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International Conference on Renewable Power Generation, RPG 2015

作者： Xiao, Yunqi Zhang, Xiaohang Chen, Minna State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China School of Control and Computer Engineering North China Electric Power University China

ISBN: (纸本)9781785610400

Nowadays, active power reference of wind farm from power grid dispatch center should be allocated to wind turbines. In traditional way, centralized control is commonly adopted for active power allocation, in which, total power reference is dispatched to every wind turbine by a central controller. However, it has several disadvantages, such as complex computation and low flexibility, especially for wind farms with large number of wind turbines. Therefore, a Multi-Agent based collaboration control strategy for active power dispatching in wind farms is proposed to improve operation performance. Firstly, a Multi-Agent based control structure for wind farm is designed, which includes wind turbine agent, group manager agent and central manager agent. Secondly, coordination control strategy among different agents is designed in detail. Finally, a Multi-Agent control model of wind farm is established based on Java/jade platform, and simulation results verify the efficiency of strategy proposed.

关键词： Wind farm

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A random early detection based active queue management algorithm in power optical communication network

A random early detection based active queue management algor...

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作者： Liu, Zhao Tang, Liangrui Yan, Jiangyu State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District Beijing China School of Control and Computer Engineering North China Electric Power University Changping District Beijing China

ISBN: (纸本)9781138028302

According to the different QoS requirements of services in power communication network, a random early detection based active queue management algorithm combined with the differentiated service model is proposed in this paper. The congested queue can take advantage of other idle queues to ensure the QoS requirement of the high priority queue. The simulation shows that the algorithm presented in this paper has better performance in reducing the overall packet loss rate and enhancing the utilization ratio of buffer. © 2015 Taylor & Francis Group, London.

关键词： Quality of service

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A generalized piecewise quadratic lyapunov function approach to estimating the domain of attraction of a saturated system

A generalized piecewise quadratic lyapunov function approach...

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1st IFAC Conference on Modelling, Identification and control of Nonlinear systems, MICNON 2015

作者： Li, Yuanlong Lin, Zongli Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia CharlottesvilleVA229044743 United States

This paper revisits the problem of estimating the domain of attraction of a saturated system with an algebraic loop. A piecewise quadratic Lyapunov function of an augmented state vector composing of the system state and the saturated input has been proposed for use in estimating the domain of attraction for a saturated system. Considering the relationship between the system states and the saturation function, we propose in this paper a generalized piecewise quadratic Lyapunov function, which results from adding a term that characterizes the regional sector condition of the saturated input to the piecewise quadratic Lypunov function. The matrix associated with the generalized piecewise quadratic Lyapunov function is not required to be positive definite, and thus a set of less conservative stability conditions are established, from which a larger estimate of the domain of attraction can be obtained. Simulation results indicate that the effectiveness and superiority of the proposed method.

关键词： Lyapunov functions

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A layered interconnected graph model based algorithm for traffic grooming in optical transport network

A layered interconnected graph model based algorithm for tra...

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作者： Dong, Xijie Tang, Liangrui Yan, Jiangyu A State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District Beijing China B School of control and computer engineering North China Electric Power University Changping District Beijing China

ISBN: (纸本)9781138028302

In order to solve the problem of low wavelength resource utilization caused by the huge gap between the capacity need by the service and the single wavelength capacity in OTN, a Layered Interconnected Graph Model (LIGM) based algorithm for Traffic grooming is presented. The LIGM is based on the optical network physical topology, and the costs of every link represent the optical network resources. The initial solution set is calculated with the grooming path optimization selection strategy and the optimal grooming route is chosen from the set with the O/E/O number of each path. By adapting the load balancing mechanism, the algorithm can perfectly solve the problem of traffic grooming in optical networks. The simulation shows that, compared with other traffic grooming algorithms, the algorithm LIGA effectively reduces the blocking probability and makes full use of the optical network resource at the same time. © 2015 Taylor & Francis Group, London.

关键词： Fiber optic networks

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Boundary feedback control of open canals with a Riemann invariants approach

Boundary feedback control of open canals with a Riemann inva...

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作者： Cen, Lihui Xi, Yugeng Li, Dewei Cen, Yigang Department of Control Engineering Central South University Changsha Hunan Province China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China Department of Automation Shanghai Jiaotong University Shanghai200240 China School of Computer and Information Technology Beijing Jiaotong University Beijing China

This paper proposes a boundary feedback control design for open canal networks using the linearization of boundary conditions. For open canal networks with any types of cross-sections, which can be modelled by the Saint-Venant equations, the characteristic form in terms of Riemann invariants has been established. Under this established characteristic form, the stabilizing boundary control law has been developed by linearizing the boundary conditions for both a single reach and the open-channel network composed by multi-reaches in a cascade. The design of the boundary feedback control laws for both a single canal and the cascaded networks is illustrated in a unified framework, which extends the results in the literature. © The Author(s) 2014.

关键词： Boundary conditions

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Mixed H2/H- pitch control of wind turbine generator system based on exact linearization and regional pole placement 33

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

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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Zhu, Mu Liu, Jizhen Lin, Zhongwei 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

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 H2/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. © 2014 TCCT, CAA.

关键词： Wind power

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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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第三十三届中国控制会议

作者： ZHU Mu LIU Jizhen LIN Zhongwei State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer EngineeringNorth China Electric Power University

ISBN: (纸本)9781479947249

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 H2/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 turbine,mixed H2/H∞ control,pole placement,exact linearization,pitch control

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A Heterogeneous Wireless Network Selection Algorithm for Smart Distribution Grid

A Heterogeneous Wireless Network Selection Algorithm for Sma...

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International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery

作者： Jiangyu Yan Xiaoyan Wang Shuxian Li Liangrui Tang School of Control and Computer Engineering North China Electric Power University Beijing China State Grid East Inner-Mongolia Electric Power Company Limited State Grid East Inner-Mongolia Electric Power Company Limited Inner-Mongolia China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University) North China Electric Power University Beijing China

ISBN: (纸本)9781509040940

In order to meet the smart distribution grid's demand for communicating, a heterogeneous wireless network selection model is built. This model has 3 goals, real-time services' blocking rate, non-real-time services' mean transmission time, and network load. And the model is simulated by using the quantum clonal immune multi-objective optimization algorithm. Compared to the MLB algorithm and RBF-FNN algorithm, the simulating results show that the proposed algorithm has better performance in real-time service blocking rate, mean transmission time of non-real-time services and network load balancing.

关键词： Smart distribution grid Heterogeneous wireless network selection Multi-objective optimization

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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

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Nature 2023年第7965期618卷 E19-E20页

作者： Sarah E Graham Shoa L Clarke Kuan-Han H Wu Stavroula Kanoni Greg J M Zajac Shweta Ramdas Ida Surakka Ioanna Ntalla Sailaja Vedantam Thomas W Winkler Adam E Locke Eirini Marouli Mi Yeong Hwang Sohee Han Akira Narita Ananyo Choudhury Amy R Bentley Kenneth Ekoru Anurag Verma Bhavi Trivedi Hilary C Martin Karen A Hunt Qin Hui Derek Klarin Xiang Zhu Gudmar Thorleifsson Anna Helgadottir Daniel F Gudbjartsson Hilma Holm Isleifur Olafsson Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben M Brumpton Humaira Rasheed Sanni E Ruotsalainen Aki S Havulinna Yogasudha Veturi QiPing Feng Elisabeth A Rosenthal Todd Lingren Jennifer Allen Pacheco Sarah A Pendergrass Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E Miller Archie Campbell Kuang Lin Iona Y Millwood George Hindy Asif Rasheed Jessica D Faul Wei Zhao David R Weir Constance Turman Hongyan Huang Mariaelisa Graff Anubha Mahajan Michael R Brown Weihua Zhang Ketian Yu Ellen M Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian'an Luan Jing-Hua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina-Gomez Achilleas Pitsillides Jouke Jan Hottenga Gonneke Willemsen Andrew R Wood Yingji Ji Zishan Gao Simon Haworth Ruth E Mitchell Jin Fang Chai Mette Aadahl Jie Yao Ani Manichaikul Helen R Warren Julia Ramirez Jette Bork-Jensen Line L Kårhus Anuj Goel Maria Sabater-Lleal Raymond Noordam Carlo Sidore Edoardo Fiorillo Aaron F McDaid Pedro Marques-Vidal Matthias Wielscher Stella Trompet Naveed Sattar Line T Møllehave Betina H Thuesen Matthias Munz Lingyao Zeng Jianfeng Huang Bin Yang Alaitz Poveda Azra Kurbasic Claudia Lamina Lukas Forer Markus Scholz Tessel E Galesloot Jonathan P Bradfield E Warwick Daw Joseph M Zmuda Jonathan S Mitchell Christian Fuchsberger Henry Christensen Jennifer A Brody Mary F Feitosa Mary K Wojczynski Michael Preuss Massimo Mangino Paraskevi Christofidou Niek Verweij Jan W Benjamins Jorgen Engmann Rachel L Kember Roderick C Slieker Ken Sin Lo Nuno R Zilhao Phuong Le Marcus E Kleber Graciela E Delgado Shaofeng Huo Dai Department of Internal Medicine Division of Cardiology University of Michigan Ann Arbor MI USA. VA Palo Alto Health Care System Palo Alto CA USA. Department of Medicine Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Department of Biostatistics and Center for Statistics Genetics University of Michigan Ann Arbor MI USA. Department of Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Clinical Pharmacology William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK. Endocrinology Boston Children's Hospital Boston MA USA. Medical and Population Genetics Broad Institute Cambridge MA USA. Department of Genetic Epidemiology University of Regensburg Regensburg Germany. McDonnell Genome Institute and Department of Medicine Washington University St Louis MO USA. Department of Precision Medicine Division of Genome Science National Institute of Health Cheongju-si South Korea. Tohoku Medical Megabank Organization Tohoku University Sendai Japan. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa. Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA. Blizard Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Wellcome Sanger Institute Hinxton UK. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA. Atlanta VA Health Care System Decatur GA USA. Malcolm Randall VA Medical Center Gainesville FL USA. Division of Vascular Sur

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Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026

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The Lancet Global Health 2023年第3期11卷 e385-e413页

作者： Micah, Angela E. Bhangdia, Kayleigh Cogswell, Ian E. Lasher, Dylan Lidral-Porter, Brendan Maddison, Emilie R. Nguyen, Trang Nhu Ngoc Patel, Nishali Pedroza, Paola Solorio, Juan Stutzman, Hayley Tsakalos, Golsum Wang, Yifeng Warriner, Wesley Zhao, Yingxi Zlavog, Bianca S. Abbafati, Cristiana Abbas, Jaffar Abbasi-Kangevari, Mohsen Abbasi-Kangevari, Zeinab Abdelmasseh, Michael Abdulah, Deldar Morad Abedi, Aidin Abegaz, Kedir Hussein Abhilash, E.S. Aboagye, Richard Gyan Abolhassani, Hassan Abrigo, Michael R.M. Abubaker Ali, Hiwa Abu-Gharbieh, Eman Adem, Mohammed Hussien Afzal, Muhammad Sohail Ahmadi, Ali Ahmed, Haroon Ahmed Rashid, Tarik Aji, Budi Akbarialiabad, Hossein Akelew, Yibeltal Al Hamad, Hanadi Alam, Khurshid Alanezi, Fahad Mashhour Alanzi, Turki M. Al-Hanawi, Mohammed Khaled Alhassan, Robert Kaba Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Amare, Azmeraw T. Ameyaw, Edward Kwabena Amini-Rarani, Mostafa Amu, Hubert Ancuceanu, Robert Andrei, Tudorel Anwar, Sumadi Lukman Appiah, Francis Aqeel, Muhammad Arabloo, Jalal Arab-Zozani, Morteza Aravkin, Aleksandr Y. Aremu, Olatunde Aruleba, Raphael Taiwo Athari, Seyyed Shamsadin Avila-Burgos, Leticia Ayanore, Martin Amogre Azari, Samad Baig, Atif Amin Bantie, Abere Tilahun Barrow, Amadou Baskaran, Pritish Basu, Sanjay Batiha, Abdul-Monim Mohammad Baune, Bernhard T. Berezvai, Zombor Bhardwaj, Nikha Bhardwaj, Pankaj Bhaskar, Sonu Boachie, Micheal Kofi Bodolica, Virginia Botelho, João Silva Botelho Braithwaite, Dejana Breitborde, Nicholas J.K. Busse, Reinhard Cahuana-Hurtado, Lucero Catalá-López, Ferrán Chansa, Collins Charan, Jaykaran Chattu, Vijay Kumar Chen, Simiao Chukwu, Isaac Sunday Dadras, Omid Dandona, Lalit Dandona, Rakhi Dargahi, Abdollah Debela, Sisay Abebe Denova-Gutiérrez, Edgar Desye, Belay Dharmaratne, Samath Dhamminda Diao, Nancy Doan, Linh Phuong Dodangeh, Milad dos Santos, Wendel Mombaque Doshmangir, Leila Dube, John Eini, Ebrahim El Sayed Zaki, Maysaa El Tantawi, Maha Enyew, Daniel Berhanie Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Applied Mathematics University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Nuffield Department of Medicine University of Oxford Oxford United Kingdom Department of Juridical and Economic Studies La Sapienza University Rome Italy Antai College of Economics Shanghai Jiao Tong University Shanghai China Non-communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Multiple Sclerosis Research Center Tehran University of Medical Sciences Tehran Iran Children’s Medical Center Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Tehran Heart Center Tehran University of Medical Sciences Tehran Iran Faculty of Medicine Tehran University of Medical Sciences Tehran Iran National Institute for Health Research Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Department of Cardiology Tehran University of Medical Sciences Tehran Iran Sina Trauma and Surgery Research Center Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Department of Neurology Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Epidemiology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Health Economics and Statistics Shahid Beheshti University of Medical Sciences Tehran Iran Department of Neurosurgery Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic R

Background: The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic;characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic;and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. Methods: In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting system (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. Findings: In 2019, at the onset of the COVID-19 pandemic, US$9·2 trillion (95% uncertainty interval [UI] 9·1–9·3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7·3 trillion (95% UI 7·2–7·4) in 2019;293·7 times the $24·8 billion (95% UI 24·3–25·3) spent by low-income countries in 2019. That same year, $43·1 billion in development assistance was provided

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