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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Xingquan Ji Yumin Zhang Pingfeng Ye Xueshan Han Bo Xu Ziyang Yin College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Energy Research Institute Co. Beijing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

Distributed energy resource (DER) including wind power, solar energy and energy storage system (ESS) are connected to the active distribution network (ADN) in various combination ways, which makes the distribution network have interaction. As a bridge connecting the transmission grid (TG) and micro grid (MG), ADN breaks the traditional operation pattern of TG+ADN+MG. Considering the physical connections and shared information among TG, ADN and MG, this paper proposes a decentralized and parallel analytical target cascading (ATC) algorithm for TG+ADN+MG multi-level co-optimization dispatch considering primary and secondary frequency regulation. To explore the synergistic ability of the TG+ADN+MG coping with uncertainties of DER, i.e., wind power, the primary and secondary frequency regulation of TG are implemented to cope with uncertainties. Furthermore, the distributional uncertainties of wind power and load are well modeled by data driven, which is proposed in our previous work [1]. An improved 6-bus system is used to test the proposed model, the numerical results illustrate the effectiveness and efficiency of the proposed method.

关键词： Couplings Uncertainty power systems Optimization Load modeling Generators Frequency control

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Topology Identification Method of Urban power Grid Based on 5G Communication

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IOP Conference Series: Earth and Environmental Science 2021年第1期770卷

作者： Qi Tu Xin Li Houlei Gao State Grid Shanghai Municipal Electric Power Company Shanghai 200122 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan Shandong 250061 China

With the development of 5G communication technology and intelligent terminal technology of urban power grid, intelligent distributed control mode independent of master station will become the trend of intelligent distribution network in the future. The characteristics of flexible configuration and strong scalability make 5G communication technology provide a wireless solution, which greatly gets rid of the constraints of communication cables and promotes the popularization and application of intelligent distributed control technology. Based on 5G communication technology, this paper proposes a distributed topology identification method. In this solution, each Smart Terminal Unit (STU) only needs to configure its associated static network topology information, and each STU forms dynamic network topology information according to certain topology identification rules. The purpose of identifying topological information is to use the information to provide topological information support for advanced functions of the distribution network, such as reclosing, identification of distributed power islands, and restoration of non-faulty section power supply.

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Wind and Storage Cooperative Scheduling Strategy Based on Deep Reinforcement Learning Algorithm 2

Wind and Storage Cooperative Scheduling Strategy Based on De...

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2019 2nd International Conference on Advanced Algorithms and control Engineering, ICAACE 2019

作者： Qin, Jingtao Han, Xueshan Liu, Guojing Wang, Shang Li, Wenbo Jiang, Zhe Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong Province Jinan250061 China State Grid Jiangsu Electric Power Company Economic Research Institute Jiangsu Province Nanjing210008 China Tianjin Chengdong Power Supply Company Hedong District Tianjin300250 China State Grid Shandong Electric Power Research Institute Jinan 250003 Shandong Province China

Wind energy has become one of the most promising new energy sources in the context of the global energy interconnection. However, the inherent uncertainty of wind power and the volatility of its output make it difficult to join the internet for scheduling. The uncertainty of the output must be reduced or even eliminated by certain methods. In this paper, wind power and energy storage are coordinated to eliminate the uncertainty of wind power output, and to reduce the burden on the grid while ensuring the long-term operation of wind farms. This paper first introduces Q-learning in reinforcement learning as a controller. Through a large number of historical wind power data training, the controller has good decision-making ability, so as to reduce the punishment caused by wind power uncertainty;then the Q-learning is improved aiming at the maximum average income of the stage. Finally, the Q-value network is established with conventional Q-learning and improved Q-learning. The DQN algorithm in the deep reinforcement learning algorithm is introduced for deep training and decision-making and the three algorithms are verified. The result proves that the deep reinforcement learning algorithm can achieve better control effect than Q-learning. © Published under licence by IOP Publishing Ltd.

关键词： Wind power

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H∞ state Estimation for Stochastic Jumping Neural Networks with Fading Channels Over a Finite-Time Interval

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Neural Processing Letters 2019年第1期50卷 1-18页

作者： Shen, Liang Shen, Hao Gao, Mingming Liu, Yajuan Huang, Xia School of Electrical and Information Engineering Anhui University of Technology Ma’anshan243002 China School of Metallurgical Engineering Anhui University of Technology Ma’anshan243002 China The State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao266590 China

In the work, a class of Markov jump neural networks in the discrete-time domain with fading channels are taken into account. The main aim is to investigate the H∞ state estimation issue when the Rice fading occurs in measured networks. In the first place, the analyses of the finite-time boundedness and the H∞ performance for the estimation error system with the aid of finite-time stability theory are presented. Some conditions which guarantee the solvability of the addressed problem are established. Furthermore, by applying an unique decoupling method, the gains of the presented estimator are obtained under the feasible solutions of the conditions derived before. Finally, the validity of the presented approach is verified by a numerical example. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

关键词： state estimation

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ANALYSIS OF FATIGUE LIFE LOSS OF DRIVETRAIN OF DOUBLY-FED WIND TURBINES UNDER SHORT-CIRCUIT FAULT OF power GRID

ANALYSIS OF FATIGUE LIFE LOSS OF DRIVETRAIN OF DOUBLY-FED WI...

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International Conference on Renewable power Generation

作者： Qiu Shilong Li Hui Gong Lijiao Wang Bin Chai Zhaoseng Wu You Department of Mechanical and Electrical Engineering Shihezi University Shihezi China State Key Laboratory of Power Drivetrain Equipment and System Security Chongqing University Chongqing China State Key Lab of Control and Simulation of Power Systems and Generation Equipments (Department of Electrical Engineering) Tsinghua University Haidian District Beijing China State Key Laboratory of Power Drivetrain Equipment and System Security Chongqing University Chongqing China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The shafting drivetrain of the doubly fed wind turbine is the part with the highest failure rate. The electromagnetic torque fluctuation caused by the grid fault easily results in the torsional vibration fatigue loss of the shaft. Accordingly, the influences of drivetrain fatigue life loss under different grid faults require investigation. Firstly, the four-mass model of the drivetrain is constructed on the basis of MATLAB/Simulink. Secondly, the electromagnetic torque response under short-circuit fault of the grid is obtained via model simulation. Finally, the effects of different types of grid faults on the fatigue life of the drivetrain are analysed through Mlife. Results show that the electromagnetic torque fluctuation load generated by grid fault has no apparent influence on the fatigue life of the drivetrain in the short term, but the cumulative effect of short-term damage will aggravate the fatigue life loss of the drivetrain and increase the failure risk of the component. The electromagnetic torque generated by the three-phase symmetrical short-circuit is the most violent and has the maximum effect on the fatigue life of the drivetrain.

关键词： WIND TURBINE SHORT-CIRCUIT FAULT TORSIONAL VIBRATION FATIGUE LIFE DRIVETRAIN

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Estimation of pregnancy losses attributable to exposure to ambient fine particles in south Asia: an epidemiological case-control study

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The Lancet Planetary Health 2021年第1期5卷 e15-e24页

作者： Xue, Tao Guan, Tianjia Geng, Guannan Zhang, Qiang Zhao, Yong Zhu, Tong Institute of Reproductive and Child Health Ministry of Health Key Laboratory of Reproductive Health Peking University Beijing China Department of Epidemiology and Biostatistics School of Public Health Peking University Beijing China School of Public Health Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing China College of Liberal Arts and Sciences University of Connecticut Storrs CT United States BIC-ESAT and SKL-ESPC College of Environmental Science and Engineering Peking University Beijing China

Background: Maternal exposure to ambient particulate matter (PM2·5) is associated with pregnancy loss (ie, stillbirth and miscarriage). South Asia has the highest burden of pregnancy loss globally and is one of t...

Background: Maternal exposure to ambient particulate matter (PM_2·5) is associated with pregnancy loss (ie, stillbirth and miscarriage). South Asia has the highest burden of pregnancy loss globally and is one of the most PM_2·5 polluted regions in the world. However, knowledge of the relevant exposure–response function for mothers is insufficient. Methods: In this epidemiological case-control study, we collected data from Demographic and Health Surveys from India, Pakistan, and Bangladesh for the period 1998–2016 for women who reported at least one pregnancy loss and one or more livebirths. We assessed ambient exposure during gestation with satellite-based PM_2·5 measurements for the period. To derive the exposure–response function, we did a self-compared case-control study in which each case of pregnancy loss was compared with a successful livebirth control or controls by the same mother. Using the estimated exposure–response function, we quantified pregnancy losses attributable to PM_2·5 in the region for the period 2000–16 using a standard risk assessment approach. Findings: We assessed data for 34 197 mothers, who had at least one pregnancy loss and one or more livebirth, of whom 26 282 (76·9%) were from India, 4228 (12·4%) were from Pakistan, and 3687 (10·8%) were from Bangladesh. The 34 197 cases of pregnancy loss were matched with 76 282 livebirth controls. The mean level of PM_2·5 exposure was 56·00 μg/m³ (SD 30·82) for cases and 54·57 μg/m³ (31·73) for controls. After adjustment for maternal age, non-linear terms for temperature and humidity, seasonal variation, and long-term trends, each 10 μg/m³ increment in PM_2·5 was associated with an odds ratio for pregnancy loss of 1·03 (95% CI 1·02–1·05). According to the estimated non-linear exposure–response function by age and urban residence versus rural residence, for the period 2000–16, an estimated 349 681 (95% CI 152

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Corrigendum to 'Transition in air pollution, disease burden and health cost in China: A comparative study of long-term and short-term exposure' [Environmental Pollution 277 (2021) Start page 4-End page 4/116770]

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Environmental pollution (Barking, Essex : 1987) 2023年 329卷 121714页

作者： Jun Liu Hao Yin Xiao Tang Tong Zhu Qiang Zhang Zhu Liu XiaoLong Tang HongHong Yi Department of Environmental Engineering School of Energy and Environmental Engineering University of Science and Technology Beijing Beijing 100083 PR China Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants University of Science and Technology Beijing Beijing 100083 PR China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing 100084 PR China. Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing 100084 PR China School of Population and Public Health The University of British Columbia Vancouver BC Canada Energy and Resources Group University of California Berkeley CA USA. State Key Laboratory of Atmospheric Boundary Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 PR China. State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing 100871 PR China. Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants University of Science and Technology Beijing Beijing 100083 PR China. Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants University of Science and Technology Beijing Beijing 100083 PR China. Electronic address: yihonghong@***.

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An Analysis of the Effects of Flexibility Modification on system Frequency Regulation 2

An Analysis of the Effects of Flexibility Modification on Sy...

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2nd IEEE International Conference on power and Energy Applications, ICPEA 2019

作者： Yuguang, Niu Ming, Du Enfu, Dong Ke, Zhou Weichun, Ge Huanhuan, Luo State Key Laboratory for Alternate Electric Power System with Renewable Energy Source North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China State Grid Liaoning Electric Power Supply CO. LTD Shenyang Liaoning Province110004 China Xi'an Thermal Power Research Institute CO. LTD Xi'an Shanxi Province710054 China

ISBN: (纸本)9781728115962

With the flexibility modification of thermal power plant, the minimum technical output of units has been reduced. Different kinds of operating modes can be chosen by operators of power grids, which will influence the frequency regulation of power grids. The mathematical model of reheater steam turbine and load frequency control (LFC) are established considering flexibility modification of thermal power plants. Two scenarios are created and simulations are carried out. The results indicate that with the increase of units investigated in power system, the frequency deviation decrease obviously in both a stand-alone control area and two interconnected control areas. The conclusions presented here provide some guidance on operation of thermal power plants in regions to reduce the amplitude of frequency oscillation. © 2019 IEEE.

关键词： Frequency response

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Vulnerability Assessment Based on Operational Reliability Weighted and Preventive Planning

Vulnerability Assessment Based on Operational Reliability We...

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Sustainable power and Energy Conference (iSPEC)

作者： Ning Qi Lin Cheng Yi Jiang Jinshan Luo Ke Sun Dan Wang Weiyuan Wang Wentao Sun State Key Lab. of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China State Grid Jiangsu Economic Research Institute Jiangsu China

Vulnerability assessment is the key to the security and stability analysis of power system. During the operation of power grid, the fault risk of electrical equipment is not fixed because of the influence of system operating conditions, operating environment and equipment itself, so the vulnerability of power system will also be changeable. Based on the existing research results of complex network theory, a vulnerability assessment method considering operational reliability is proposed in this paper. Firstly, the basic idea of reliability weighted vulnerability assessment is introduced. Then HITS algorithm and PageRank algorithm will be used to analyze the basic vulnerability of power grid topology. Moreover, the vulnerability index of power grid considering reliability weighted is calculated. Finally, numerical analysis focusing on the difference between basic and improved assessment method is tested in IEEE RTS-79 system, and the preventive planning suggestions will be given based on the vulnerability assessment results.

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Vibration and Noise Emitted by Dry-type Air-core Reactors Under Sine-wave Current Excitation

Vibration and Noise Emitted by Dry-type Air-core Reactors Un...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Jingsong Li Baojun Qu Keping Yu State Key Laboratory of Control and Simulation of Power System and Generation Equipments Tsinghua University Beijing China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin China Global Information and Telecommunication Institute Waseda University Tokyo Japan

ISBN: (纸本)9781728133997

According to magneto-mechanical strong coupled effect, structure mode is discussed by engaging finite element (FE) method and both natural frequency and modal shape for a dry-type air-core reactor (DAR) are obtained in this paper. On the basis of harmonic response analysis, electromagnetic forces under sine-wave current excitation are mapped with the structure mesh, the vibration spectrums are gained and the consequences represent that the whole structure vibration predominates in the axial direction, with less radial vibration. Referring to the test standard of reactor noise, the rules of emitted noise of the DAR are measured and comparatively analyzed at power frequency and chosen other frequencies match the sample resonant frequency and the methods of active vibration and noise reduction are put forward. Finally, the low acoustic noise emission of a prototype DAR is verified by simulation and measurement.

关键词： Vibrations Acoustic measurements Noise measurement Acoustic noise Magnetomechanical effects Resonant frequency Harmonic analysis

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