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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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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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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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Reactive voltage control of bidirectional-interaction coordination between provincial and district power networks with wind power integration

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Dianli Xitong Zidonghua/Automation of Electric Power systems 2014年第24期38卷 48-55页

作者： Wang, Bin Guo, Qinglai Li, Haifeng Sun, Hongbin Tang, Lei Zhang, Boming State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing100084 China Department of Electrical Engineering Tsinghua University Beijing100084 China

An agile and coordinated voltage control method is proposed to deal with the power system reactive power and voltage operation with large scale wind power integration. In the provincial control center, the agile voltage control method with the wind power volatility and the power system N-1 security constraints taken into account is proposed. With this method, by means of the adaptive adjustment of the control period and control model, the wind farm reactive ability will be fully tapped to suppress the influence of wind fluctuations on the bus voltage while sufficient dynamic reactive power regulation margin of traditional generators will be retained. Between provincial and prefectural control centers, the bidirectional interaction based voltage control method is presented to support the voltage at the terminal power network while bypassing the unnecessary discrete device action on the prefectural grid. By coordinated voltage control among the wind farms and substations in the provincial power system, the control abilities of its own wind farms will be made full use of, there will be less capacitor and reactor action times in its own substations and unnecessary reactive power flow. By the bidirectional interaction between provincial and prefectural control centers, the distributed adjustment resources can well be used to support the voltage at the terminal power network and increase the safety and economy of overall operation of the power system. The wind automatic voltage control system is currently in real-time operation in Jiangsu power system. © 2014 State Grid Electric Power Research Institute Press.

关键词： Voltage control

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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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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 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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Modeling and Analysis of Unit Commitment Considering RCAES System 33

Modeling and Analysis of Unit Commitment Considering RCAES S...

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第三十三届中国控制会议

作者： LIU Bin CHEN Laijun ZHANG Yu FANG Chen MEI Shengwei ZHOU Yuan State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical EngineeringTsinghua University Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company Key Laboratory of Cryogenics Technical Institute of Physics and ChemistryChinese Academy of Sciences

ISBN: (纸本)9781479947249

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： unit commitment,regenerative,CAES,efficiency analysis,schedule

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Substation-control center two-level distributed network modeling

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Dianli Xitong Zidonghua/Automation of Electric Power systems 2014年第9期38卷 107-113and151页

作者： Wang, Jing Sun, Hongbin Chen, Runze Zhang, Yang 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 National Electric Power Dispatching and Control Center Beijing100031 China

As the traditional centralized network modeling for energy management system (EMS) in control center is error prone, heavily reliant on maintenance, and lacking in self-healing ability while unable to satisfy the needs of the distributed application of future transmission grid, a method of substation-control center two-level distributed network modeling is presented. The information model including the network model as well as one-line diagram is built in the substation, transferred to the control center after transformation, and then merged to form an entire network model in control center. The architecture and key technologies such as substation modeling, model transferring and transforming, model joining are discussed in detail. The proposed method has been successfully implemented in China Eastern Grid as shown in the field-application results. ©2014 State Grid Electric Power Research Institute Press.

关键词： Energy management systems

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