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Real-time charging optimization method considering vehicle charging prediction

Dianli Xitong Zidonghua/Automation of Electric Power systems 2014年第9期38卷 61-68页

作者： Li, Zhengshuo Guo, Qinglai Sun, Hongbin Xin, Shujun Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing100084 China

With large-scale electric vehicles (EVs) integrated into the power system, how to optimize EV charging power in real time to avoid incremental peak load and achieve valley-filling will be important. The regular real-time charging optimization as well as the vehicle charging prediction method is reviewed at first. Since vehicle charging (especially vehicle fleet charging) is predictable, a new real-time charging optimization model is proposed on the basis of the regular method with the consideration of the prediction model of incoming EVs. The new model is solved with receding horizon optimization, obtaining the current optimized charging power of plugged EVs. Through case study with various prediction accuracies, it can be seen that the proposed method always approaches the optimal solution to valley-filling. Moreover, compared with regular method, the proposed method would make a greater improvement of optimization result in the case of more diverse EV plug-in time. ©2014 State Grid Electric Power Research Institute Press.

关键词： Forecasting

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Grid dispatch model and interconnection benefit analysis of concentrating solar power plants with thermal storage

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Dianli Xitong Zidonghua/Automation of Electric Power systems 2014年第19期38卷 1-7页

作者： Chen, Runze Sun, Hongbin Li, Zhengshuo Liu, Yibing Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing100084 China

Nowadays, the concentrating solar power (CSP) plant with thermal storage is a new way to utilize solar power. By making full use of large-capacity CSP devices, the CSP system is able to translate the solar power absorbed. Additionally, the CSP generates power via a steam turbo-generator and has fast regulating performance. The operation behavior of CSP is studied from the viewpoint of power grid, based on which its mathematical model for dispatch is developed. The model describes the power flow inside the CSP with its major operation constraints. Furthermore, the model for power system dispatch considering CSP plants is built based on the security-constrained unit commitment problem. It is shown by simulation that CSP, on the premise of its energy being fully accommodated, may bring about considerable benefits to the power system by reducing the generation cost, increasing renewable energy accommodation and enhancing utilization of transmission lines. © 2014 State Grid Electric Power Research Institute Press.

关键词： Concentrated solar power

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A hierarchical model predictive control method of active power for accommodating large-scale wind power integration

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Dianli Xitong Zidonghua/Automation of Electric Power systems 2014年第9期38卷 6-14页

作者： Zhang, Boming Chen, Jianhua Wu, Wenchuan Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing100084 China

With the ever-increasing size of the power grid and the large-scale integration of stochastic renewable energy, the conventional active power dispatch method has become inapplicable. Therefore, a model predictive control (MPC) based method is proposed to deal with the stochastic characteristic of the grid. Meanwhile, a multi-layer MPC scheme using the industrial large system hierarchical control strategy as a source of reference is adopted to deal with the difficult active power dispatch problem with large-scale wind power integration. The evolutionary process and the corresponding control mechanism of the proposed control scheme are given. ©2014 State Grid Electric Power Research Institute Press.

关键词： Model predictive control

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Autonomous-synergetic energy management system family for smart grids: concept, architecture and cases

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Dianli Xitong Zidonghua/Automation of Electric Power systems 2014年第9期38卷 1-5and14页

作者： Sun, Hongbin Zhang, Boming Wu, Wenchuan Guo, Qinglai Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing100084 China

Energy management system (EMS), known as the brain of power grid, utilizes information flow to control energy flow so as to keep power grid operation efficient and secure. Conventionally, the EMS is a centralized one with both information collecting and decision-making centralized. This architecture is facing a serious challenge in mass information collecting and faster decision, especially in smart grid environment. A new concept of distributed autonomy and centralized synergy is proposed and the EMS family covering all sections of smart grids (e.g. source, grid and demand) is concretized. Both commonness and individuality of these EMS family members are discussed. Several new members of EMS family including wind farm EMS, substation EMS and electric vehicle (EV) aggregator EMS are presented, to demonstrate their autonomous characteristic. Interaction among EMS family members is introduced to coordinate the members so as to implement source-grid-demand synergy to form an EMS family network. Several examples of interaction among the EMS family, such as interactions between transmission and distribution, between substations and control center, and between wind farm and EV aggregator, are introduced. ©2014 State Grid Electric Power Research Institute Press.

关键词： Energy management systems

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A look-ahead generation dispatch method considering discrete generation regulation constraints with large-scale wind power integration

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Dianli Xitong Zidonghua/Automation of Electric Power systems 2014年第10期38卷 36-42页

作者： Li, Zhigang Wu, Wenchuan Zhang, Boming Sun, Hongbin Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing100084 China

Look-ahead generation dispatch is a critical measurement to accommodate large-scale integration of wind power generation. In real application, the model for conventional generators should involve generation regulation constraints including regulation frequency constraints and discrete output constraints. Look-ahead generation dispatch with regulation constraints is a large-scale nonlinear mixed-integer programming problem, and it could be hardly solved strictly within acceptable time. An efficient three-stage method for solving this problem is developed, together with a forward-backward-pass dynamic programming approach for handling generation regulation constraints. Numerical tests are taken on IEEE 31-bus systems and a large-scale 264-bus power system to verify the high efficiency and practicability of the proposed method.

关键词： Wind power

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A robust interval economic dispatch method accommodating large-scale wind power generation. Part one: Dispatch scheme and mathematical model

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Dianli Xitong Zidonghua/Automation of Electric Power systems 2014年第20期38卷 33-39页

作者： Li, Zhigang Wu, Wenchuan Zhang, Boming Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing100084 China

Large-scale wind power integration imposes technical challenges to the power system operation and scheduling. Traditional deterministic generation dispatch methods cannot ensure system operation security because they don't incorporate wind power uncertainties appropriately. A new robust dispatch scheme based on the wind power prediction interval is introduced for intra-day active power dispatch, in which wind farms are controlled with the maximum-power-point-tracking strategy mostly. This scheme is featured with flexibility and practicality. In combination with this scheme, a robust interval economic dispatch model is formulated as a robust optimization method and further simplified as a quadratic programming, taking the response of AGC regulation into consideration. Finally, Monte Carlos simulations are conducted on a modified IEEE 24-bus system to compare performance of the proposed approach and the traditional one, and the robustness, reliability and economy of the robust dispatch scheme is verified. © 2014 State Grid Electric Power Research Institute Press

关键词： Quadratic programming

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3D printed parts for cubesats;experiences from KySat-2 and printsat using Windform XT 2.0 2nd

3D printed parts for cubesats;experiences from KySat-2 and p...

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2nd International Academy of Astronautics Conference on Dynamics and control of Space systems, DyCoSS 2014

作者： Clements, Twyman Moore, Gil Clements, Alex Davis, Stewart White, Jim Wilt, David Holemans, Walter Rexroat, Jason Fite, Nathan Klumpar, Dave Malphrus, Benjamin Lumpp, James Kentucky Space LLC 200 W Vine St. LexingtonKY40507 United States Project PrintSat 3955 Sierra Vista Rd MonumentCO80132 United States Helios Aerosystems 163 E. Main St LexingtonKY40502 United States CRP USA LLC 119 Poplar Pointe Drive Unit A MooresvilleNC28117 United States Colorado Satellite Services LLC 45777 Rampart Rd ParkerCO80138 United States Air Force Research Laboratory AlbuquerqueNM United States Planetary Systems Corporation 2303 Kansas Ave Silver SpringMD20910 United States University of Kentucky LexingtonKY United States Space Science and Engineering Laboratory Montana State University BozemanMT59717 United States Department of Earth and Space Sciences Morehead State University MoreheadKY United States Department Electrical and Computer Engineering University of Kentucky LexingtonKY United States

ISBN: (纸本)9780877036173

The recent predominance of consumer level 3D printers has brought much attention towards the additive manufacturing process. On November 19th 2013 29 small satellites were launched from NASA's Wallops Flight Facility including KySat-2, a 1U CubeSat. KySat-2 was built with 10 additively manufactured, also called 3D printed, parts made from Windform XT 2.0, a material whose previous uses were mainly for automotive racing. Another 1U CubeSat, PrintSat, will be launched in 2014 and whose entire structure is built from the same material. This paper will discuss how each satellite used 3D printing, an overview of Windform XT 2.0, pros, cons and design considerations of 3D printing, and its future potential uses in the design and construction of spacecraft.

关键词： 3D printers

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Reactive Power control of DFIG Wind Farm Using Online Supplementary Learning controller Based on Approximate Dynamic Programming

Reactive Power Control of DFIG Wind Farm Using Online Supple...

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International Joint Conference on Neural Networks

作者： Wentao Guo Feng Liu Dawei He Jennie Si Ronald Harley Shengwei Mei State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University School of Electrical and Computer Engineering Georgia Institute of Technology Department of Electrical Engineering Arizona State University

ISBN: (纸本)9781479914821

Dynamic reactive power control of doubly fed induction generators (DFIGs) plays a crucially important role in maintaining transient stability of power systems with high penetration of DFIG based wind generation. Based on approximate dynamic programming (ADP), this paper proposes an optimal adaptive supplementary reactive power controller for DFIGs. By augmenting a corrective regulation signal to the reactive power command of rotor-side converter (RSC) of a DFIG, the supplementary controller is designed to reduce voltage sag at the point of common connection (PCC) during a fault, and to mitigate output active power oscillation of the wind farm after a fault. As a result, the transient stability of both DFIG and the power grid is enhanced. An action dependent cost function is introduced to provide real-time online ADP learning control. Furthermore, a policy iteration algorithm using high-efficiency least square method is employed to train the supplementary controller in an online model-free manner. By using such techniques, the supplementary reactive power controller is endowed with capability of online optimization and adaptation. Simulations carried out on a benchmark power system integrating a large DFIG wind farm show that the ADP based supplementary reactive power controller can significantly improve the transient system stability in changing operation conditions.

关键词： Reactive power Wind farms Reactive power control Cost function Rotors Training Voltage control

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Erratum to: The whole genome sequence of the Mediterranean fruit fly, Ceratitis capitata (Wiedemann), reveals insights into the biology and adaptive evolution of a highly invasive pest species

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Genome biology 2017年第1期18卷 11页

作者： Alexie Papanicolaou Marc F Schetelig Peter Arensburger Peter W Atkinson Joshua B Benoit Kostas Bourtzis Pedro Castañera John P Cavanaugh Hsu Chao Christopher Childers Ingrid Curril Huyen Dinh HarshaVardhan Doddapaneni Amanda Dolan Shannon Dugan Markus Friedrich Giuliano Gasperi Scott Geib Georgios Georgakilas Richard A Gibbs Sarah D Giers Ludvik M Gomulski Miguel González-Guzmán Ana Guillem-Amat Yi Han Artemis G Hatzigeorgiou Pedro Hernández-Crespo Daniel S T Hughes Jeffery W Jones Dimitra Karagkouni Panagiota Koskinioti Sandra L Lee Anna R Malacrida Mosè Manni Kostas Mathiopoulos Angela Meccariello Monica Munoz-Torres Shwetha C Murali Terence D Murphy Donna M Muzny Georg Oberhofer Félix Ortego Maria D Paraskevopoulou Monica Poelchau Jiaxin Qu Martin Reczko Hugh M Robertson Andrew J Rosendale Andrew E Rosselot Giuseppe Saccone Marco Salvemini Grazia Savini Patrick Schreiner Francesca Scolari Paolo Siciliano Sheina B Sim George Tsiamis Enric Ureña Ioannis S Vlachos John H Werren Ernst A Wimmer Kim C Worley Antigone Zacharopoulou Stephen Richards Alfred M Handler Hawkesbury Institute for the Environment Western Sydney University Sydney Australia. Justus-Liebig-University Giessen Institute for Insect Biotechnology 35394 Giessen Germany. Department of Biological Sciences Cal Poly Pomona Pomona CA 91768 USA. Department of Entomology and Center for Disease Vector Research University of California Riverside Riverside CA 92521 USA. Interdepartmental Graduate Program in Genetics Genomics & Bioinformatics University of California Riverside Riverside CA 92521 USA. Department of Biological Sciences University of Cincinnati Cincinnati OH 45221 USA. Insect Pest Control Laboratory Joint FAO/IAEA Programme of Nuclear Techniques in Food and Agriculture Seibersdorf Vienna Austria. Department of Environmental and Natural Resources Management University of Patras Agrinio Greece. Department of Environmental Biology Centro de Investigaciones Biológicas CSIC 28040 Madrid Spain. Human Genome Sequencing Center Department of Human and Molecular Genetics Baylor College of Medicine 77030 Houston TX USA. National Agricultural Library USDA 20705 Beltsville MD USA. Georg-August-Universität Göttingen Johann-Friedrich-Blumenbach-Institut für Zoologie und Anthropologie 37077 Göttingen Germany. Department of Biology University of Rochester 14627 Rochester NY USA. Department of Biological Sciences Wayne State University 48202 Detroit MI USA. Department of Biology and Biotechnology University of Pavia 27100 Pavia Italy. USDA-ARS Pacific Basin Agricultural Research Center 96720 Hilo HI USA. DIANA-Lab Department of Electrical & Computer Engineering University of Thessaly 382 21 Volos Greece and Hellenic Pasteur Institute 11521 Athens Greece. Department of Entomology University of Illinois at Urbana-Champaign 61801 Urbana IL USA. Department of Biological Sciences Oakland University 48309 Rochester MI USA. Department of Biochemistry and Biotechnology University of Thessaly Larissa Greece. Department of Biology Univer

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A Frequency-Sensing Readout using Piezoelectric Sensors for Sensing of Physiological Signals

A Frequency-Sensing Readout using Piezoelectric Sensors for ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Dilpreet Buxi Jean-Michel Redoute Mehmet Rasit Yuce Biomedical Integrated Circuits and Sensors (BICS) Laboratory at the Department of Electrical and Computer Systems Engineering Monash University

ISBN: (纸本)9781424479276

Together with a charge or voltage amplifier, piezoelectric sensors are commonly used to pick up physiological vibrations from the body. As an alternative to chopper or auto-zero amplifiers, frequency sensing is known in literature to provide advantages of noise immunity, interfacing to digital readout systems as well as tunable range of sensing. A frequency-sensing readout circuit for sensing low voltage signals from piezoelectric sensors is successfully developed and tested in this work. The output voltage of a piezoelectric sensor is fed to a varactor, which is part of an Colpitts LC oscillator. The oscillation frequency is converted into a voltage using a phase locked loop. The circuit is compared to a reference design in terms of linearity, noise and transfer function. The readout has a input-referred noise voltage of 2.24μV/{the square root of}(Hz) and consumes 15 mA at 5V supply. Arterial pulse wave signals and the cardiac vibrations from the chest are measured from one subject to show the proof of concept of the proposed readout. The results of this work are intended to contribute towards alternative low noise analog front end designs for piezoelectric sensors.

关键词： Sensors Noise Phase locked loops Frequency modulation Voltage-controlled oscillators Electrocardiography

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