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8th Renewable power generation Conference, RPG 2019

作者： Shilong, Qiu Hui, Li Lijiao, Gong Bin, Wang Zhaoseng, Chai You, Wu 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

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/Simuhnk. 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. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Timing circuits

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Fast Monte Carlo simulation of Dynamic power systems under Continuous Random Disturbances

arXiv

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arXiv 2020年

作者： Qiu, Yiwei Lin, Jin Chen, Xiaoshuang Liu, Feng Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China Department of Electrical and Computer Engineering University of Macau 999078 China

—Continuous-time random disturbances from the renewable generation pose a significant impact on power system dynamic behavior. In evaluating this impact, the disturbances must be considered as continuous-time random processes instead of random variables that do not vary with time to ensure accuracy. Monte Carlo simulation (MCs) is a nonintrusive method to evaluate such impact that can be performed on commercial power system simulation software and is easy for power utilities to use, but is computationally cumbersome. Fast samplings methods such as Latin hypercube sampling (LHS) have been introduced to speed up sampling random variables, but yet cannot be applied to sample continuous disturbances. To overcome this limitation, this paper proposes a fast MCs method that enables the LHS to speed up sampling continuous disturbances, which is based on the Itô process model of the disturbances and the approximation of the Itô process by functions of independent normal random variables. A case study of the IEEE 39-Bus system shows that the proposed method is 47.6 and 6.7 times faster to converge compared to the traditional MCs in evaluating the expectation and variance of the system dynamic response. Copyright © 2020, The Authors. All rights reserved.

关键词： Monte Carlo methods

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Deep learning-aided model predictive control of wind farms for AGC considering the dynamic wake effect

arXiv

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arXiv 2020年

作者： Chen, Kaixuan Lin, Jin Qiu, Yiwei Liu, Feng Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Department of Electrical and Computer Engineering University of Macau 999078 China

To provide automatic generation control (AGC) service, wind farms (WFs) are required to control their operation dynamically to track the time-varying power reference. Wake effects impose significant aerodynamic interactions among turbines, which remarkably influence the WF dynamic power production. The nonlinear and high-dimensional nature of dynamic wake model, however, brings extremely high computation complexity and obscure the design of WF controllers. This paper overcomes the control difficulty brought by the dynamic wake model by proposing a novel control-oriented reduced order WF model and a deep-learning-aided model predictive control (MPC) method. Leveraging recent advances in computational fluid dynamics (CFD) to provide high-fidelity data that simulates WF dynamic wake flows, two novel deep neural network (DNN) architectures are specially designed to learn a dynamic WF reduced-order model (ROM) that can capture the dominant flow dynamics. Then, a novel MPC framework is constructed that explicitly incorporates the obtained WF ROM to coordinate different turbines while considering dynamic wake interactions. The proposed WF ROM and the control method are evaluated in a widely-accepted high-dimensional dynamic WF simulator whose accuracy has been validated by realistic measurement data. A 9-turbine WF case and a larger 25-turbine WF case are studied. By reducing WF model states by many orders of magnitude, the computational burden of the control method is reduced greatly. Besides, through the proposed method, the range of AGC signals that can be tracked by the WF in the dynamic operation is extended compared with the existing greedy controller. Copyright © 2020, The Authors. All rights reserved.

关键词： Model predictive control

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Development and test research of 10kv DC circuit breaker based on the principle of coupled negative voltage

Development and test research of 10kv DC circuit breaker bas...

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The 16th IET International Conference on AC and DC power Transmission (ACDC 2020)

作者： W. Li B. Liu F. Xiao H. Wang Y. Wang W. Xie Z. Yu Shandong Taikai High-Voltage Switchgear Co. Ltd. Tai’an China China Electric Power Research Institute Beijing China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment (Department of Electrical Engineering Beijing China

With the increase of multi-terminal flexible DC distribution network projects, medium-voltage DC circuit breaker, as the key equipment to remove DC short-circuit fault, plays a key role in the operation reliability of the whole DC distribution network. In order to meet the engineering needs of DC distribution network, a 10kV hybrid DC circuit breaker based on the coupling negative voltage principle is developed in this paper. Firstly, the topology and working principle of the DC circuit breaker are introduced. Furthermore, the design scheme of key components including fast mechanical switch, power electronic switch and coupling negative voltage device is given. Finally, a 10kV hybrid DC circuit breaker prototype is developed and tested. The results show that the 10kV hybrid DC circuit breaker can break 15kA short circuit current within 2ms, and has the characteristics of low loss and high reliability.

关键词： circuit breakers short-circuit currents DC distribution systems power distribution faults power distribution reliability

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Research on the Substitution Ability of Battery Energy Storage system for Thermal power Units in Frequency Regulation

Research on the Substitution Ability of Battery Energy Stora...

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Sustainable power and Energy Conference (iSPEC)

作者： Huan Zhu Kaifeng Wang Ying Qiao Lirong Xie Guojing Liu State Grid Jiangsu Electric Power Company Economic Research Institute Nanjing China Xinjiang University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments of Electrical Engineering (Tsinghua University) Urumqi and Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments of Electrical Engineering Tsinghua University Beijing China Xinjiang University Urumqi China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

When penetration levels of renewable energy of power system are increased, the proportion of thermal power units will gradually decrease. This will cause the frequency regulation capacity of the power system to gradually decline. To this end, battery energy storage systems are widely used to frequency regulation in the power system. However, the frequency regulation ability of battery energy storage system to substitute thermal power units has not yet been quantified. In this paper, it introduces two frequency regulation method models. In the proposed models, the influence of different energy storage participation degrees on the effect of frequency regulation is analyzed, and a power and energy indicators system for quantifying energy storage substitution ability is proposed based on the advantages of frequency regulation with energy storage. The simulation results indicate that the ability of energy storage to substitute thermal power units is about 20-35 in terms of rapid energy supply when the installed capacity is same.

关键词： Renewable energy sources simulation power system stability Stability analysis Batteries Frequency control Thermal stability

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Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission:A plant-by-plant assessment based on GIS-LCA framework

Retrofitting coal-fired power plants with biomass co-firing ...

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第一届全国碳中和与绿色发展大会

作者： Rui Wang Shiyan Chang Xueqin Cui Jin Li Linwei Ma Amit Kumar Yaoyu Nie Wenjia Cai Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTs International Joint Laboratory on Low Carbon Clean Energy Innovation Tsinghua UniversityBeijingChi State Key Joint Laboratory of Environment Simulation and Pollution Control(SKLESPC) School of Enviro State Key Laboratory of Power Systems Department of Thermal EngineeringTsinghua-BP Clean Energy Cen Department of Mechanical Engineering 10-263 Donadeo Innovation Centre for EngineeringUniversity of Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTs

The targets of limiting global warming levels below 2℃ or even 1.5℃ set by Paris Agreement heavily rely on bioenergy with carbon capture and storage(BECCS),which can remove carbon dioxide in the atmosphere and achieve net zero greenhouse gas(GHG)*** and coal co-firing with CCS is one of BECCS technologies,as well as a pathway to achieve low carbon transformation and upgrading through retrofitting coal power ***,few studies have considered co-firing ratio of biomass to coal based on each specific coal power plant's characteristic information such as location,installed capacity,resources allocation and logistic ***,there is a need to understand whether it is worth retrofitting any individual coal power plant for the benefit of GHG emissions *** is also important to understand which power plant is suitable for retrofit and the associated co-firing *** order to fulfill this gap,this paper develops a framework to solve these questions,which mainly include three ***,biomass resources are assessed at 1-km spatial resolution with the help of RS-GIS ***,by setting biomass collection points and linear program model,resource allocation and supply chain for each power plants are ***,assessing the life-cycle emission for each power *** this study,Hubei Province in China is taken as the research area and study *** main conclusions are as follows:(1)biomass co-firing ratio for each CCS coal power plant to achieve carbon neutral is between 40%~50%;(2)lower co-firing ratio sometimes may obtain better carbon emission reduction benefits;(3)even the same installed capacity power plants should consider differentiated retrofit strategy according to their own *** on the results and analysis above,retrofit suggestions for each power plant are made in the discussion.

关键词： Net zero carbon emission,coal-fired power plant,biomass co-firing GIS-LCA,supply chain,CCS

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Excellent electrical properties of zinc-oxide varistors by tailoring sintering process for optimizing line-arrester configuration

Excellent electrical properties of zinc-oxide varistors by t...

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International Conference on High Voltage Engineering and Application, ICHVE

作者： Pengfei Meng Wei Cao Chao Chen Shuai Wan Heng Xu Jun Hu Jinliang He Tsinghua University Beijing China Wuhan NARI Limited Liability Company State Grid Electric Power Research Institute Wuhan China Guangdong Aikang Electric Power Co. Ltd Guangzhou China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

ISBN: (数字)9781728155111

ISBN: (纸本)9781728155128

We optimized the excellent electrical performance of zinc-oxide (ZnO) varistors doping of aluminum and indium by tailoring the sintering process. The surface morphology, nonlinear volt ampere properties, capacitance-voltage characteristics, and dielectric analyses were carried out. At a given aluminum and indium concentration, the average sample grain size ( d) increased as lengthening sintering time from 0.5 to 2.5 h. The voltage gradient ( E1mA) decreased from 602.4 V/mm to 356.7 V/mm. The residual voltage of the sintered varistors at the lightning impulse current ( 8/20 μs) decreased as the samples sintering holding time extended from 0.5 to 2.0 h. When the ZnO varistor was sintered for 1.5 h, the samples showed an excellent performance, with a reference voltage of 479.3 V/mm at 1 mA DC. When assembled in the line surge arresters, the obtained high-voltage-gradient ZnO varistors can decrease their length and residual voltage, which allows for better coordination of the line surge arrester with the insulators. This study has great significance to optimize line-arrester configurations and improve power-system stability.

关键词： Zinc oxide Varistors Arresters II-VI semiconductor materials Surges Insulators Dielectrics

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key technologies of the operational reliability evaluation for the large-scale battery energy storage system 7

Key technologies of the operational reliability evaluation f...

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7th International Conference on Reliability of Electrical Products and Electrical Contacts, ICREPEC 2019

作者： Cheng, Lin Wan, Yuxiang Jiang, Yi Wang, Zhidong Liu, Mei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing100084 China State Grid Economic and Technological Research Institute Corporation Limited State Grid Corporation of China Beijing102209 China

ISBN: (纸本)9789881532343

The large-scale battery energy storage system (BESS) can effectively meet the diversified needs of power grid dispatching. Therefore, the improvement of the BESS operational reliability is of great significance to ensure the operation safety of the grid. However, the BESS is composed of a large number of batteries. This fact suggests the BESS reliability depends not only on the battery operating state but also on the strategy of battery networking reconfiguration. In this paper, the analysis of the operational reliability research of largescale BESS is carried out in-depth. The research status of reliability of large-scale BESS is investigated, and some thoughts on the obstacles to the BESS operational reliability evaluation are given. The promotion of the new technology of BESS and the development of the ubiquitous Internet of Things on BESS operation reliability are analyzed. In addition, the framework of the operational reliability evaluation of a large-scale BESS is proposed. Some key technologies such as failure mechanism, equipment reliability modeling, evaluation, and optimization are summarized, providing some suggestions for the application of large-scale BESS. © 2019 by International Academic Publishers Ltd.

关键词： Electric batteries

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CCF early warning method of LCC-HVDC based on XG boost algorithm 8

CCF early warning method of LCC-HVDC based on XG boost algor...

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8th Renewable power generation Conference, RPG 2019

作者： Li, Zhizhong Wang, Bin Wang, Haigang Yu, Bin Xie, Min Chen, Shi Dong, Xinzhou Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China State Grid Anhui Electric Power Company Hefei 230061 China

ISBN: (纸本)9781839531255

The lack of analytical mechanism of continuous commutation failure (CCF) process hinders the development of CCF early warning algorithm and further obstructs the coordination strategy of relay protection between AC and DC size in hybrid grid. However, summarizing the protection threshold of CCF in the form of electrical quantity analytically under different fault types is a nontrivial pattern recognition problem. To overcome the difficulty of directly analysing the electromagnetic process of CCF, a statistical learning modelling approach is adapted to propose a CCF warning system, in which XGBoost algorithm was used as the backbone to regress on the relationship between AC/DC electrical quantities and the possibility of the occurrence of CCF. The design of the feature vector in XGBoost-based classifier considers not only the analytical expression of key electrical quantity during single commutation failure but also the important state variable of control system. Additionally, a special data windowing method was proposed to enrich of information encoded by the feature vector while ensuring the speed requirement posed by the protection system. Validation on multi-fault scenes simulation shows that the proposed early warning system can trigger warning signal correctly with sufficiently small measured data required, proving the practicability in engineering practice. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： HVDC power transmission

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The Design and Field Test of a Shunt Unified power Quality controller for Mitigating Voltage Sags

The Design and Field Test of a Shunt Unified Power Quality C...

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IEEE Student Conference on Electric Machines and systems

作者： Chang Liu Lin Xu Wei Wei Yingdong Wei Hua Yang Xueyuan Liu Yi Zhang Ying Wang Electric Power Research Institute of State Grid Sichuan Electric Power Company Chengdu China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China School of Electrical Engineering and Automation Fuzhou University Fuzhou China College of Electrical Engineering Sichuan University Chengdu China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156231

A shunt unified power quality controller (S-UPQC) is developed and has been tested in the field in order to confirm its performance at mitigating voltage sags for sensitive power consumers. The S-UPQC keeps the magnitude of the voltage supply for power consumers constant by acting as a voltage source when voltage sags occur in the power grid. In this paper, a smooth switching strategy is designed to smooth the voltage disturbance of power consumers when the power supply switches between the S-UPQC and the grid. simulation results are presented to show its high performance. A prototype of S-UPQC is developed and a field test has been conducted. During its operation, the performance of the SUPQC at mitigating voltage sags within actual power systems is confirmed.

关键词： simulation power quality Prototypes Switches Production Reliability Switching circuits

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