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Identification of inactive constraints for SCED model considering uncertain power injection

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical engineering 2014年第34期34卷 6050-6057页

作者： Ding, Tao Bo, Rui Guo, Qinglai Sun, Hongbin Huang, Can Li, Fangxing State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing100084 China Midwest ISO St. Paul MN55108 United States Department of Electrical Engineering and Computer Science The University of Tennessee Knoxville TN37996 United States

With the constant expansion of power grid, a large number of security constraints have put tremendous challenges to the online economic dispatch. An efficient tool to eliminate the inactive constraints becomes necessary for security constraints economic dispatch (SCED) in large power systems. In this paper, considering the uncertainty of renewable energy integration, a fast and effective method to identify the inactive security constraints was proposed. Firstly, the definition of uncertain inactive security constraints and a necessary and sufficient condition to identify those were presented respectively. Considering the time-consuming identification, we relaxed the feasible region of original SCED model and utilized greedy algorithm to quickly eliminate part of inactive constraints. Then another necessary and sufficient condition was proposed and verified, where the remaining inactive constraints could be identified. Through the simulation of 24-time periods 9-bus system and 96-time periods IEEE 118-bus system, the speed and effectiveness of proposed method were verified. Moreover, the results can help dispatch operators to locate the transmission lines with the highest congestion risk. © 2014 Chin. Soc. for Elec. Eng.

关键词： Scheduling

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Optimal power allocation for heterogeneous data traffic in NAF relay-assisted uplink transmission

Optimal power allocation for heterogeneous data traffic in N...

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International Symposium on Communications and Information Technologies (ISCIT)

作者： Peng Gong Haiqiao Wu Ping Li Wenbo Shi Duk Kyung Kim Beijing Institute of Technology National Key Lab. of Mechatronic Engineering and Control Beijing China Northeastern University School of Computer and Communication Engineering Qinhuangdao China Department of Information and Communication Engineering Inha University Nam-gu Incheon Korea

ISBN: (纸本)9781479944156

For the future wireless networks, heterogeneous data traffic services, i.e., variant bit-rate (VBR) service and constant bit rate (CBR) service are needed to be supported. The optimal power allocation algorithm for the non-orthogonal AF (NAF) Relays-assisted multicast transmission, which may be suitable for the VBR service, has been investigated in [2]. However, the power allocation algorithms for the cases of CBR service and heterogeneous data traffics service are not considered. In this paper, a power allocation problem is addressed by considering the heterogeneous data traffic with VBR and CBR services in the uplink data transmission, where Different from assumption of infinite length of spreading code in [2], a finite length of spreading code is considered and the interference among the signals from mobile terminal and relays exists. And then, an optimal power allocation algorithm is proposed by solving its inverse problem. Simulation results demonstrate the efficiency of the proposed algorithm.

关键词： Relays Mobile communication Algorithm design and analysis Three-dimensional displays Resource management Power demand Radio access networks

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Application of artificial bee colony algorithm to select architecture of a optimal neural network for the prediction of rolling force in hot strip rolling process

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Journal of Chemical and Pharmaceutical Research 2013年第9期5卷 563-570页

作者： Zhao, Zhiwei Yang, Jingming Che, Haijun Sun, Hao Yang, He Key Lab of Industrial Computer Control Engineering of Hebei Province Institution of Electrical Engineering Yanshan University Qinhuangdao China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan University Qinhuangdao China Department of Computer Science and Technology Tangshan College Tangshan China

In the face of global competition, the requirement for dimensional accuracy, mechanical properties and surface properties has become a major challenge on aluminum manufacturing industries. Conventional rolling force formulas, however, provide not more than reasonably exact approximations. The mathematical modeling of the hot rolling process has long been recognized to be a desirable approach to aid in rolling operating practice and the design of mill equipment to improve productivity and quality. However, many factors make the theoretical analysis of the rolling process very complex and time-consuming. This paper presents a prediction method based on the Artificial Bee Colony algorithm and BP neural network, which was developed in order to improve the prediction of rolling force in hot strip rolling process. The architecture of BP neural network is optimized by Artificial Bee Colony algorithm. Comparing with the Sims mathematical model and BP neural network, the experimental results show that the prediction accuracy and error of rolling force is superior to the other two methods, and the predicted rolling force is very close to the practical rolling force.

关键词： Neural networks

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Multi-objective optimal control algorithm for HVAC based on particle swarm optimization

Multi-objective optimal control algorithm for HVAC based on ...

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International Conference on Intelligent control and Information Processing (ICICIP)

作者： Yanyu Zhang Peng Zeng Chuanzhi Zang School of Computer and Information Engineering Henan University Kaifeng China University of Chinese Academy of Sciences Beijing China Key Lab. of Networked Control System Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781479936519

Residential sector is the biggest potential field of reducing peak demand through demand response (DR) in smart grid. Heating, ventilating, and air conditioning (HVAC) is the largest residential electricity user in house. Therefore, controlling the operation of HVAC is an effective method to implement DR in residential sector. The algorithms proposed in literature are single objective optimization algorithms that only minimize the electricity cost and could not quantify the user's comfort level. To tackle this problem, this paper proposes a comfort level indicator, builds a multi-objective scheduling model, and presents a multi-objective optimal control algorithm for HVAC based on particle swarm optimization (PSO). The algorithm controls the operation of HVAC according to electricity price, outdoor temperature forecast, and user preferences to minimize the electricity cost and maximize the user comfort level simultaneously. The proposed algorithm is verified by simulations, and the results demonstrate that it can decrease the electricity cost significantly and maintain the user comfort level effectively.

关键词： Electricity Vectors Smart grids Pareto optimization Optimal control Temperature control

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Formation Merging control in 3D under Directed and Switching Topologies

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IFAC Proceedings Volumes 2014年第3期47卷 10036-10041页

作者： Tingrui Han Zhiyun Lin Minyue Fu College of Electrical Engineering Zhejiang University 38 Zheda Road Hangzhou 310027 P. R. China State Key Laboratory of Industrial Control Technology and College of Electrical Engineering Zhejiang University 38 Zheda Road Hangzhou 310027 P. R. China School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW 2308 Australia Department of Control Science and Engineering Zhejiang University 38 Zheda Road Hangzhou 310027 P. R. China

The paper studies the formation merging problem for a leader-follower network. That is, how to control a team of agents called followers so that they are merged with a team of agents called leaders to form a larger globally rigid formation. Under the premise that a group of leaders move in a globally rigid formation with their synchronized velocity known to the followers, we show that the followers can asymptotically merge themselves to the formation for arbitrarily initial configurations. Each follower selects its neighbors and also its control law according to the target formation they aim to achieve and thus it allows directed and time-varying switching topologies. It is shown that a globally rigid formation can be merged asymptotically for the leader-follower network in a setup with directed and time-varying graphs if and only if every follower frequently has a joint path from at least a leader.

关键词： Multi-agent systems formation control leader-follower networks

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Energy management for a user interactive smart community: A Stackelberg game approach

Energy management for a user interactive smart community: A ...

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IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

作者： Wayes Tushar Bo Chai Chau Yuen David B. Smith H. Vincent Poor Singanore University of Technology and Design Singapore State Key Lab.of Industrial Control Technology Zhejiang University China NICTA Canberra ACT Australia School of Engineering and Applied Science Princeton University Princeton NJ USA

This paper studies a three party energy management problem in a user interactive smart community that consists of a large number of residential units (RUs) with distributed energy resources (DERs), a shared facility controller (SFC) and the main grid. A Stackelberg game is formulated to benefit both the SFC and RUs, in terms of incurred cost and achieved utility respectively, from their energy trading with each other and the grid. The properties of the game are studied and it is shown that there exists a unique Stackelberg equilibrium (SE). A novel algorithm is proposed that can be implemented in a distributed fashion by both RUs and the SFC to reach the SE. The convergence of the algorithm is also proven, and shown to always reach the SE. Numerical examples are used to assess the properties and effectiveness of the proposed scheme.

关键词： Games Smart grids Energy management Asia Communities Educational institutions Electricity

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Study on modeling and stability analysis of nonlinear transmission system of wind turbine generator system

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Journal of Computational Information Systems 2013年第3期9卷 995-1002页

作者： Fan, Fengjie Fu, Liyuan Song, Minghou Meng, Zong Key Laboratory of Measurement Technology and Instrumentation of Hebei Province Yanshan University Qinhuangdao 066004 China Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

The nonlinear dynamical model of wind turbine generator(WTG) drive system is presented considering nonlinear stiffness of the drive system. The frequency characteristics of wind turbine drive system incented by different forms, such as phase plane and Poincaré section are studied by simulation. The stability of wind turbine generator drive system is analyzed by using bifurcation and chaos theories. The stability of the periodic motion and the process of period-doubling bifurcation into chaos are further studied, and the effect of nonlinear stiffness on stability of wind turbine generator drive system is showed. The results show that negative nonlinear stiffness is beneficial to keep the stability of system, and when the chaos appears on the system, incentive parameter increases as the negative nonlinear stiffness increases. Copyright © 2013 Binary Information Press.

关键词： Wind Turbine Generators

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Discrete-time sliding mode control for a class of stochastic system

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ICIC Express Letters 2013年第7期7卷 2087-2092页

作者： Chang, Ru Fang, Yiming Liu, Le Li, Jianxiong Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University No. 438 Hebei Street Qinhuangdao 066004 China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Hebei Street Qinhuangdao 066004 China

This paper is concerned with the discrete-time sliding mode control (SMC) problem for a class of stochastic system. A sufficient condition is presented to ensure the mean-square asymptotic stability of the stochastic system in the sliding mode by solving a linear objective function. Moreover, a power function is introduced to design a novel discrete sliding mode controller. The controller can guarantee the good dynamic quality of the stochastic system, and can ensure the reachability of the discrete-time sliding motion. Finally, a numerical example is given to illustrate the validity of the proposed SMC scheme. © 2013 ICIC International.

关键词： Stochastic systems

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Gating Technique for the Gaussian Mixture Multi-Bernoulli Filter

Gating Technique for the Gaussian Mixture Multi-Bernoulli Fi...

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American control Conference

作者： Tongyang Jiang Meiqin Liu Senlin Zhang Weihua Sheng College of Electrical Engineering Zhejiang University Hangzhou 310027 P. R. China State Key Laboratory of Industrial Control Technology and the College of Electrical Engineering Zhejiang University Hangzhou 310027 P.R. China School of Electrical and Computer Engineering Oklahoma State University Stillwater OK 74078 USA

ISBN: (纸本)9781479932757

The multi-Bernoulli (MB) filter is a new attractive approach for multi-target filtering in the presence of clutter and detection uncertainty. However, the computational complexity grows as clutter density increases. The clutter measurements may also degrade the filtering accuracy. To eliminate the clutter measurements and reduce the computational complexity, gating technique for the Gaussian mixture MB (GM-MB) filter is proposed in this paper. Gating technique is designed for each hypothesized track to reduce the number of measurements by discarding most clutter measurements. Simulation results demonstrate the proposed approach can improve the real-time performance without the degradation of filtering performance.

关键词： Clutter Time measurement Target tracking Educational institutions Computational complexity Noise measurement Noise

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Percentile-based contention window design for random access MIMO interference networks

Percentile-based contention window design for random access ...

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IEEE International Conference on Communications Workshops, ICC

作者： Zhenzhe Sun Chengnian Long Mary Ann Weitnauer Shanghai Jiao Tong University Shanghai CN Dept. of Automation Key Lab. of System Control and Information Processing Ministry of Education School of Electronic and Computer Engineering Georgia Institute of Technology Atlanta Georgia

This paper describes a new method for how interfering MIMO links might transmit more effectively in a random access network. We assume perfect transmitter-side channel state information, zero-forcing pre-coding to guarantee no interference on links that have already won access, and zero-forcing receiver processing at the still-contending links to suppress interference from the links that have already won. We define an effectiveness metric, the Instantaneous Equivalent SNR Percentile (IESP), in which the Equivalent SNR is the SNR of a single-input-single-output (SISO) link that would have the same capacity of a MIMO link after its interference constraints have been met and the IESP is the percentile of the Equivalent SNR, assuming independent Rayleigh fading. We propose that fairness among heterogeneous contending links be realized by giving the shorter contention window to the link with the higher IESP based on its own distribution, enabling links with few antennas to compete with links that have many antennas. Through simulation of the sum capacity of the winning set of links, the proposed contention window design is shown to provide a higher sum capacity than contention based on equal-sized windows.

关键词： Signal to noise ratio Receivers MIMO Interference Vectors Transmitters Frequency modulation

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