cost and carbon emission optimization performance close to stochastic model predictive *** Terms-Data-driven stochastic model predictive control,low-carbon ship microgrid,machine learning,real-time energy management,time-sequential correlation.

关键词： Data-driven stochastic model predictive control low-carbon ship microgrid machine learning real-time energy management time-sequential correlation.

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Parameter estimation of regulators in Tian-Guang HVDC transmission system based on PSCAD/EMTDC

Parameter estimation of regulators in Tian-Guang HVDC transm...

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International Conference on Power system technology, PowerCon 2002

作者： Jing, Yong Ren, Zhen Ou, Kaijian Yu, Jun Electric Power College South China University of Technology Guangzhou China Power System Simulation Center Electric Power Research Institute Beijing China

ISBN: (纸本)0780374592

The ±500 kV bipolar, direct current Tian-Guang HVDC transmission system with a rating of 1800 MW was been put into operation by the middle of 2001. Constant current regulator, constant voltage regulator and constant extinction-angle regulator are three basic regulators which determine the regulative performance of the HVDC transmission system. They are all PI regulators in Tian-Guang HVDC transmission system. The parameters of three PI regulators, i.e. gain Kp and time constant Tn have a notable effect on the their characteristics, so the parameter estimations of these regulators are very necessary. This paper points out that PSCAD/EMTDC is an excellent software for parameter estimation of the regulators in an HVDC transmission system. Based on this software, the parameters of three basic regulators in Tian-Guang HVDC transmission system are estimated. The results of the estimation which are presented in this paper are able to meet the requirements of project technique criterion. © 2002 IEEE.

关键词： Parameter estimation

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Intelligent tutoring in the wild: Leveraging mobile app technology to guide live training 8

Intelligent tutoring in the wild: Leveraging mobile app tech...

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8th International Defense and Homeland Security simulation Workshop, DHSS 2018

作者： Goldberg, Benjamin Roberts, Nicholas Gabe Powell, W. Burmester, Elyse Natick Soldier Research and Development Center Simulation and Training Technology Center United States Dignitas Technologies United States United States Military Academy United States

ISBN: (纸本)9788885741133

Mobile computing technologies are extending how people can interact with educational and training content in a whole new way. Through high resolution displays, intuitive user interfacing, embedded sensing technologies, and well supported app development communities, there is a plethora of content that can be used to build effective materials that target knowledge and skill development. To truly enhance this new training paradigm, extending Intelligent Tutoring system (ITS) to support mobile interactions can provide a new means to managing training in a rich contextualized environment. In this instance, learning takes place in the natural environment where directed experiences focus on the elements surrounding one's location. In this paper, we describe the development of a new mobile ITS application using the Generalized Intelligent Framework for Tutoring (GIFT;Sottilare, Goldberg, Brawner & Holden, 2012). The domain of land navigation was applied as a use case, with direct support for the United States Military Academy at West Point. We describe the training concept, how GIFT was extended to support this concept from an architectural and assessment standpoint, along with implementation plans for an initial training effectiveness study. © 2018 2018 Dime università di Genova, dimeg university of calabria.

关键词： Decision support systems

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Design method with controllable velocity direction at throat for inward-turning inlets

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Chinese Journal of Aeronautics 2019年第6期32卷 1403-1415页

作者： Wenyou QIAO Anyuan YU Wei GAO Weixing WANG Research Center of Combustion Aerodynamics Southwest University of Science and TechnologyMianyang 621010China Jiangsu Province Key Laboratory of Aerospace Power System Nanjing 210016China Science and Technology on Scramjet Laboratory of Hypervelocity Aerodynamics Institute China Aerodynamics Research and Development CenterMianyang 621000China College of Energy and Power Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China

In the design of a hypersonic inward-turning inlet by applying the traditional basic flowfield, a reflected shock-wave is formed in the isolator due to the continuous reflection of the cowlreflected shock wave in the basic flow-field, which interacts with the boundary layer to produce a considerable influence on the performance of the inlet. Here, a basic flow-field design method that can control the velocity direction at the throat section is developed, and numerical simulations are conducted to demonstrate the effectiveness of this method. The method presented in this paper can achieve the absorption of the reflected waves at the shoulder of the basic flow-field by adjusting the variation law of the center radius in the basic flow-field, and a smooth transition between the compression surface and the isolator can also be produced. The Mach number and total pressure recovery coefficient of the inlet designed according to this method are 3.00 and 0.657, respectively, at design point(the incoming flow Mach number Ma1= 6.0). The results show that with this method, the inlet can efficiently weaken both the reflection of the shock wave and the interaction between the boundary layer and the reflected shock waves, which improves the aerodynamic performance of the inlet.

关键词： Hypersonic Inverse design Inward-turning inlet Method of characteristic Shock wave

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A Study on Power system Planning Method for Reliable and Economical Facility Formation

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IEEJ Transactions on Power and Energy 2022年第3期142卷 161-168页

作者： Okamoto, Yoshihisa Nishimura, Daiki Tada, Yasuyuki Center for Technology Innovation – Societal System Engineering Research & Development Group Hitachi Ltd. 292 Yoshida-cho Totsuka-ku Yokohama244-0817 Japan Center for Technology Innovation – Societal System Engineering Research & Development Group Hitachi Ltd. 7-1-1 Omika-cho Hitachi319-1292 Japan Control System Platform Division Services & Platforms Business Unit Hitachi Ltd. 6-27-18 Minamioi Shinagawa-ku Tokyo140-8572 Japan

In Japan, power transmission facilities which were introduced in the high economic growth period have degraded with age. Due to simultaneous lifetime of the facilities, it is concerned that reliability degradation of power system. On the other hand, electricity demand has decreased triggered by the Great East Japan Earthquake, and wheeling revenue of electricity transmission utilities has decreased in recent years. Therefore, highly reliable and economical facility planning is an important business issue of electricity transmission utilities. In this paper, we propose a facility planning method that models power system topology change according to environmental changes and makes feasible plans based on the state model. © 2022 The Institute of Electrical Engineers of Japan.

关键词： Reliability

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A composite structure named self-adjusted conductivity modulation SOI-LIGBT with low on-state voltage 29

A composite structure named self-adjusted conductivity modul...

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29th International Symposium on Power Semiconductor Devices and IC's, ISPSD 2017

作者： Sun, Weifeng Zhu, Jing Yang, Zhuo Bian, Fangjuan Tong, Xin Tian, Ye Yi, Yangbo Gu, Yan Zhang, Sen Su, Wei National ASIC System Engineering Research Center Southeast University Nanjing China Technology Development Center CSMC Technologies Corporation Wuxi China

ISBN: (纸本)9781509051724

A composite device structure on Silicon-On-Insulator (SOI) layer named Self-adjust Conductivity Modulation SOI-LIGBT (SCM-LIGBT) is proposed. It can be divided into three parts: the normal LIGBT region (NLT structure), the EM-NMOS region (ENM structure) and the diode region (DIO structure). The drain of the ENM structure is connected with the n+ emitter of the NLT structure while the p+ region in the emitter side of the NLT structure is connected to the anode of the DIO structure. The gates of the NLT structure and the ENM structure are connected together and they acted as the gate of the proposed SCM-LIGBT structure. In the on-state, the NPN parasitic bipolar structure of the NLT structure is triggered and the conductivity modulation is dramatically enhanced, which leads to the reduction on the on-state voltage. In addition, due to the base voltage of the NPN parasitic bipolar structure in the proposed device can be clamped at the forward threshold of the series diodes, therefore the latch-up issues can be immunized to guarantee the forward-biased safe-operating-area (FBSOA). The experiments demonstrate that the proposed SCM-LIGBT achieves the Vf lower than 1.18V at JA=150A/cm2. © 2017 IEEJ.

关键词： Modulation

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An Intelligent simulation Result Validation Method Based on Variational Autoencoder 23rd

An Intelligent Simulation Result Validation Method Based on ...

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23rd Asia simulation Conference, AsiaSim 2024

作者： Yang, Fan Ma, Ping Li, Wei Tao, Chao Yang, Ming Zhang, Jianchao Cheng, Huichuan Control and Simulation Center Harbin Institute of Technology Harbin150080 China National Key Laboratory of Complex System Modeling and Simulation Harbin150080 China Chinese Aeroengine Research Institute Beijing101304 China

ISBN: (纸本)9789819772247

Validation for complex system simulation faces the challenges of a large amount of validation data, which comes in the form of extensive samples and prolonged time series. To address this issue, this paper proposes an intelligent simulation result validation method based on Variational Autoencoder (VAE), achieving model validation through intelligent feature extraction and feature consistency metrics. Initially, we present the overall validation framework, which consists of feature extraction and simulation result validation, and detail the steps of the validation process. Subsequently, the principles and procedures of the feature extraction and simulation result validation methods are thoroughly discussed. The feature extraction is achieved by learning the distribution parameters of the latent space using a VAE model. Feature differences across various aspects are measured by three distance metrics and are further converted into simulation credibility. Finally, the effectiveness and superiority of this method are demonstrated through a case study on validating a drone delivery model. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Digital elevation model

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An Intelligent Ranking Evaluation Method of simulation Models Based on Graph Neural Network 15th

An Intelligent Ranking Evaluation Method of Simulation Model...

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15th EAI International Conference on simulation Tools and Techniques, SIMUTools 2023

作者： Yang, Fan Ma, Ping Zhang, Jianchao Cheng, Huichuan Li, Wei Yang, Ming Control and Simulation Center Harbin Institute of Technology Harbin150080 China National Key Laboratory of Complex System Modeling and Simulation Harbin150080 China Chinese Aeroengine Research Institute Beijing101304 China

ISBN: (纸本)9783031575228

To validate the alternative simulation models and select the most credible one when the models have multivariate and correlated outputs, an intelligent ranking evaluation method of simulation models based on Graph Neural Network (GNN) is proposed. The process of ranking evaluation is divided into three parts: graph structure conversion for evaluation data, feature extraction based on Graph Representation Learning (GRL) and ranking evaluation based on feature distance. A graph structure modeling method is presented to provide the pre-define graph structure for further GRL primarily. Next the interdependencies and dynamic evolutionary patterns among variables are captured by GNN so that the graph representations of evaluation data can be obtained. Then ranking evaluation is achieved by similarity measurement of the graph representations. In the end, the effectiveness of the proposed method on feature extraction of evaluation data and simulation models ranking is illustrated through an application example on a prediction model for aerodynamic parameters of a certain flight vehicle. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Feature extraction

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TV Guidance Technical Schemes for Manned Lunar Soft Landing

TV Guidance Technical Schemes for Manned Lunar Soft Landing

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2016 IEEE Chinese Guidance, Navigation and Control Conference (IEEE CGNCC2016)

作者： Xu Xibao Guo Jifeng Bai Chengchao Zhang Luwen school of Astronautics Harbin Institute of Technology Beijing Institute of Astronautical Systems Engineering IEEE Aircraft System Simulation Research Center Harbin Institute of Technology

ISBN: (纸本)9781467383196

This paper researches the manually controlled site reselection focusing on the approaching phase and landing phase of soft landing of manned lunar ***,this paper introduces the phase division of manned lunar landing,establishes the kinetic model for lunar module and then makes research on the manual control site selection scheme under TV *** the TV guidance scheme,the astronaut can directly select new lunar landing point within the field of *** target guidance is achieved by automatic control ***,the impact of response delay of the astronaut on tasks in actual execution is *** to the simulation results of the guidance scheme,as the TV guidance is not restricted by the angle of sight,the adjustable range of the landing point is relatively ***,TV guidance has relatively great requirements on the attitude *** addition,the earlier the site reselection made by the astronaut,the greater the adjustable range of the landing point is.

关键词： origin TV Guidance Technical Schemes for Manned Lunar Soft Landing

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Automatic Classification of Chinese Long Texts Based on Deep Transfer Learning Algorithm 2

Automatic Classification of Chinese Long Texts Based on Deep...

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2nd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2021

作者： Li, Yuanxi Wuxi Institute of Commerce Wuxi China Jiangsu Research and Development Center of Application Technology for Wireless Sensing System Wuxi China

ISBN: (纸本)9781665421867

Traditional Chinese long text automatic classification methods have the problem of missing analysis information, which leads to a low recall rate. This paper designs an automatic Chinese long text classification method based on deep transfer learning algorithm. The literal similarity is obtained, and the morphemes are processed by weighting and quantization. On this basis, the noise data is eliminated, and the dimensionality of the structural features of the Chinese long text is reduced. A deep transfer learning algorithm is used to count the word segmentation information and minimize the loss function value of the category classifier. The relationship between document characteristics and document categories is explored, and an automatic classification mode is set. Experimental results: The recall rates of the Chinese long text automatic classification method in this paper and the other two automatic classification methods are 77.096%, 66.897%, 66.762%, indicating that the performance of the Chinese long text automatic classification method combined with the deep transfer learning algorithm is better. © 2021 IEEE.

关键词： Learning algorithms

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