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International Conference on High Voltage Engineering and Application, ICHVE

作者： Sihang Gao Jiajun Li Tingjing Ke Yang Liu Dong Ding Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing China State Grid Chongqing Electric Power Company Chongqing Chongqing China Baoding Electric Power Corporation Baoding China State Key Laboratory of Transmission & Distribution Equipment and Power System Safety and New technology Chongqing University Chongqing China

ISBN: (数字)9781728155111

ISBN: (纸本)9781728155128

Sulfur corrosion induced by active sulfur has been proved to significantly decrease the insulation performance of oil-immersed equipment. In order to protect the oil-paper insulation from sulfur corrosion, active sulfur is cleared in the refining process of crude oil. Some inactive sulfur with high-efficiency antioxidant is still retained in the mineral oil to improve the oxidation stability of oil, such as thiophenic compounds. However, the corrosive effect of inactive sulfur on the oil-paper insulation has not yet clear. Therefore, thiophene that is the largest content of sulfide in the insulating oil was selected as the research object, a series of accelerated thermal ageing experiments of oil-paper without and with thiophene under the different high temperature were conducted, scanning electron microscope equipped with an energy-dispersive X-ray spectrometer (SEM/EDX) and inductively coupled plasma atomic emission spectrometry (ICP-AES) were used to characterize the corrosion degree of oil-paper insulation. The results show that no corrosive deposit was observed on the surface of oilpaper insulation without thiophene even at very high temperature, while a few corrosive deposit was accumulated on the surface of oil-paper insulation with 500 mg/kg thiophene. The corrosion degree of oil-paper insulation with thiophene had an uptrend as the increase of temperature (130°C-180°C), preliminarily indicating that thiophene may be activated in the oil-paper system under the action of overheating fault of oil-immersed transformer and posed a corrosion threat to oil-paper insulation.

关键词： Copper Sulfur Corrosion Oils Windings Power transformer insulation Oil insulation

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Influence of the pyrolysis of benzotriazole passivator on the characteristics of dissolved gas in the insulating oil

Influence of the pyrolysis of benzotriazole passivator on th...

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International Conference on High Voltage Engineering and Application, ICHVE

ISBN: (数字)9781728155111

ISBN: (纸本)9781728155128

Insulation failures of oil-immersed power transformer induced by sulfur corrosion can be controlled by adding the metal passivator into insulating oil. However, it has been reported that the addition of benzotriazole and its derivative passivators into insulating oil would cause abnormal generation of dissolved gases in the oil during the operation of oil-immersed transformer. Therefore, this paper investigated on the effect of passivator on the characteristics of dissolved gas in the oil under the action of thermal field. Benzotriazole (BTA) that widely used in the oil-immersed transformer was selected as the research object, the thermogravimetric analysis of BTA was conducted, and a series of accelerate thermal ageing experiments of oil-paper insulation with and without BTA were also conducted, the composition and content of dissolved gases in oil were measured and analyzed. The results show that BTA was pyrolyzed continuously as the temperature increase. The addition of BTA in oil accelerated the contents of H2, CO and CO2 and decelerated the content of hydrocarbon gases, which lead to abnormal generation of dissolved gases in oil. All of these may interfere the operation condition evaluation of oil-immersed transformer based on DGA technology.

关键词： Oils Gases Aging Power transformer insulation Oil insulation Thermal conductivity Partial discharges

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Study on optimization control Method of Bed temperature for Circulating Fluidized Bed 36

Study on optimization control Method of Bed temperature for ...

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第36届中国控制会议

作者： YANG Tingting DI Xiaohui HONG Feng Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process(North China Electric Power University)

ISBN: (纸本)9781538629185

The combustion system of Circulating Fluidized Bed(CFB) boiler is a strong-coupled non-linear system with large *** temperature is one of the most important parameters,which influences the safety of unit and couples with the main steam pressure *** control method is beneficial to suppress the temperature *** this paper,a fuzzy PI controller based on Genetic Algorithm(GA) is designed for the model of bed temperature,of which the parameters are optimal in the region to ensure the control *** the basis of mechanism analysis and gray correlation analysis,a multivariable model is *** coal feed and the primary air are selected as inputs,the bed temperature and main steam pressure are selected as *** the model is decoupled by partial feed-forward method,and the GA is used to optimize the parameters of the fuzzy PI *** are carried out in different conditions and the results indicate that the performance of optimized fuzzy PI controller based on proposed model is better than fuzzy PI controller.

关键词： CFB bed temperature partial feed-forward decoupling fuzzy PI controller genetic algorithm

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Energy Consumption Data Prediction Analysis based on EEMD-ARMA Model

Energy Consumption Data Prediction Analysis based on EEMD-AR...

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IEEE International Conference on Mechatronics and Automation

作者： Ji Li Xudong Jiang Lei Shao Hongli Liu Chao Chen Gang Wang Dongdong Du Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin University of Technology Binshui Xidao 391 Tianjin China Tianjin Economic and Technological Development Zone Binhai New Area Continental Automotive (System) Tianjin Co. Ltd. Continental Automotive (System) Tianjin Co. Ltd No.2 Bohai Road Tianjin China China Academy of Industrial Internet Institute of Data management and application Beijing Block B East Lake International Center No. 6 Lize West Street Chaoyang District Beijing

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

Energy consumption data prediction model based on EEMD-ARMA prediction model is used to predict the nonlinear and non-stationary characteristics of industrial energy consumption data, which leads to the difficulty of data prediction and low prediction accuracy. This paper improves empirical mode decomposition (empirical mode decomposition, EMD) by ensemble empirical mode decomposition (ensemble empirical mode decomposition, EEMD) and predicts energy consumption by combining auto regressive sliding average model (auto regressive and moving average model, ARMA). Finally, the historical data of a certain system is selected as a sample, and the comparative analysis of EMD-ARMA and EEMD-ARMA prediction results is used to verify that the EEMD-ARMA algorithm used is more accurate than the prediction algorithm, and its prediction results have certain reference value for the control of energy consumption data in enterprises.

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Research of Optimal Load Dispatch in Power Plant Prevents Frequent Coal Mills Operation based on Speediness 2

Research of Optimal Load Dispatch in Power Plant Prevents Fr...

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2017 IEEE 2nd Information technology, Networking, Electronic and Automation control Conference (ITNEC 2017)

作者： Li Qing Gao Yao-kui Xv Hao Control and Computer Engineering Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University

ISBN: (纸本)9781509064151;9781509064144

In order to satisfy the rapid load adjustment requirements of coal-fired units in the situation of alternate electrical power system, the optimal load dispatch in power plant prevents frequent coal mills operation based on speediness is studied in this paper. Firstly, the mathematical formulation of PPLD with POZs based on speediness is presented, and then strategy of POZs constraints and improved GA-TS algorithm to find the optimal solution are introduced. Finally, through simulation the effectiveness of the mathematical formulation of PPLD with POZs based on speediness is tested. The simulation result show: when the load is distributed with the economy and speediness as target separately, the distribution results are significantly different, and the load adjustment time with the aim of speediness is obviously shorter than that of economy. It shows that the optimal load dispatch in power plants based on speediness is an effective control strategy for the rapid load adjustment of units, which can contribute to the further improvement of the operating flexibility of coal-fired units in the new energy power system situation.

关键词： optimal load dispatch in power plant prohibited operating zones improved GA-TS algorithm speediness economy

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Corrigendum to “Optimization control for the coordinated system of an ultra-supercritical unit based on stair-like predictive control algorithm” [control Eng. Pract. 82 (2019) 185–200]

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control Engineering Practice 2019年 83卷 213-213页

作者： Deliang Zeng Yaokui Gao Yong Hu Jizhen Liu State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District 102206 Beijing China Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Changping District 102206 Beijing China

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Sequential Power Flow Calculation of AC/DC Hybrid system Considering Converter Station Loss and Its Capacity Constraints

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IOP Conference Series: Earth and Environmental Science 2019年第4期300卷

作者： Yuxin Zhu Xiaolan Wang Lu Zhang Naixing He Key Laboratory of Advanced Industrial Process Control of Gansu Province Lanzhou University of Technology Lanzhou China School of Electrical Engineering and Information Lanzhou University of Technology Lanzhou China Lanzhou New District Municipal Investment Management Co. Ltd. Lanzhou China

In the power flow calculation of AC/DC hybrid distribution network, the loss and capacity of the converter station have a great influence on the power flow calculation, and the AC/DC alternately solves the power flow, which has the disadvantage of poor convergence performance. In this paper, the power flow model of AC/DC hybrid distribution network with VSC is established. The loss mechanism of the converter station is analyzed and the capacity limit of the converter station is fully considered. The sequential power flow algorithm with VSC AC-DC hybrid distribution network is proposed. Its convergence performance is improved. In the improved 33-node AC/DC hybrid power distribution network with multiple types of DG, the correctness, effectiveness and algorithm fastness of the algorithm are verified.

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Fidelity-based probabilistic q-learning for control of quantum systems

arXiv

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arXiv 2018年

作者： Chen, Chunlin Dong, Daoyi Li, Han-Xiong Chu, Jian Tarn, Tzyh-Jong Department of Control and System Engineering Nanjing University Nanjing210093 China Department of Chemistry Princeton University PrincetonNJ08544 United States School of Information Technology and Electrical Engineering University of New South Wales Australian Defence Force Academy CanberraACT2600 Australia Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Department of Systems Engineering and Engineering Management City University of Hong Kong Hong Kong Department of Electrical and Systems Engineering Washington University in St. Louis St. LouisMO63130 United States

The balance between exploration and exploitation is a key problem for reinforcement learning methods, especially for Q-learning. In this paper, a fidelity-based probabilistic Qlearning (FPQL) approach is presented to naturally solve this problem and applied for learning control of quantum systems. In this approach, fidelity is adopted to help direct the learning process and the probability of each action to be selected at a certain state is updated iteratively along with the learning process, which leads to a natural exploration strategy instead of a pointed one with configured parameters. A probabilistic Q-learning (PQL) algorithm is first presented to demonstrate the basic idea of probabilistic action selection. Then the FPQL algorithm is presented for learning control of quantum systems. Two examples (a spin- 1/2 system and a Λ-type atomic system) are demonstrated to test the performance of the FPQL algorithm. The results show that FPQL algorithms attain a better balance between exploration and exploitation, and can also avoid local optimal policies and accelerate the learning process. Copyright © 2018, The Authors. All rights reserved.

关键词： Reinforcement learning

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Neural Networks control on Spraying Ammonia Flow of SCR system

Neural Networks Control on Spraying Ammonia Flow of SCR Syst...

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第28届中国控制与决策会议

作者： Ting-ting Yang Yang Gao Beijing Key Laboratory of new Technology and System on Measuring and Control for Industrial Process(North China Electricity Power University)

ISBN: (纸本)9781467397155

Spraying ammonia flow can influence the efficiency of boiler's flue gas denitrification device based on selective catalytic reduction(SCR) *** of spraying ammonia flow is very important for SCR system and traditional PID control can't get satisfactory control result because of the complexity and nonlinear of chemical reaction *** this paper,cascade neural network PID control was proposed to control spraying ammonia flow and momentum factor is applied to improve traditional BP neural network's convergence *** result shows that comparing with PID control the proposed scheme has better NOx control effect and anti-disturbance ability as well as less ammonia usage.

关键词： selective catalytic reduction(SCR) flue gas denitrification BP neural network

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Correction to: 2021 Taxonomic update of phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales

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Archives of virology 2021年第12期166卷 3567-3579页

作者： Jens H Kuhn Scott Adkins Bernard R Agwanda Rim Al Kubrusli Sergey V Alkhovsky Gaya K Amarasinghe Tatjana Avšič-Županc María A Ayllón Justin Bahl Anne Balkema-Buschmann Matthew J Ballinger Christopher F Basler Sina Bavari Martin Beer Nicolas Bejerman Andrew J Bennett Dennis A Bente Éric Bergeron Brian H Bird Carol D Blair Kim R Blasdell Dag-Ragnar Blystad Jamie Bojko Wayne B Borth Steven Bradfute Rachel Breyta Thomas Briese Paul A Brown Judith K Brown Ursula J Buchholz Michael J Buchmeier Alexander Bukreyev Felicity Burt Carmen Büttner Charles H Calisher Mengji Cao Inmaculada Casas Kartik Chandran Rémi N Charrel Qi Cheng Yuya Chiaki Marco Chiapello Il-Ryong Choi Marina Ciuffo J Christopher S Clegg Ian Crozier Elena Dal Bó Juan Carlos de la Torre Xavier de Lamballerie Rik L de Swart Humberto Debat Nolwenn M Dheilly Emiliano Di Cicco Nicholas Di Paola Francesco Di Serio Ralf G Dietzgen Michele Digiaro Olga Dolnik Michael A Drebot J Felix Drexler William G Dundon W Paul Duprex Ralf Dürrwald John M Dye Andrew J Easton Hideki Ebihara Toufic Elbeaino Koray Ergünay Hugh W Ferguson Anthony R Fooks Marco Forgia Pierre B H Formenty Jana Fránová Juliana Freitas-Astúa Jingjing Fu Stephanie Fürl Selma Gago-Zachert George Fú Gāo María Laura García Adolfo García-Sastre Aura R Garrison Thomas Gaskin Jean-Paul J Gonzalez Anthony Griffiths Tony L Goldberg Martin H Groschup Stephan Günther Roy A Hall John Hammond Tong Han Jussi Hepojoki Roger Hewson Jiang Hong Ni Hong Seiji Hongo Masayuki Horie John S Hu Tao Hu Holly R Hughes Florian Hüttner Timothy H Hyndman M Ilyas Risto Jalkanen Dàohóng Jiāng Gilda B Jonson Sandra Junglen Fujio Kadono Karia H Kaukinen Michael Kawate Boris Klempa Jonas Klingström Gary Kobinger Igor Koloniuk Hideki Kondō Eugene V Koonin Mart Krupovic Kenji Kubota Gael Kurath Lies Laenen Amy J Lambert Stanley L Langevin Benhur Lee Elliot J Lefkowitz Eric M Leroy Shaorong Li Longhui Li Jiànróng Lǐ Huazhen Liu Igor S Lukashevich Piet Maes William Marciel de Souza Marco Marklewitz Sergio H Marshall Shin-Yi L Marzano Se Integrated Research Facility at Fort Detrick National Institute of Allergy and Infectious Diseases National Institutes of Health Frederick MD USA. kuhnjens@mail.nih.gov. United States Department of Agriculture Agricultural Research Service US Horticultural Research Laboratory Fort Pierce FL USA. Zoology Department National Museums of Kenya Nairobi Kenya. Jomo Kenyatta University of Agriculture & Technology Nairobi Kenya. Division Phytomedicine Faculty of Life Sciences Humboldt-Universität zu Berlin Berlin Germany. D.I. Ivanovsky Institute of Virology of N.F. Gamaleya National Center on Epidemiology and Microbiology of Ministry of Health of Russian Federation Moscow Russia. Department of Pathology and Immunology Washington University School of Medicine St. Louis MO USA. Faculty of Medicine University of Ljubljana Ljubljana Slovenia. Centro de Biotecnología y Genómica de Plantas Universidad Politécnica de Madrid-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria Campus de Montegancedo Pozuelo de Alarcón Madrid Spain. Departamento de Biotecnología-Biología Vegetal Escuela Técnica Superior de Ingeniería Agronómica Alimentaria y de Biosistemas Universidad Politécnica de Madrid Madrid Spain. Center for Ecology of Infectious Diseases Department of Infectious Diseases Department of Epidemiology and Biostatistics Insitute of Bioinformatics University of Georgia Athens GA USA. Institute of Novel and Emerging Infectious Diseases Friedrich-Loeffler-Institut Federal Research Institute for Animal Health Greifswald-Insel Riems Germany. Department of Biological Sciences Mississippi State University Mississippi State MS USA. Center for Microbial Pathogenesis Institute for Biomedical Sciences Georgia State University Atlanta GA USA. Edge BioInnovation Consulting and Mgt Frederick MD USA. Institute of Diagnostic Virology Friedrich-Loeffler-Institut Greifswald-Insel Riems Germany. UFyMA INTA-CONICET Cordoba Argentina. Genomics and Bioinformatics D

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