检索结果-内蒙古大学图书馆

Optimal Scheduling for Electric-Heat-Gas Systems: Harnessing Nonlinear Thermoelectricity of Hydrogen Fuel Cells

Renewable Energy 2025年

作者： Hao Fu Fang Kong Xiao Wu Kwang Y. Lee Feng Wu School of Electrical and Power Engineering Hohai University Nanjing 211100 China National Engineering Research Center of Power Generation Control and Safety School of Energy and Environment Southeast University Nanjing 210096 China Department of Electrical and Computer Engineering Baylor University One Bear Place #97356 Waco TX 76798-7356 USA Department of Convergence IT Engineering Pohang University of Science and Technology (POSTECH) Pohang Gyeongbuk 37673 Korea

Hydrogen fuel cell, having features of high efficiency and zero carbon emission, has shown great application potential in integrated energy systems. To this end, a novel optimal scheduling strategy of electric-heat-gas (EHG) integrated energy system considering the heat and power coupling characters of hydrogen fuel cell is proposed in this paper. However, the intricate thermoelectric coupling characteristics of fuel cells need to be investigated to develop the refined scheduling modes. Based on the constructed mechanism model of hydrogen fuel cell, the thermoelectric coupling characteristics of hydrogen fuel cell cogeneration is analyzed among the feasible region, and further linearized as a series of constraints in the scheduling model. Considering the carbon trading cost, energy purchase cost and wind curtailment cost, the scheduling model of the EHG integrated energy system is developed. The results show that consideration of nonlinear thermoelectric coupling characteristics has improved the scheduling accuracy, which is more desirable in real projects. Using the established scheduling strategy, the available renewable resources can be fully absorbed. The carbon emissions and the total cost are significantly reduced, by 25.8% and 16%, respectively. Studies also indicate that the proposed optimal scheduling significantly enhances the operational flexibility and economic effect of the system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fast outcome prediction based on slow cause estimation: A human inspired approach in air hockey game

Fast outcome prediction based on slow cause estimation: A hu...

引用

2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

作者： Ghazvini, S.A. Moradi, H. Ahmadabadi, M. Nili Araabi, B. School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

ISBN: (纸本)9781457721373

In this paper, we present an approach, inspired by human behavior, in predicting the state of a high speed object based on the state of another object that causes such a high speed, e.g. predicting the state of a high speed puck which is hit by a lower speed paddle in the air hockey game. The proposed approach eliminates the need for high speed sensors, such as high speed cameras and grabbers, for capturing and processing high speed motions. This approach has been implemented and tested on an air hockey simulator and in real images taken by an off-the-shelf camera. The results show that the low speed of a paddle in the air hockey can be easily captured by an off-the-shelf camera and then the state of the puck, which is the speed and its pose, after being hit by the paddle can be calculated. © 2011 IEEE.

关键词： High speed cameras

来源：评论

学校读者我要写书评

暂无评论

A multi-robot system for dome inspection and maintenance: Concept and stability analysis

A multi-robot system for dome inspection and maintenance: Co...

引用

2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

作者： Nejadfard, A. Moradi, H. Ahmadabadi, M. Nili School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

ISBN: (纸本)9781457721373

In this paper a novel approach based on multi-robot cooperation is introduced for inspection and repair of dome structures. In this application, three robots which can be extended to more, connect to each other by three strings and cooperate such that all the robots are stable and at least one robot have access to all parts of the dome. The mathematical model of the system is derived and a systematic methodology is developed to find an optimal configuration, based on minimizing the strings' tensions or maximizing the stability, using Particle Swarm Optimization (PSO) algorithm and quadratic programming. The simulation results prove that there exists a stable path to fully sweep the surface of a dome. The experimental results on a small scale prototype validate these findings. © 2011 IEEE.

关键词： Multipurpose robots

来源：评论

学校读者我要写书评

暂无评论

Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework

引用

CSEE Journal of Power and Energy Systems 2024年第1期10卷 66-75页

作者： Lingkang Zeng Wei Yao Ze Hu Hang Shuai Zhouping Li Jinyu Wen Shijie Cheng State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronics EngineeringHuazhong University of Science and TechnologyWuhan 430074China Dispatching and Control Center Central China Branch of State Grid Corporation of ChinaWuhan 430077China. Department of Electrical Engineering and Computer Science University of TennesseeKnoxvilleTN 37996USA

Generator tripping scheme(GTS)is the most commonly used scheme to prevent power systems from losing safety and ***,GTS is composed of offline predetermination and real-time scenario ***,it is extremely time-consuming and labor-intensive for manual predetermination for a large-scale modern power *** improve efficiency of predetermination,this paper proposes a framework of knowledge fusion-based deep reinforcement learning(KF-DRL)for intelligent predetermination of ***,the Markov Decision Process(MDP)for GTS problem is formulated based on transient instability ***,linear action space is developed to reduce dimensionality of action space for multiple controllable ***,KF-DRL leverages domain knowledge about GTS to mask invalid actions during the decision-making *** can enhance the efficiency and learning ***,the graph convolutional network(GCN)is introduced to the policy network for enhanced learning *** simulation results obtained on New England power system demonstrate superiority of the proposed KF-DRL framework for GTS over the purely data-driven DRL method.

关键词： Deep reinforcement learning generator tripping scheme graph convolutional network invalid action masking knowledgefusion

来源：评论

学校读者我要写书评

暂无评论

Robust global asymptotic attitude synchronization by hybrid control

Robust global asymptotic attitude synchronization by hybrid ...

引用

作者： Mayhew, Christopher G. Sanfelice, Ricardo G. Arcak, Murat Teel, Andrew R. Electrical and Computer Engineering Department Center for Control Engineering and Computation University of California Santa Barbara CA 93106-9560 United States Department of Aerospace and Mechanical Engineering University of Arizona Tucson AZ 85721 United States Electrical Engineering and Computer Sciences University of California Berkeley CA 94720 United States

ISBN: (纸本)9781424474264

We apply recent results on robust global asymptotic stabilization of the attitude of a single rigid body to the problem of synchronizing the attitude of a network of rigid bodies using graph-local information. The proposed synchronization scheme relies on a hysteretic hybrid feedback based on the unit quaternion representation of rigid body attitude to achieve a global synchronization result that is robust to measurement noise. While the hysteretic feedback manages a trade-off between robustness to measurement noise and unwinding, the scheme necessitates the communication of a single binary logic variable between neighboring rigid bodies. © 2010 AACC.

关键词： Feedback

来源：评论

学校读者我要写书评

暂无评论

Variable selection in identification of a high dimensional nonlinear non-parametric system

引用

control Theory and Technology 2015年第1期13卷 1-16页

作者： Er-Wei BAI Wenxiao ZHAO Weixing ZHENG Department of Electrical and Computer Engineering University of Iowa School of Electronics Electrical Engineering and Computer Science Queen's UniversityBelfast U.K. Key Laboratory of Systems and Control Academy of Mathematics and Systems Science National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of Sciences School of Computing Engineering and Mathematics University of Western Sydney

The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Then its connections to various topics and research areas are briefly discussed, including order determination, pattern recognition, data mining, machine learning, statistical regression and manifold embedding. Finally, some results of variable selection in system identification in the recent literature are presented.

关键词： System identification variable selection nonlinear non-parametric system curse of dimensionality

来源：评论

学校读者我要写书评

暂无评论

A centralized potential field method for stable operation of a multi-robot dome inspection, repair, and maintenance system

A centralized potential field method for stable operation of...

引用

2013 1st RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2013

作者： Naderi, K. Nejadfard, A. Moradi, H. Nili Ahmadabadi, M. School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

ISBN: (纸本)9781467358118

In this paper we propose a centralized algorithm for stable operation of a multi-robot dome inspection, repair, and maintenance based on potential field method. The multi-robot system consists of two robots, a leader robot and a supporter robot, connected to each other by two strings. The follower robot sends its information to the leader robot for processing and receiving commands. The leader robot uses the friction model, the slope of the dome detected by the two robots' tilt sensors and the mass of the robots to calculate the stability ranges and determines the proper action to make the whole system stable. The leader robot moves toward its target pose while adjusting the tension of its string using potential field method to combine the attractive and repulsive potentials. The follower robot executes the commands sent by the leader robot to create the most stable configuration for the whole system. It is shown that the algorithm can guarantee stable operation all over a typical dome. The algorithm has been implemented and shown its effectiveness in simulation. Furthermore, the effect of each parameter has been discussed and it is shown that the multi-robot system is capable of completely covering a typical dome using the proposed potential field algorithm. © 2013 IEEE.

关键词： Multipurpose robots

来源：评论

学校读者我要写书评

暂无评论

A non-rigid registration algorithm for compatible skeletonization

A non-rigid registration algorithm for compatible skeletoniz...

引用

International Conference on computer Science and Education

作者： Wei, Li Yu, Wuyi Li, Maoqing Li, Xin Department of Automation Xiamen University China Department of Electrical and Computer Engineering Center for Computation and Technology Louisiana State University United States

ISBN: (纸本)9781424460052

This paper presents a registration framework for curve skeleton of 3D models. The algorithm matches two skeletons and deforms a source skeleton to the other target skeleton, so that each node aligns with its closest point on the target skeleton in a non-rigid manner. Transformations defined on each individual skeletal node is optimized to minimize a weighted combination of three errors: the Data Error, Smoothness error, and Length-Preserving Error. The registration can apply to a set of non-isomorphic skeletons robustly and generate a compatible deforming sequence, desirable for many geometric processing tasks. We demonstrate effectiveness of our skeleton matching framework on various 3D models. ©2010 IEEE.

关键词： Errors

来源：评论

学校读者我要写书评

暂无评论

Modeling and control of washing machine based on approximate solution of HJB equation

Modeling and control of washing machine based on approximate...

引用

5th International Conference on control and Automation, ICCA'05

作者： Mohammadi-Milasi, Rasoul Yazdanpanah, Mohammad-Javad Lucas, Caro Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Iran Department of Electrical and Computer Engineering School of Cognitive Sciences University of Tehran Iran

ISBN: (纸本)0780391381

The paper elaborates the design of an optimal feedback control system for a washing machine. It is sought to save on the water and energy consumption and the associated wear and tear and detergent consumption through monitoring the washing process via feedback sensors rather than following a fixed cycle. A lumped nonlinear model is first fitted to empirical data. After choosing an appropriate objective function, the optimal control law is found via approximate solution of Hamiltonian-Jacobi-Bellman (H-J-B) equation. The results show the high performance of proposed controller. © 2005 IEEE.

关键词： Washing machines

来源：评论

学校读者我要写书评

暂无评论

Asymptotic optimality for consensus-type stochastic approximation algorithms using iterate averaging

引用

控制理论与应用（英文版） 2013年第1期11卷 1-9页

作者： Gang YIN Le Yi WANG Yu SUN David CASBEER Raymond HOLSAPPLE Derek KINGSTON Department of Mathematics Wayne State University Department of Electrical and Computer Engineering Wayne State University Quantitative Business Analysis Department Siena College Control Science Center of Excellence Air Force Research Laboratory

This paper introduces a post-iteration averaging algorithm to achieve asymptotic optimality in convergence rates of stochastic approximation algorithms for consensus control with structural constraints. The algorithm involves two stages. The first stage is a coarse approximation obtained using a sequence of large stepsizes. Then, the second stage provides a refinement by averaging the iterates from the first stage. We show that the new algorithm is asymptotically efficient and gives the optimal convergence rates in the sense of the best scaling factor and ＇smallest＇ possible asymptotic variance.

关键词： Stochastic approximation algorithm Consensus Iterate averaging Asymptotic optimality

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：