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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Yan, Zhiguo Zhang, Weihai Lin, Zhongwei School of Electrical Engineering and Automation Qilu University of Technology Jinan Shandong250353 China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao Shandong266590 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789881563842

This paper deals with the finite-time stability and stabilization for continuous-time linear stochastic time-varying systems. Several necessary and sufficient conditions and a sufficient condition for finite-time stability are derived. Moreover, a sufficient condition for the existence of state feedback controller is given. Such results involve the feasibility problems of differential linear matrix inequalities with terminal constraint. © 2014 TCCT, CAA.

关键词： Stochastic systems

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Optimization and decision for limiting short circuit current considering sensitivity ranking

Optimization and decision for limiting short circuit current...

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International Conference on power system Technology (powerCON)

作者： Dong Yang Kang Zhao Yan Zhao Yutian Liu State Grid Shandong Electric Power Research Institute Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China

ISBN: (纸本)9781479950331

Limiting short circuit current and increasing power system stability is a contradiction. An optimization and decision model for limiting short circuit current considering sensitivity ranking is established. Firstly, the influence on impedance matrix caused by current limiting measures is analyzed, and a variable selection strategy considering the sensitivity relation between current limiting measures and node self-impedance is proposed. Secondly, the objective functions which minimize the total investment costs and the short circuit capacity margin are presented, and an adaptive hybrid particle swarm optimization algorithm is used to find a scheme set. Finally, a comprehensive evaluation model is established based analytic hierarchy process and the systematic and quantitative assessments are realized by the fuzzy algorithm. simulation results of the practical power grid demonstrated the efficiency and speediness of this proposed model.

关键词： Limiting Short-circuit currents Current measurement Optimization Inductors power system stability Sensitivity

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Generalized impedance-based fault distance calculation mehtod for power distribution systems

Generalized impedance-based fault distance calculation mehto...

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IEEE PES Asia-Pacific power and Energy Engineering Conference (APPEEC)

作者： Kongming Sun Qing Chen Zhanjun Gao Dawei Liu Gonglin Zhang Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University) Ministry of Education Jinan China State Grid Fujian Electric Power Research Institute Fuzhou China

ISBN: (纸本)9781479975389

This paper presents a new impedance-based fault distance calculation formulation for power distribution systems. The majority of low- or medium- voltage distribution systems are characterized by having numerous branches, laterals and sub-laterals, highly unbalanced operation, and time varying load profile. All of these and other characteristics make most efficient approaches proposed for fault location in power distribution systems not applicable to distribution systems. The proposed method uses only measurements of voltage and current at the beginning of the analyzed feeder, and additional equipments such as, fault locators and monitoring devices are not needed to be installed in the distribution system. The apparent impedance is calculated by using the fundamental rms values of the measured voltage and current in this paper. This method is suitable to any kinds of fault and can be used to unbalanced power distribution systems, since it is derived in phase domain.

关键词： Fault location Voltage measurement Circuit faults power distribution Impedance Algorithm design and analysis

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Mixed H2/H− pitch control of wind turbine generator system based on exact linearization and regional pole placement

Mixed H2/H− pitch control of wind turbine generator system ...

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Chinese control Conference (CCC)

作者： Mu Zhu Jizhen Liu Zhongwei Lin State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing Beijing CN

When the wind power electricity system working above the rated wind speed, the disturbed wind speed can lead to the output power ripple easily, which causes a significant negative influence on the stability of the power grid. In order to overcome this disadvantage, this paper discusses the mixed H 2 /H ∞ pitch angle control design problem for the nonlinear wind turbine generator system (WTGS), where the turbulence is regarded as the disturbance input. Especially, the traditional exact linearization and the pole placement techniques are also applied to guarantee the desired control performance and expected dynamic characteristics in the situation of a large-scale variety of the system operation points. The simulation results show the effectiveness of the proposed method.

关键词： Wind speed Wind turbines Generators Rotors Torque Wind power generation

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Solving of interval DC power flow using interval Hull algorithm with preconditioning

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Dianli Xitong Zidonghua/Automation of Electric power systems 2014年第3期38卷 130-136页

作者： Ding, Tao Guo, Qinglai Bo, Rui Gu, Wei Sun, Hongbin Zhang, Boming Department of Electrical Engineering Tsinghua University Beijing 100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing 100084 China Midwest Independent Transmission System Operator Inc. Saint Paul 55108 United States School of Electrical Engineering Southeast University Nanjing 210096 China

With intermittent sources integrated into the power grid, power flows of the power grid are getting stochastic. Considering the uncertainty problem of DC power flow in the high voltage transmission system, this paper recommends an interval Hull algorithm with preconditioning to solve the interval DC power flow. Firstly, the diagonal dominant interval coefficient matrix is formed by preconditioning, then the H-matrix is obtained using the interval Hull algorithm. Different approximation methods are employed for the comparison matrix of H-matrix to improve precision. And the upper and lower bound of the distribution of interval DC power flow is obtained with the iterative method. The interval Hull algorithm and Monte Carlo algorithm are compared in the 9-bus test system, the result of which shows that the uncertainty in grid parameters is the main cause of errors. Furthermore, the Hull algorithm with preconditioning, the interval Hull method, the Krawczyk operator iteration method and the Gauss elimination method are compared in terms of accuracy and computing time on an IEEE 57-bus and an IEEE 118-bus test system, respectively. It is shown that the Hull method with preconditioning has the best accuracy, and the time complexity is far lower than that of the Monte Carlo algorithm. © 2014 state Grid Electric power Research Institute Press.

关键词： Iterative methods

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Robust consensus of second-order multi-agent systems with nonuniform time-delays and switching topologies

Robust consensus of second-order multi-agent systems with no...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Wenguang Zhang Deliang Zeng Yuguang Niu Taihua Chang Beijing Key Laboratory of Measurement & Control North China Electric Power University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781479938926

This paper studies the robust consensus problem for second-order multi-agent systems with nonuniform time-delays and switching topologies in the presence of external disturbances, where each agent has a self-delay and each delay is independent of each other. A neighbor-based rule is used for the agents with nonuniform time-delays and external disturbances. A sufficient condition is derived under which all agents achieve consensus while satisfying desired H ∞ performance. Finally, the effectiveness of the obtained theoretical results is demonstrated through numerical simulations.

关键词： Delays Multi-agent systems Trajectory Topology Switches Network topology Symmetric matrices

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An ANN strategy for luminance control of LED in response to power system frequency

An ANN strategy for luminance control of LED in response to ...

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International Conference on power system Technology (powerCON)

作者： Liqiang Gao Zhongkang Wei Xiaodong Chu Wen Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China Zhongkang Wei is with State Grid Jibei Electric Power Company Beijing China

ISBN: (纸本)9781479950331

controllable load can actively participate in power balance control, which will have positive impact on power system operation. Lighting load takes a significant proportion in the electricity demand. Many features of Light emitting diodes (LEDs), small size, high luminous efficiency and long lifetime, make them very attractive for use in lighting. An Artificial Neural Network (ANN) control strategy is designed for LED luminance control in response to power system frequency. The pulse width modulation (PWM) dimming method is used to realize luminance control of LED. In order to regulate the LED power demand in response to frequency measurement signal, the ANN control strategy adjusts the ratio between the on-time and off-time of the PWM dimming signal of LED. simulations are conducted to verify the effectiveness of the proposed the ANN control strategy.

关键词： Light emitting diodes power system stability Artificial neural networks Frequency control Pulse width modulation Biological neural networks

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Space charge behavior of XLPE/SiO2 nanocomposites with nanoparticle surface modification

Space charge behavior of XLPE/SiO2 nanocomposites with nanop...

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Electrical Insulation Conference and Electrical Manufacturing & Coil Winding Conference

作者： Ling Zhang Yuanxiang Zhou Xiaoyang Cui Yunxiao Zhang Qing Ye State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China State Key Laboratory of New Ceramics and Fine Processing Tsinghua University Beijing China School of Electrical Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9781479927906

Space charge behavior of XLPE/SiO 2 nanocomposites with nanoparticle surface modification via titanate(TC) and vinylsilance(VI) coupling agents was investigated. SEM results clearly show that TC and VI coupling agents improved nanoparticle dispersion within XLPE matrix due to the increasing surface hydrophobicity of SiO 2 nanoparticles. Space charge measurements under high electric field revealed that SiO 2 nanoparticles could not effectively suppress the injection and movement of space charge until organic surface modification, which was believed due to more and deeper trap sites considering the better dispersion of SiO 2 nanoparticles.

关键词： Space charge Electric breakdown Nanoparticles Nanocomposites Electric fields Surface morphology Anodes

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Modeling and analysis of unit commitment considering RCAES system

Modeling and analysis of unit commitment considering RCAES s...

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Chinese control Conference (CCC)

作者： Bin Liu Laijun Chen Yu Zhang Chen Fang Shengwei Mei Yuan Zhou State Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing Beijing CN Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company China Key Laboratory of Cryogenics Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing CN

Regenerative compressed air energy storage (RCAES) system is a practical and efficient solution to large-scale integration of renewable energy problems faced by power systems currently. Appropriately modeling of RCAES system is critical to its practical application, whereas research in this area has been very limited. According to the energy storage and transformation process, a concise model of RCAES system applicable to power scheduling field is proposed. Then, a unit commitment model with RCAES system is formulated as a MILP problem which can be accurately solved with high computation efficiency by CPLEX. A modified IEEE 39 bus system is used to study the impacts of parameters of RCAES system on unit commitment and the effectiveness of the proposed model is then validated. Furthermore, the proposed model can also be employed to optimize key parameters of RCAES system, e.g. efficiency and capacity of each part in an integrated way.

关键词： Energy storage Heating Computational modeling Wind power generation power grids Schedules

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Multi-objective optimal temperature control for Organic Rankine Cycle systems

Multi-objective optimal temperature control for Organic Rank...

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World Congress on Intelligent control and Automation (WCICA)

作者： Jianhua Zhang Mifeng Ren Jing Xiong Mingming Lin State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

The Organic Rankine Cycle (ORC) has attracted a lot of interests for its ability to recover low-grade heat and the possibility to be implemented in decentralized low-capacity power plants. In this paper, a new optimal temperature control method is proposed for ORC systems with non-Gaussian disturbances which influence the quality of exhaust gas. The objective here is to control the speed of the pump so that the superheated vapor temperature follows a target one. It means that the error between those two temperatures is minimized both in magnitude and randomness, which are characterized by mean value and entropy, respectively. Therefore, the proposed control strategy is regarded as a multi-objective optimization problem. To solve this problem, a Multi-Objective Estimation of Distribution Algorithm (MOEDA) is adopted to obtain all the possible optimal control inputs. simulation results show the effectiveness of the proposed technique.

关键词： Fluids Entropy Estimation Waste heat Linear programming Heating

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