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Chinese control Conference (CCC)

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 Tsinghua University Beijing China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

The ultra-short-term prediction of photovoltaic power system is of great significance to the safe operation of power system. However, 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 series. In 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 model. Firstly, 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 ultra-short-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 4th hour to about 3%.

关键词： Photovoltaic systems Predictive models Data models Mathematical model Forecasting

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Multiple-Stage Inter-temporal Flexibility for Planning: A Non-sequential Probabilistic Production simulation Approach

Multiple-Stage Inter-temporal Flexibility for Planning: A No...

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power, Energy and Electrical Engineering (CPEEE), International Conference on

作者： Ying Qiao Haibo Li Jiheng Jiang Guobin Fu State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China Sichuan Energy Internet Research Institute Tsinghua University Chengdu China State Grid Qinghai Provincial Electric Power Company Xining China

ISBN: (数字)9781728177175

ISBN: (纸本)9781728177182

High wind energy curtailment during winter and early spring in north China has drawn widespread concern in recent years, which, at source, results from the shortage of power system flexibility. Therefore, power system needs to consider the flexibility in planning stage. However, current flexibility metric is difficult to calculate and be applied in to the optimal planning. A non-sequential production simulation model with only input data of the cumulative probability function and/or probability density function of heat demand, electricity demand, and wind power is proposed, which is used to obtain the probability distribution of the production for generators according to least cost principle. Then the flexibility metric can be easily calculated based on the production results. simulations were performed based on the actual data of a large wind power zone in north China. Multiple flexibility metric was evaluated and compared with the wind power curtailment, which shows the strong correlation between them. Finally, the impact of flexible resources on the flexibility metric was analyzed.

关键词： Measurement Production Wind power generation Data models Planning Space heating Resistance heating

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Switching Current Imbalance Mitigation for Paralleled SiC MOSFETs Using Common-mode Choke in Gate Loop

Switching Current Imbalance Mitigation for Paralleled SiC MO...

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IEEE Energy Conversion Congress and Exposition

作者： Jiye Liu Zedong Zheng State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

ISBN: (数字)9781728158266

ISBN: (纸本)9781728158273

Paralleling SiC MOSFETs is a popular way to increase the current capacity. However, due to asymmetric layout, device parameter mismatch and other factors, imbalanced switching or dynamic current is observed among the paralleled switches in multi-device paralleling application which results in unequal switching loss, challenging the security and reliability of the system. In this paper, a common-mode choke in the gate loop is proposed and analyzed to suppress the imbalanced switching current induced by asymmetric layout in a half-bridge configuration with a Kelvin-source connection. The mechanism of the proposed method is comprehensively investigated to show that though the common-mode choke is placed in the gate loop, it can also mitigate the imbalanced current caused by asymmetric power loop. And it also shows that only the leakage inductance of the choke is seen in the gate loop and thus the switching speed is not expected to be influenced. The proposed method can be easily extended to multi-device paralleling application and the switching transients is hardly influenced by the common-mode choke. simulation and experimental results are presented to verify the proposed method.

关键词： Inductance MOSFET Silicon carbide Switches Logic gates Inductors Transient analysis

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FDCA-DSTGCN: A Wind Farm Cluster power Day-ahead Prediction Model Based on Frequency Domain Information Gain and Dynamic Trend Sensing

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IEEE Transactions on Sustainable Energy 2025年

作者： Yang, Mao Niu, Jiajun Wang, Bo Huang, Dawei Su, Xin Ma, Chenglian Ministry of Education Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Beijing100912 China

Accurate wind farm cluster power prediction (WFCPP) is of vital significance for new power systems with large-scale wind power integration. The current WFCPP modeling method ignores the important role of wind direction and frequency domain information, resulting in insufficient use of spatial information and difficult to improve the prediction accuracy. In order to solve the above problems, a day-ahead power prediction model for wind farm cluster power is proposed based on information gain in frequency domain and dynamic trend sensing. Firstly, a cluster division method based on graph theory and progressive fusion of multiple information is proposed, and a virtual information node is set up. Secondly, a method to identify prevailing wind direction under time window is proposed for subsets, and a dynamic weighted directed graph structure is designed based on prevailing wind direction and wind speed. Thirdly, a dynamic spatio-temporal graph convolutional network model with frequency domain gain channel attention mechanism (FDCA-DSTGCN) is proposed to integrate the above information and complete the prediction. Finally, the proposed method is applied to a wind farm cluster in Inner Mongolia of China. Compared with the existing and traditional prediction methods, the normalized root mean square error of the proposed method is reduced by 1.13% -2.15%, which verifies the effectiveness of the proposed method. © 2010-2012 IEEE.

关键词： Mean square error

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Commutation Failure Mitigation Method Based on Improved Commutation Area in HVDC system 8

Commutation Failure Mitigation Method Based on Improved Comm...

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8th IEEE International Conference on Advanced power System Automation and Protection, APAP 2019

作者： Wang, Haozong Dong, Xinzhou Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipment Beijing China

ISBN: (纸本)9781728117225

Commutation failure (CF) is one of the major concerns in high-voltage direct current (HVDC) transmission system. Of many methods to mitigate CF, advancing firing angle is preferred one since it can be easily implemented in current HVDC controllers without extra hardware modification. However, methods in previous works either lack for quantitative analysis or based on much strong hypothesis. In this paper, we propose a novel CF mitigation method based on improved commutation area. The salient feature of proposed strategy is that DC current is not considered as a constant under fault conditions. simulations on PSCAD/EMTDC software demonstrate the good performance of proposed method. © 2019 IEEE.

关键词： Electric commutation

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power Output Monitoring and Anomaly Identification of Photovoltaic systems Using Graphical Modeling 4

Power Output Monitoring and Anomaly Identification of Photov...

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4th International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2020

作者： Chen, Yonghua Zhang, Xiaochen Liu, Gang Wu, Rui Liu, Chao Jiang, Dongxiang Nari Technology Co. Ltd Nanjing211106 China Tsinghua University Department of Energy and Power Engineering Beijing100084 China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Energy and Power Engineering Beijing100084 China

ISBN: (纸本)9781728170503

Photovoltaic cells are being increasingly installed worldwide as a type of important renewable resource for power generation. Among the installed photovoltaic systems, data are collected from the control and monitoring system, and the anomaly detection researches are mostly based on the individual photovoltaic cells and the systematic behavior in a group of photovoltaic systems is not well studied. Based on the assumption that the photovoltaic cells installed in the same location are with very close solar radiation, the power output of each subsystem is considered in this work for monitoring the operating status of the subsystem and identifying the anomalous subsystem, where spatiotemporal pattern network, a probabilistic graphical modeling approach, is applied. The results show that the presented framework is able to detect the anomaly and locate the anomalous subsystem. © 2020 IEEE.

关键词： Condition monitoring

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Analysis and suppression of subsynchronous oscillation of Rudong wind power through MMC-HVDC system

Analysis and suppression of subsynchronous oscillation of Ru...

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2021 Annual Meeting of CSEE Study Committee of HVDC and power Electronics (HVDC 2021)

作者： J. Li X. Xie J. Yang H. Li Z. Shi K. Wang C. Fu W. Yang Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province Huadong Engineering Corporation Limited Power China Hangzhou Zhejiang Province 310014 China State Key lab of Control and Simulation of Power Systems and Generation Equipment (Dept. of Electrical Engineering Tsinghua University) Haidian District Beijing 100084 China

There may be complex interaction between the converter control systems of wind power and MMC-HVDC, which will lead to sub-/super-synchronous oscillation and threaten the safe and stable operation of the system. The relevant events have been reported in Guangdong Nan'ao, Shanghai Nanhui and Zhangbei projects. Rudong offshore wind power project is the first offshore wind power transmission system in China, and it is still under construction. Therefore, it is of great significance to carry out the research on the risk analysis and suppression measures of sub-synchronous oscillation in Rudong wind power MMC-HVDC system. First, the time-domain simulation model of Rudong wind power MMC-HVDC system is built in the PSCAD/EMTDC simulation model. Then, the effects of the number of wind turbine generators, wind power output and the parameters of MMC-HVDC controller on the sub-/super-synchronous oscillation characteristics of the system are further analyzed. Finally, the suppression measures based on supplementary frequency dependent gain control are proposed, the application position of the controller is discussed, and the parameter optimization method of the controller is given. The research content provides a certain guiding significance for the operation and control of Rudong wind power MMC-HVDC.

关键词： turbogenerators HVDC power transmission wind turbines power transmission control risk analysis time-domain analysis offshore installations HVDC power convertors wind power plants wind power

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An Iterative-Correction Approach of Risk-Constrained Unit Commitment of power systems with Wind power based on Optimal Reserve Decision

An Iterative-Correction Approach of Risk-Constrained Unit Co...

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power, Energy and Electrical Engineering (CPEEE), International Conference on

作者： Ying Qiao Yisha Lin Haibo Li Xuebin Wang State Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China Sichuan Energy Internet Research Institute of Tsinghua University Chengdu China State Grid Qinghai Electric Power Co. Ltd Xining China

ISBN: (数字)9781728177175

ISBN: (纸本)9781728177182

The operation risk may increase with the high penetration of wind power, but the calculation of risk indices is complex and nonlinear, which makes it difficult to incorporate the risk constraints into the conventional unit commitment (UC) model. This paper focuses on accurately handling the risk constraints instead of approximate exponential decay rules, and proposes an iteration-correction methodology to solve risked-constrained UC of power systems with wind power. The proposed method calculates the risk indices based on the PJM method, and modifies the minimum reserve demand in each iterative step if the risk indices exceed the limits. A dynamic iterative speed-up equation is given to decrease the elapsed time. The case studies based on the actual system of China are conducted to validate the effectiveness. Compared with the conventional reserve limit, the precise and optimal reserve decision is made under different risk levels, and the proposed UC has merits of less cost and lower risk.

关键词： Uncertainty power system dynamics Wind power generation power grids Mathematical model Iterative methods Optimization

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A high-precision Analytical Method for Fast Calculation of Motor Vibration Based on Tooth Modeling

A high-precision Analytical Method for Fast Calculation of M...

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International Conference on Electrical Machines, ICEM

作者： J. F. Hong S. M. Wang Y. G. Sun H. X. Cao State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

ISBN: (数字)9781728199450

ISBN: (纸本)9781728199467

The analytical methods are widely used to predict the vibration and noise of the permanent magnet motors in industry applications. In the traditional analytical method, the influence of the teeth is ignored and a large error of vibration calculation will occur in the slotted motor. In this paper, a high-precision analytical calculation method for electromagnetic vibration of motors based on tooth modeling is proposed. First, the electromagnetic excitation force on each tooth of stator is calculated in the electromagnetic field. Then, the transfer function from the force acting on the teeth to the vibration on the surface of the shell is derived. Next, when the force is applied to a single tooth, the vibration on the surface of the motor can be obtained, and the superposition method is used to superimpose the vibration excited by the force of all teeth to calculate the total vibration acceleration of the motor surface. Finally, the finite element method and experimental method are conducted to verify the effectiveness of the proposed method.

关键词： Vibrations Force Stators Permanent magnet motors Electromagnetics Electromagnetic forces Analytical models

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

Fast Monte Carlo Simulation of Dynamic Power Systems Under C...

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IEEE General Meeting power& Energy Society

作者： Yiwei Qiu Jin Lin Xiaoshuang Chen Feng Liu Yonghua Songy State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China The University of Macau Macau China

ISBN: (数字)9781728155081

ISBN: (纸本)9781728155098

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.

关键词： Monte Carlo methods Uncertainty System dynamics power system dynamics Hypercubes Software Random variables

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