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Design and implementation of automatic voltage control system applied to a power grid in Northeast US

Dianwang Jishu/power System Technology 2013年第2期37卷 349-355页

作者： Zhang, Mingye Guo, Qinglai Sun, Hongbin Tong, Jianzhong Zhang, Boming Wu, Wenchuan Wang, Bin State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China PJM Interconnection PA 19403 United States

With the raising of requirement of power grid operation to voltage control and reactive power management level, automatic voltage control (AVC) becomes a hot spot in the research. Due to the constraints in the management mode, the applied research of AVC is hitherto a blank in North America power grids. An AVC system, which is suitable to special management modes of a certain interconnected power grid in Northeast U. S. and can meet the demand of on-line operation, is designed and implemented. In the designed system, phase shifter models are added into power flow modules and during the computation of control strategy by optimal power flow (OPF) the static security constraints after the assumed faults are considered. Both the data and assessment results of long-term on-line trail-operation show that the reactive power and voltage level of the interconnected power grid can be improved by applying the designed AVC system, and both security and economy of the interconnected power grid can be enhanced.

关键词： Electric power system control

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Ultra-short-term solar power forecasting based on a modified clear sky model

Ultra-short-term solar power forecasting based on a modified...

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第三十九届中国控制会议

作者： Yuan Ma Xuemin Zhang Shengwei Mei Zhao Zhen Rui Gao Zijie Zhou State Key Lab of Control and Simulation of Power Systems and Generation Equipments （Dept of Electrical Engineering Tsinghua University）

The ultra-short-term prediction of photovoltaic power system is of great significance to the safe operation of power ***,the daily and annual periodicity of solar radiation brings strong non-stationary to the photovoltaic power series,which makes it difficult to predict the photovoltaic power *** order to overcome the problem that the detailed clear sky model relies on a large number of plant parameters,this paper proposes a prediction algorithm based on a modified clear sky ***,historical data and geographical location of a certain site are utilized to build a modified clear sky model,then the theoretical clear sky power curve fitted by the modified clear sky model are divided by the actual historical power output to get a stabilized time series,finally the method of "online update" is adopted to forecast PV plant power output in the ultrashort-term time horizon（0-4 h）.The test results of a photovoltaic power station in Ningxia show that the proposed model can reduce the prediction error of the 4 th hour to about 3%.

关键词： Clear sky model stabilization photovoltaic power generation ultra-short-term prediction

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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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Coordinated analysis of urban integrated energy-traffic networks based on real-world GPS data

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Energy Procedia 2018年 152卷 490-495页

作者： Tianyu Yang Qinglai Guo Chenhui Lin Luo Xu 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

The rapid growing scale of electric vehicles (EV) has brought benefit and impact on urban traffic network and the electric power system simultaneously by integrating these two systems together into a Cyber-Physical-Social System (CPSS) in energy. This paper presents a coordinated analysis method of the urban integrated energy-traffic network based on real-world GPS data from vehicles in Shenyang and Shenzhen, China. Case study shows that the integrated system will be affecting each other through the coupling interactions of EVs.

关键词： Electric vehicles (EV) Urban traffic network Cyber-Physical-Social System

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Modeling and Switching simulation of Oil-gas Dual-power System on Account of Association Algorithm 22

Modeling and Switching Simulation of Oil-gas Dual-power Syst...

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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 lab.ls 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 lab.ls 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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Ultra-short-term solar PV power forecasting based on cloud displacement vector using multi-channel satellite and NWP data

Ultra-short-term solar PV power forecasting based on cloud d...

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第40届中国控制会议

作者： Rui Gao Xuemin Zhang Zhao Zhen Shengwei Mei State Key Lab of Control and Simulation of Power Systems and Generation Equipments （Dept. of Electrical Engineering Tsinghua University）

Satellite cloud image data plays an important role in the ultra-short-term photovoltaic（PV） power forecasting. By calculating the cloud displacement vectors of two adjacent cloud images, it is possible to calculate the cloud cluster’s occlusion of the PV power plant for a period of time in the future, thereby forecasting the PV power. The satellite cloud image data provided by FY-4 A Satellite has large and unequal sampling time intervals, which brings difficulties to cloud displacement vector calculation. This paper proposes a method for calculating the displacement vector of the cloud edge block based on the cosine similarity and the adaptive adjustment of the matching spatial scale. The parameter equation is used to establish the relationship between the relative position of the cloud cluster and the PV plant over time, and to predict the future position. On this basis, this paper proposes an ultra-short-term forecasting method of PV power based on cloud displacement vector. The performance of the proposed model is verified through case analysis.

关键词： ultra-short-term prediction photovoltaic power generation cloud displacement vector multi-channel satellite data

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Analysis of fatigue life loss of drivetrain of doubly-fed wind turbines under short-circuit fault of power grid 8

Analysis of fatigue life loss of drivetrain of doubly-fed wi...

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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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Analysis of the toroidal HVDC grounding systems in horizontal multilayer soils

Analysis of the toroidal HVDC grounding systems in horizonta...

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作者： Zou, J. Lui, Y.Q. Yuan, J.S. He, J.L. Cao, L. Lee, J. Chang, S. State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing 100084 China Electrical Environment and Transmission Group Korea Electrotechnology Research Institute Changwon 641600 Korea Republic of

A Fredholm integral equation of the first kind has been developed for analyzing the performance of the toroidal high-voltage direct current (HVDC) grounding system buried in the horizontal multilayer soil. The method of moment is used to solve the equations. The formulation of potential in the earth due to a circular current is proposed in closed form by means of conception of the complex resistivity and depth, which leads to the saving of the computational time greatly. The numerical results show the good agreements with those in other papers and the measured data. © 2006 IEEE.

关键词： Electric grounding

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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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