期刊：
Information Technology Journal,2013年12(21):6475-6480 ISSN：1812-5638
通讯作者：
Zhao, Y.
作者机构：
[Zhao, Yuhong; Sheng, Yifa] School of Electric Engineering, University of South China, Hengyang, Hunan, China;[Lei, Lin] Institute of Environmental Protection and Safety Engineering, University of South China, Hengyang, Hunan, China
通讯机构：
[Zhao, Y.] S;School of Electric Engineering, University of South China, Hengyang, Hunan, China
期刊：
International Journal of Applied Mathematics & Statistics,2013年48(18):347-355 ISSN：0973-1377
作者机构：
[Heping Hu] School of Mathematics and Physics, University of south China, Hengyang, 421001, Hunan, China;[Xuecheng Zhao] Mechanical and Electrical Engineering Department, Shaoyang Vocational and Technical College, Shaoyang, 422000, Hunan, China;[Yuhong Zhao] School of Electric Engineering, University of south China, Hengyang, 421001, Hunan, China
摘要：
It is difficult to merge wind power into grid, owing to wind power's uncertainty and prediction inaccuracy. Wind speed is an important factor affecting wind power, so the accuracy of wind speed prediction has a major impact on the wind power prediction. The support vector machine (SVM) has been successfully applied in the short-term wind speed forecasting field, but its learning and generalization ability depend on proper setting of its parameters. In order to improve forecasting accuracy, aiming at the disadvantages like man-made blindness in the parameters selection of SVM, in this paper, the chaos theory was applied to the particles swarm optimization (PSO) algorithm in order to cope with the problems such as low search speed and local optima. Finally, we used it to optimize the support vector machines of short-term wind speed forecasting model. Through the analysis of the forecasting results, it is shown that the proposed method could reduce modeling error and forecasting error of SVM model effectively and has better performance than general methods.
期刊：
International Journal of Applied Mathematics & Statistics,2013年41(11):246-254 ISSN：0973-1377
通讯作者：
Zhao, Y.
作者机构：
[Zhao, Yuhong; Hong, Zhennan] School of Electric Engineering, University of south China, Hengyang, 421001, Hunan, China;[Hu, Heping] School of Mathematics and Physics, University of south China, Hengyang, 421001, Hunan, China
通讯机构：
[Zhao, Y.] S;School of Electric Engineering, , Hengyang, 421001, Hunan, China
期刊：
Information Technology Journal,2013年12(14):2719-2725 ISSN：1812-5638
通讯作者：
Zhao, Y.
作者机构：
[Zhao, Yirui; Zhao, Yuhong] School of Electric Engineering, University of South China, Hengyang, 421001, Hunan, China;[Zhao, Xuecheng] Mechanical and Electrical Engineering Department, Shaoyang Vocational and Technical, Shaoyang, Hunan, China
通讯机构：
[Zhao, Y.] S;School of Electric Engineering, University of South China, China
期刊：
Nature Environment and Pollution Technology,2013年12(4):569-575 ISSN：0972-6268
作者机构：
[Yunhui Zhang] Mechanical and Electrical Engineering Department, Shenzhen Polytechnic, Shenzhen, 518057, Guangdong, China;[Yuhong Zhao; Jinyun Guang] School of Electric Engineering, University of South China, Hengyang, 421001, Hunan, China
摘要：
Large-scale integration of wind power has brought profound challenge to traditional power generation dispatch. It becomes necessary to effectively coordinate the operation of wind power and traditional power sources. Traditional economic dispatch tominimize the fuel cost no longer meets the need for environmental protection when emission reduction is mandatory. Based on the optimal dispatch in traditional power system, the concept of "energy-environmental efficiency" was introduced to modify the optimal dispatch model in wind power integrated system, and the multi-objective optimal dispatch model was proposed on the basis of comprehensively considering the minimum of the resource consumption, the best energy-environmental efficiency and the highest system stability. A hybrid particle swarm and simulated annealing optimization algorithm with fuzzy technology was presented to solve the optimization model. Compared with traditional economic dispatch, the model proposed in this paper is reasonable and can better protect the ecological environment.
作者机构：
[王西超; 曹云峰; 刘兴华; 丁萌; 庄丽葵; 王彪] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China;[杨斌] College of Electrical Engineering, University of South China, Hengyang 421001, Hunan, China
通讯机构：
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, China
作者机构：
[Gu, Weili] Univ South China, Dept Urban Construct, Sch Energy & Power Engn, Changsha, Hunan, Peoples R China.;[Liu, Jianxiang] Univ South China, Dept Urban Construct, Hengyang, Hunan, Peoples R China.
通讯机构：
[Gu, Weili] U;Univ South China, Dept Urban Construct, Sch Energy & Power Engn, Changsha, Hunan, Peoples R China.
会议名称：
SSITE International Conference on Future Material Research and Industry Application (FMRIA 2011)
会议时间：
DEC 01-02, 2011
会议地点：
Macau, PEOPLES R CHINA
会议主办单位：
[Gu, Weili] Univ South China, Dept Urban Construct, Sch Energy & Power Engn, Changsha, Hunan, Peoples R China.^[Liu, Jianxiang] Univ South China, Dept Urban Construct, Hengyang, Hunan, Peoples R China.
会议论文集名称：
Advanced Materials Research
关键词：
Energy-saving optimization;Exergy loss;Irriversible process;The organic heat transfer material heater
摘要：
this paper studies the typical irreversible processes such as combustion and heat transfer with temperature difference based on the theory of thermodynamics, analyzes the influencing factors on exergy loss in irreversible processes, on the basis of this analysis, proposes the energy-saving optimization measures on design and operation management of the organic heat transfer material heater, and specially points out that in the design process, objective function can be constructed with the exergy loss as evaluation index to determine the outlet flue gas temperature of furnace and the flue gas temperature, and provides theoretical basis for the determination of design parameters.
摘要：
Heating of ions by two Alfven waves propagating along an external magnetic field via nonresonant wave-particle interaction in low-beta plasmas is studied using test-particle simulation. Due to subcyclotron ion resonance, the heating effect of the left-hand polarized Alfven wave pair is 10% greater than that of the right-hand polarized pair. The results show that the perpendicular and parallel (to the external magnetic field) temperatures, as well as the parallel fluid velocity, vary sinusoidally with the phase difference. Furthermore, the magnitude of the oscillations decreases with the ratio of the frequencies of the two waves. When the frequency ratio reaches above 2, the effect of the phase difference vanishes. (C) 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.4737896]
摘要：
The roundness and surface roughness are important quality performances for machined round parts. In order to get the best quality performance by less experiment search for optimum parameters, an orthogonal array was used for the experimental design, optimal machining parameters were determined by the grey relational grade obtained from the grey relational analysis, and the main machining parameters that affect the machining performance can be found by the difference between the maximum and minimum value of the grey relational grade of the machining parameters. Experimental results have shown that the roundness and surface roughness of machined round parts can be improved effectively by the proposed approach.
作者机构：
[刘升学] School of Electrical Engineering, University of South China, Hengyang 421001, China;[喻寿益; 桂卫华] Institute of Information Science and Engineering, Central South University, Changsha 410083, China;[盛义发] School of Electrical Engineering, University of South China, Hengyang 421001, China<&wdkj&>Institute of Information Science and Engineering, Central South University, Changsha 410083, China
通讯机构：
[Sheng, Y.-F.] S;School of Electrical Engineering, University of South China, China
作者机构：
[林英华; 文向东] School of Mechanical Engineering, University of South China, Hengyang 421001, China;[陈志勇; 李月华; 朱卫华] School of Electrical Engineering, University of South China, Hengyang 421001, China;[王新林] School of Mechanical Engineering, University of South China, Hengyang 421001, China<&wdkj&>School of Electrical Engineering, University of South China, Hengyang 421001, China
通讯机构：
[Lin, Y.] S;School of Mechanical Engineering, University of South China, China
摘要：
In this study a novel Migrant Particle Swarm Optimization (Migrant PSO) algorithm is presented to upgrade the performance in multi-constraint trajectory optimization. To imitate the behaviour of a flock of migrant birds, the Migrant PSO algorithm integrates stochastic search and adaptive linear search mechanism effectively within both continuous space and discrete space. Then the developed algorithm is applied to the minimum control energy reentry trajectory optimization for X-33 vehicle model with free terminal time, some key issues such as parameterized method are discussed in detail. The effectiveness and efficiency of the proposed method are demonstrated by the comparison between the simulation result of the Migrant PSO algorithm and that of the Sequential quadratic programming (SQP) method.
期刊：
Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012,2012年23:2002-2005 ISSN：1951-6851
通讯作者：
Zhao, Xuecheng
作者机构：
[Zhao, Xuecheng] Shaoyang Vocatioonal & Tech, Mech & Elect Engn Dept, Shaoyang, Hunan, Peoples R China.;[Zhao, Yuhong] Univ South China, Inst Elect Engn, Hengyang, Peoples R China.
摘要：
A simulation system for instrument cluster based on the CANoe from Vector company is developed and used for real-time cluster test and fault analysis. Test results show that the operation condition of cluster can be simulated and the fault data from CAN bus can be collected, replayed and analyzed using this system.
作者机构：
[Chen Wenguang] Univ S China, Sch Elect Engn, Hengyang 421001, Peoples R China.;[HL-2A NBI Grp; Chen Wenguang; Kang Zihua; Rao Jun; Cao Jianyong; Wang Mingwei; Feng Kun; Lei Guangjiu; Li Bo] SW Inst Phys, Chengdu 610041, Peoples R China.
通讯机构：
[Chen Wenguang] U;Univ S China, Sch Elect Engn, Hengyang 421001, Peoples R China.
关键词：
HL-2A;neutral beam injector;neutral beam injection power supply;control sequence
摘要：
Neutral beam injection (NBI) is one of the most effective ways to heat and drive plasma in a tokamak. The mega watt level neutral beam injector on the HL-2A tokamak consists of four high-power ion sources. Each source is supplied by discharge, beam extraction and auxiliary power supplies. Some circuit topologies and control sequences designed for the system are presented in this paper. Some important technologies such as the notching circuit, insulated gate bipolar transistor (IGBT) series-connected switch, high-frequency switching power supply and control system based on a digital signal processor (DSP) have been used. The system can be effectively used for high current ion beam extraction, protection, ion optics and so on. The power system has been safely used in HL-2A high-parameter NBI experiments for three years. The power of NBI can be kept at higher than 0.75 MW for 1 second and the ion beam power extracted from the ion source is higher than 2 MW. The ion temperature of the plasma center is close to 2.0 keV. These results show that the design of this power system is reasonable and reliable, and it can fully meet the system requirements for NBI of the HL-2A tokamak.
作者机构：
[王西超; 曹云峰; 丁萌; 庄丽葵; 王彪] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;[杨斌] College of Electrical Engineering, University of South China, Hengyang Hunan 421001, China
通讯机构：
[Wang, X.-C.] C;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, China
作者机构：
[盛义发; 桂卫华; 喻寿益] School of Information Science and Engineering, Central South University, Changsha 410083, China;[周文振; 刘升学; 盛义发] School of Electrical Engineering, University of South China, Hengyang 421001, China
通讯机构：
School of Information Science and Engineering, Central South University, China
作者机构：
[詹杰; 王彦; 刘宏立] College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;[王彦] College of Electrical Engineering, Nanhua University, Hengyang 421001, China
通讯机构：
College of Electrical and Information Engineering, Hunan University, China
