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7th International Conference on Cyber Security and Information Engineering, ICCSIE 2022

作者： Qiu, Yinfeng Li, Guoxiang Tian, Hao Wei, Che Liu, Guofeng Wu, Zhaoyun CNOOC Research Institute Co. Ltd Chaoyang District Beijing Chaoyang100028 China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing100084 China

ISBN: (纸本)9781450397414

control theory of complex system is an important subject in the development of automatic control theory cntrol system simulation is one of its research directions. The results of this study have been implemented on DNNSS simulation subsystem of multi-model complex nonlinear network. In this paper, the multi-model method is introduced to make the concept of the discontinuous right end of the simulation complex nonlinear system clear intuitive analysis applicability and description ability. This paper studies a series of theories and knowledge about the modeling and switching simulation of oil and gas dual-power system based on the association algorithm, reveals the concept and definition of the algorithm based on the association, and carries out the disposal of application cases of the modeling and switching simulation of oil and gas dual-power system. By oil and gas field power supply system for analysis of effect of oil and gas dual power supply system based on correlation algorithm to study the modeling and simulation of switching, test result shows that oil and gas dual power supply system based on correlation algorithm modeling and simulation in oil and gas field double switching power supply system in the agility, practicability, intelligent and robust reached 82.41%, 90.01%, 94.65%, 98.28%. © 2022 ACM.

关键词： Gases

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Demand Side Data Generating Based on Conditional Generative Adversarial Networks

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Energy Procedia 2018年 152卷 1188-1193页

作者： Jian Lan Qinglai Guo Hongbin Sun Department of Electrical Engineering Tsinghua University 100084 Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipments 100084 Beijing China

With the technological advancement in the fields of advanced metering infrastructure (AMI), a massive amount of customers’ electricity consumption data is collected. Meanwhile, the energy providers need to make informed decisions based on power consumption strategy of demand side to reduce overall operational cost. So how to generate demand side load data based on historical energy consumption data or customer attribute is a pressing issue. In this paper, we propose a data-driven approach to generate new power consumption data based on intrinsic property of load pattern learnt from demand side using conditional generative adversarial networks (cGANs), which is based on two interconnected deep neural networks known as generator and discriminator. By using several representative labels from the responded surveys and the load data from demand side to train the models, the generator is able to generate realistic power consumption data by given labels which can be used for energy management and scheduling, the discriminator is capable of detecting abnormal power consumption and system error from the smart meter data.

关键词： conditional GANs generative models demand side smart meter data analysis energy management

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Fully vaporized electrical explosion of bare tungsten wire in vacuum

Fully vaporized electrical explosion of bare tungsten wire i...

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The 2nd International Conference on Matter and Radiation at Extremes(ICMRE 2017)

作者： Huantong Shi Xiaobing Zou Xinxin Wang Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power System and Generation EquipmentTsinghua University

A flashover switch inserted between the cathode and wire end was used to enhance the deposition energy into an exploding wire in *** was found that the flashover switch plays two roles:the first one is reducing the rise time of the current pulse,the second and more important one to greatly improve the surface radial electric field and suppress the electronic emission that is responsible for triggering the surface breakdown of the exploding *** the second one takes effect and results in much higher energy deposition only with the flashover switch on the *** this case,the deposition energy was increased by ~three times（3.4eV/atom vs.12eV/atom） under negative current pulse and by ~two times（5.7eV/atom vs.13eV/atom） under a positive one,and fully vaporized wire core was observed with laser interferometry.

关键词： electrical explosion of wire flashover switch energy deposition

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Study on the loss reduction of high-efficient high-voltage series induction motors

Study on the loss reduction of high-efficient high-voltage s...

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2011 International Conference on Electrical Machines and systems, ICEMS 2011

作者： Lingyun, Bai Zhengming, Zhao Yi, Lei Shuping, Wang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing 100084 China Beijing Command College of CAPF Beijing 100012 China Anhui Electrical Research Institute Hefei 230022 China

ISBN: (纸本)9781457710445

On the basis of analyzing the composition of losses in high-efficient high-voltage asynchronous motors, the approaches of increasing the efficiency of the motors is investigated in this paper. The approaches concern with the improvement of material, winding, fan, magnetic groove and so on. By taking the economy and efficiency into account synthetically, the design of the YKK series induction motors is carried on, and it is realized by software simulation. © 2011 IEEE.

关键词： Induction motors

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Equivalent capacity of the lower voltage ride through for wind farm from overcurrent protection in power collection lines

Equivalent capacity of the lower voltage ride through for wi...

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11th IET International Conference on Developments in power systems Protection, DPSP 2012

作者： Wang, Bin Dong, Xinzhou Bo, Zhiqian State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China Alstom Grid Stafford ST17 4LX United Kingdom

ISBN: (纸本)9781849196208

Magnitude and duration of voltage sags are the most important two factors to the Lower Voltage Ride Through (LVRT) capacity of the wind generator. Since most voltage sags are caused by the system faults, and sag durations are controlled by the tripping time of overcurrent relay in power collection lines based on the sags' magnitude. The specification of the LVRT capacity of wind generator is introduced into the operation characteristics of the relay in power collection lines. The evaluation model of equivalent LVRT capacity to overcurrent protection is proposed in paper, and the equivalent LVRT capacities from zone I and zone II relay are quantified. Improvement measures are also proposed.

关键词： Overcurrent protection

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Development and test research of 10kV DC circuit breaker based on the principle of coupled negative voltage 16

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

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16th IET International Conference on AC and DC power Transmission, ACDC 2020

作者： Li, Wei Liu, Bo Xiao, Fengliang Wang, Haoqing Wang, Yuanmeng Xie, Wengang Yu, Zhanqing Shandong Taikai High-Voltage Switchgear Co. Ltd. Tai'an China China Electric Power Research Institute. Beijing China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839533914

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. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词： Electric circuit breakers

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A multi-source data collection and information fusion method for distribution network based on IOT protocol 3

A multi-source data collection and information fusion method...

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3rd International Conference on Green Energy and Sustainable Development, GESD 2020

作者： Cai, Yongxiang Xiao, Xiaobing Tian, Hao Fu, Yu Wu, Peng He, Hongliu Electric Power Research Institute of Guizhou Power Grid Co. Ltd. Guiyang China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Beijing China Binjiang College Nanjing University of Information Science and Technology Wuxi China

With the construction of Global Energy Internet, Intelligent distribution network has more and more characteristics of multi scene, multi service and changeable measurement and control objects. In order to realize data collection and information exchange among the intelligent terminal and energy, power grid, load, energy storage and other control resources in distribution network, we should research an architecture which can adapt to various data sources Based on dynamic self describing protocol. © Published under licence by IOP Publishing Ltd.

关键词： Digital storage

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Automatic discovery method of power system critical flowgates considering multiple security themes in power grid

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Dianwang Jishu/power System Technology 2014年第5期38卷 1169-1174页

作者： Zhao, Feng Sun, Hongbin Tan, Yan Guo, Qinglai Guo, Wenxin State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China Guangdong Electric Power Control Center Guangzhou 510600 Guangdong Province China

Based on summarizing the features of selecting critical flowgates in actual power grid, an automatic discovery method of power system critical flowgates considering multiple security themes in power grid is proposed. Based on topological structure of power grid and online power flow, the electric partitioning of power grid is performed and different types of critical flowgates are selected according to different security theme: according to the demand on transient security theme the long-distance transmission channel composed by tie line between electric partitionings is chosen as critical flowgate;according to the demand on thermal stability theme, the transmission channel composed of high voltage transmission lines with high transmission capacity, which interact each other obviously, is chosen as critical flowgate;according to the thermal stability at load side the transmission channel composed of low voltage transmission lines with higher transmission capacity, which interact each other obviously, is chosen as critical flowgate. Taking Guangdong power Grid in China as testing example, test results show that the proposed method considers common security themes in power grid accurately and different kinds of critical flowgates can be attained;the obtained critical flowgates not only conform to a posteriori critical flowgate given by experts in the field of power grid operation, and new critical flowgates can be discovered, besides, the discovery results are reasonable and creditable.

关键词： Thermodynamic stability

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Ultra-short-term wind power prediction based on variational mode decomposition and clustering method

Ultra-short-term wind power prediction based on variational ...

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第三十八届中国控制会议

作者： Liu Chenyu Zhang Xuemin Mei Shengwei Huang Shaowei State Key Lab of Control and Simulation of Power Systems and Generation Equipments (Dept. of Electrical Engineering Tsinghua University)

Wind power ultra-short-term prediction plays a key role in day scheduling of power systems and cross-provincial power trading. However, the randomness and non-stationary nature of wind power, and the mismatch between the training data and the predicted data have become the main obstacles for the improvement of prediction accuracy. This paper proposes a prediction algorithm based on variational mode decomposition(VMD) and clustering. Firstly, the original non-stationary sequence is transformed into several relatively stationary modes utilizing VMD. Secondly, key features can be conveniently selected for each mode, which has a central frequency. Then the k-means clustering method is used to cluster each mode into several typical patterns based on correlation coefficient based distance definition. Finally, the method of "offline training, online matching" is adopted to perform training and prediction process. The actual data of a wind farm in Jilin Province was used to verify the results. The results show that the proposed method can improve the accuracy of ultra-short-term in multi-step prediction of wind power.

关键词： wind power ultra-short-term prediction variational mode decomposition stationary

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load 11

Ancillary service for frequency regulation based on multi-en...

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11th IET International Conference on Advances in power System control, Operation and Management, APSCOM 2018

作者： Wang, Jiazhen Shen, Xinwei Xu, Yinliang Guo, Qinglai Sun, Hongbin Chen, Yanbo Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University China

ISBN: (纸本)9781839530043

With the increasing proportion of renewable energy generation into the power grid, more challenges are coming to the safe and stable operation of the power system. In order to keep the balance in energy market, system operator has to purchase much service in ancillary service market to guarantee the stable operation of the power transmission. Virtual power plant (VPP) has been extensively studied as a concept that aggregates multiple resource forms to serve the electricity market. Meanwhile, with the development of Energy Internet (EI) Error! Reference source not found., more attention has been focused on the optimization and operation of Integrated Energy System (IES), therefore, the introduction and exploration of Multi-energy Virtual power Plant (MVPP) provide possibilities for IES to participate in the Electricity Market and Ancillary Services Market. This paper extracts the flexible electric and heat load in the industrial production process, combining the CHP units and Electric Boiler (EB), which are main heat energy supply devices as well as Energy Storage System (ESS) as a MVPP to provide Frequency Regulation (FR) service to the Auxiliary Service Market. Model Predictive control (MPC) method is applied to control the industrial load, the operation of CHP, EB and ESS are gonging to follow the AGC signal issued by the FR market effectively while avoiding impacts on the production process of the factory. Finally, case study validates the effectiveness of the model. © 2018 Institution of Engineering and Technology. All rights reserved.

关键词： Model predictive control

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