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REINFORCEMENT LEARNING control FOR SHIP STEERING USING RECURSIVE LEAST-SQUARES ALGORITHM

IFAC Proceedings Volumes 2005年第1期38卷 133-138页

作者： Zhi-peng Shen Chen Guo Shi-chun Yuan Lab of Simulation and Control of Navigation Systems Dalian Maritime Univ. Dalian 116026 China State Key Laboratory of Intelligent Technology and system Tsinghua University Beijing 100084 China

Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data more efficiently with fast convergence and less computational burden. Reinforcement learning based on recursive least-squares methods is applied to ship steering control, as provides an efficient way for the improvement of ship steering control performance. It removes the defect that the conventional intelligent algorithm learning must be provided with some sample data. The parameters of controller are on-line learned and adjusted. simulation results show that the ship course can be properly controlled in case of the disturbances of wave, wind, current. It is demonstrated that the proposed algorithm is a promising alternative to conventional autopilots.

关键词： Recursive squares methods Learning algorithm Action network Ship control simulation

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Ordinal optimization theory based planning for clustered wind farms considering the capacity credit

Ordinal optimization theory based planning for clustered win...

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第13届全国博士生学术年会——新能源专题

作者： Yi Wang Chongqing Kang Ning Zhang Qianyao Xu Rui Shi Hui Li Jinyu Xiao Zhidong Wang Shuai Wang State Key Lab of Control and Simulation of Power Systems and Generation Equipment (Department of Ele State Power Economic Research Institute ChangpingDistrictBeijing 102209China

Wind power planning aims at optimally locating and sizing wind ***,it tends to choose the wind farms with the richest wind resource in order to maximize the energy ***, the capacity benefit of wind power should also be considered in the large-scale clustered wind farm planning since the correlation among the wind farms performs an obvious influence on the capacity benefit brought by the whole wind *** paper proposes a planning model considering both energy and capacity benefit of the wind ***, the capacity benefit is evaluated by wind power capacity *** Ordinal Optimization (OO) theory, capable of handling problems with non-analytical forms, is applied to address the *** verify its feasibility and advantages, the proposed model is compared with widely-used genetic algorithm (GA) via a modified IEEE RTS-79 system and a real world case of Ningxia, *** results show that the diversity of wind farm enhances the capacity credit of wind power.

关键词： Capacity credit Correlation Ordinal Optimization Planning Wind power

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An Improved Master-Slave control for Three-port Converter Based Distributed DC Grid-connected PV System 8

An Improved Master-Slave Control for Three-port Converter Ba...

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8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018

作者： Jiang, Siyue Sun, Kai Wu, Hongfei Shi, Haixu Dong, Xiaofeng Raza Kazmi, Syed Muhammad State Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China Jiangsu Key-Laboratory of New Energy Generation and Power Conversion Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu Province China United States Pakistan Center for Advanced Studies in Energy National University of Sciences and Technology Islamabad Pakistan

ISBN: (纸本)9784886864055

With the development of DC grid technology, it has become a trend to introduce photovoltaic(PV) as a power source to the DC power distribution network. In this paper, an improved master-slave control strategy is proposed to realize power splitting and voltage sharing in a modular system with PV connected. Each module is a three-port converter: Input port connects distributed PV, output port connects to DC grid, and intermediate port is connected in parallel with other modules as a bus to realize the power splitting. For a single module, input voltage, intermediate bus voltage and output voltage should all be controlled to reference but only duty ratio and phase-shifting angel can be regulated hence it may occur the multi-objective variables control problem. While using the proposed strategy, this problem can be solved effectively and the system stability is ensured during the voltage sharing process. This control strategy is verified by simulation and experiment. © 2018 IEEJ Industry Application Society.

关键词： System stability

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Deep learning based velocity prediction with consideration of road structure

Deep learning based velocity prediction with consideration o...

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Conference on Vehicle control and Intelligence (CVCI)

作者： Pengyu Fu Liang Chu Zhuoran Hou Jiaming Xing Jianbing Gao Chong Guo State Key Lab of Automotive Dynamic Simulation and Control Jilin University Jilin China Institute of Transportation System University of Leeds Leeds UK

ISBN: (纸本)9781665408486

Speed prediction of roads is an important part of intelligent transportation system(ITS). Due to the complexity of the traffic environment, the speed of road is not only related to the historical speed of this road, but also has a strong relationship with the adjacent roads. In recent years, with the development and application of various data acquisition devices, a large amount of real-time traffic status information can be obtained. In this paper, we propose a road speed prediction method based on deep learning. Firstly, the method extracts the spatial correlation between the target road and the adjacent roads by convolutional neural networks(CNN). Secondly, long short-term memory(LSTM) is used to obtain the temporal correlation of the data and effectively capture the nonlinear features in the traffic speed sequence. Finally, a multilayer perceptron(MLP) is used to combine the spatio-temporal features. In this paper, the prediction accuracy of the model is evaluated on a real traffic dataset. Compared with traditional statistical methods and advanced deep learning methods, the speed prediction model in this paper obtains a more accurate prediction performance.

关键词： Deep learning Correlation Statistical analysis Roads Transportation Predictive models Nonhomogeneous media

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Effects of morphology on movement of space charge packet in polyethylene

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Gaodianya Jishu/High Voltage Engineering 2008年第11期34卷 2385-2389页

作者： Zhou, Yuan-Xiang Wang, Yun-Shan Wang, Ning-Hua Sun, Qing-Hua Nie, Qiong Liang, Xi-Dong Guan, Zhi-Cheng State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Dept of Electrical Engineering Tsinghua University Beijing 100084 China China Electric Power Research Institute Beijing 100085 China

Polyethylene is a major kind of internal insulating material. This paper measured the space charge phenomenon in low-density polyethylene (LDPE) by the pulsed electro-acoustic (PEA) method and observed the space charge packet. This research got the LDPE films of different morphology by different annealing rate and discussed the effect of morphology and electrical field stress changing on space charge packet's moving velocity. The research shows that morphology of LDPE affects the velocity of space charge packet remarkably;bigger crystallinity results in lower velocity of space charge packet. The intensity of electrical field has little affection to the velocity. The average mobility of different crystallinity under different electric field was calculated. The relationship between crystallinity and mobility was found. The results further demonstrate there are inherent relationships among higher crystallinity, more space charge accumulation, lower mobility and deeper trap depth. Lower mobility and deeper trap depth have a monotone relationship.

关键词：空间电荷空间电荷包聚乙烯微观形态迁移率 PEA

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Development of low cost hardware-in-the-loop test system and a case study for electric vehicle controller

Development of low cost hardware-in-the-loop test system and...

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International Conference on Applied System Innovation (ICASI)

作者： Jing Lin Xia Qinghua Diao Wei Sun Zengzhen Xing Xinmei Yuan Tingting Dong State Key Lab.of Automotive Simulation and Control Jilin University Changchun Jilin China Geely Automobile Institute Hangzhou Zhejiang China

ISBN: (纸本)9781467398893

In recent years, hardware-in-the-loop (HIL) test becomes an effective approach in the design of automotive electronics. One issue of HIL system is that most commercial HIL products are very expensive. With careful analysis of the ECU functionality and reasonable use of the hardware resources, it is possible to realize a HIL system to fully satisfy the test requirements with much lower cost in many cases. In this paper, the possibilities to reduce the cost of current HIL systems are discussed. As a case study, the development of a low cost HIL system for a pure electric vehicle controller is presented, the modeling of the vehicle is introduced and the hardware and software implementations are given. Finally, the feasibility of the proposed HIL system is validated by experimental results.

关键词： Decision support systems control systems Industrial electronics

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load 11

Ancillary service for frequency regulation based on multi-en...

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11th IET International Conference on Advances in Power System control, Operation and Management, APSCOM 2018

作者： Wang, Jiazhen Shen, Xinwei Xu, Yinliang Guo, Qinglai Sun, Hongbin Chen, Yanbo Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University China

ISBN: (纸本)9781839530043

With the increasing proportion of renewable energy generation into the power grid, more challenges are coming to the safe and stable operation of the power system. In order to keep the balance in energy market, system operator has to purchase much service in ancillary service market to guarantee the stable operation of the power transmission. Virtual power plant (VPP) has been extensively studied as a concept that aggregates multiple resource forms to serve the electricity market. Meanwhile, with the development of Energy Internet (EI) Error! Reference source not found., more attention has been focused on the optimization and operation of Integrated Energy System (IES), therefore, the introduction and exploration of Multi-energy Virtual Power Plant (MVPP) provide possibilities for IES to participate in the Electricity Market and Ancillary Services Market. This paper extracts the flexible electric and heat load in the industrial production process, combining the CHP units and Electric Boiler (EB), which are main heat energy supply devices as well as Energy Storage System (ESS) as a MVPP to provide Frequency Regulation (FR) service to the Auxiliary Service Market. Model Predictive control (MPC) method is applied to control the industrial load, the operation of CHP, EB and ESS are gonging to follow the AGC signal issued by the FR market effectively while avoiding impacts on the production process of the factory. Finally, case study validates the effectiveness of the model. © 2018 Institution of Engineering and Technology. All rights reserved.

关键词： Model predictive control

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A non-iterative affine arithmetic methodology for interval power flow analysis of transmission network

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Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering 2013年第19期33卷 76-83页

作者： Ding, Tao Bo, Rui Guo, Qinglai Sun, Hongbin Wu, Wenchuan Zhang, Boming State Key Lab. of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China Midwest ISO St. Paul 55108 United States

Power flow exhibits uncertainty when power injections randomly fluctuate. The variables of power flow problem are correlated through the constraints set forth by power flow equations. Affine arithmetic can effectively overcome the correlation and therefore is adopted in this paper. In order to improve the computational efficiency, non-iterative method was proposed, which can transform the interval power flow problem into optimization problems. Linear programming, nonlinear programming and quadratic programming optimization models were established to obtain intervals of nodal voltage magnitude, phase angle, branch active power and reactive power, respectively. simulation results of 9-bus and 57-bus test system show that the power flow interval obtained by the proposed algorithm is nearly the same as that by iterative algorithms, whereas the branch power flow results are better. The interval power flow problem can be solved quickly and efficiently with time complexity approximately O(m3). As well, parallel computing can be implemented to achieve promising improvement in computation time. © 2013 Chinese Society for Electrical Engineering.

关键词： Quadratic programming

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Voltage balance optimisation among subsystems of wind-photovoltaic-ES hybrid generating system

Voltage balance optimisation among subsystems of wind-photov...

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6th International Conference on Renewable Power Generation

作者： Wu, Han Li, Yan Lu, Zongxiang Tang, Haiyan State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing100084 China North China Electric Power Research Institute Co. Ltd Beijing100045 China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Haidian District Beijing100192 China

Wind-photovoltaic-energy storage (ES) hybrid generating system has numerous reactive power sources. It is crucially important for coordinated control of these reactive power sources. According to the test results, there are unbalanced control problem in subsystem voltage of the hybrid generating system. The problem caused reactive power circulation and loop current. A subsystem voltage balance optimisation strategy is proposed to solve the problem. The case study shows the efficiency of the proposed strategies. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Reactive power

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Research on characteristics of surface electric field on transmission lines under lightning stroke

Research on characteristics of surface electric field on tra...

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2011 7th Asia-Pacific International Conference on Lightning, APL2011

作者： Li, Qian Yu, Zhanqing Zeng, Rong Zhang, Yong Li, Zhizhao Zhuang, Chijie Liao, Yongli State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China Department of Mathematical Sciences Tsinghua University Haidian District Beijing 100084 China Electric Power Research Institute CSG Guangzhou China

ISBN: (纸本)9781457714665

Lightning is a major cause of power interruptions in power transmission lines. Nowadays the Leader Progression Model is an advanced method to evaluate the shielding failure probability of transmission lines. Calculating the surface electric field on phase conductors and ground wires precisely is important, because the surface electric field has great effect on the upward leader inception. In this paper, the influence of lightning current and some other factors on surface electric field were analyzed. © 2011 IEEE.

关键词： Electric lines

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