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An unsupervised hourly weather status pattern recognition and blending fitting model for PV system fault detection

Applied Energy 2022年 319卷

作者： Jiaqi Qu Zheng Qian Yan Pei Lu Wei Hamidreza Zareipour Qiang Sun School of Instrumentation and Optoelectronic Engineering Beihang University Beijing China School of Electronics and Information Engineering Beihang University Beijing China The Department of Electrical and Computer Engineering University of Calgary Calgary Canada State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

Detecting PV system faults in a timely fashion is important to ensure the safe operation of equipment and reduce their impact on the economy of the PV systems. It is necessary to further improve the time-sensitive performance evaluation of the system. However, the hourly weather scenario segmentations are seldom considered during the hour-level online monitoring process. Therefore, a hybrid method based on unsupervised hourly weather status pattern recognition and blending fitting model is proposed for hourly fault detection to improve the performance evaluation of PV systems. The proposed solution includes three parts, firstly, in the data preprocessing stage, the measured power with the errors and noise under normal operation situation caused by the environment changes is corrected by monthly linear fitting. Secondly, an unsupervised hourly weather status pattern recognition method is constructed using the measured radiation data, including unsupervised clustering and the Multiclass-GBDT-LR classification process. Finally, after eliminating the anomalies and errors, the blending fitting model of the hourly sub-weather status is established. Through the analysis of power plants in Australia and China, the proposed solutions are validated and evaluated to be superior to existing data-driven solutions in terms of fitting accuracy, detection validity, and response time. Numerical results of case studies indicate that the developed methodology under sub-weather has improved the detection accuracy up to 97.71% and 99.29% compared to benchmark models.

关键词： Photovoltaic systems performance Hourly fault detection Unsupervised hourly weather status pattern recognition Blending fitting model

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Investigating the transient torque of turbo-generators in a power system integrating wind farms 8

Investigating the transient torque of turbo-generators in a ...

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8th Renewable power generation Conference, RPG 2019

作者： Yang, Bowen Yan, Gangui Xie, Xiaorong Wang, Yanhui Tang, Jian Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing China State Grid East Mongolia Electric Power Supply Co. Ltd. Hohhot China

ISBN: (纸本)9781839531255

The renewable energy sources connected to the grid will cause the power system to oscillate and even affect neighbouring turbo-generators. For example, the wind turbines and their converter control systems may cause shaft torsional vibration in the steam turbine units, which affects the safety of the system. Therefore, it is of significance to investigate the transient torque of turbo-generators in a power system integrating wind farms. This paper takes a power plant in Inner Mongolia area of China as the case, the power of which is transmitted via the AC/DC hybrid power system with wind and thermal power. A typical equivalent system model of the wind-thermal-bundled access network is established firstly. Consider setting the fault on the line with series capacitor compensation and observe units' torque variation. Then the impact on sub-synchronous resonance (SSR) characteristics from many factors was investigated through the time-domain simulation, including the unit combination mode (including the long-term accessed DFIGs condition), the fault type and position, the system equivalent impedance, the fault starting/clearing time and the mechanical mutual damping coefficient of shafting, etc. Finally, the influence of each factor on transient torque is summarized, and the inner associations between the shaft torsional vibration in the turbo-generators and the converter-based wind turbines are clarified. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Wind turbines

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Electron relaxation properties of Ar magnetron plasmas

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Plasma Science and Technology 2018年第3期20卷 87-94页

作者： Xinjing CAI Xinxin WANG Xiaobing ZOU Department of Electrical Engineering Northeast Electric Power UniversityJilin 132012People's Republic of China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua UniversityBeijing 100084People's Republic of China

An understanding of electron relaxation properties in plasmas is of importance in the application of *** improved multi-term approximation of the Boltzmann equation is employed to study electron transport and relaxation properties in ***,inelastic and nonconservative collisions between electrons and neutral particles are *** expressions for the transport coefficients are obtained using the expansion coefficients and the collision operator *** solutions of the matrix equations for the expansion coefficients are also *** calculations of the Reid model are presented to demonstrate the accuracy of the improved multi-term *** is shown that the twoterm approximation is generally not accurate enough and the magnetic fields can reduce the anisotropy of the velocity distribution *** electron relaxation properties of Ar plasmas in magnetrons for various magnetic fields are *** is demonstrated that the energy parameters change more slowly than the momentum parameters.

关键词： electron transport electron relaxation Boltzmann equation multi-term approximation

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Traveling waves based fault line selection using sparse representation

Traveling waves based fault line selection using sparse repr...

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International Conference on Advanced power system Automation and Protection (APAP)

作者： Wen Xu Shenxing Shi Xinzhou Dong Guangmei Zhang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China Southern Power Grid Guizhou Liupanshui Power Supply Bureau Guizhou China

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

Traveling wave method has been proved to be effective in fault line selection of power distribution system with the neutral non-effectively grounded. However, it can be easily disturbed by non-faulty traveling wave when selecting the line. For this reason, this paper proposes a new traveling wave line selection method based on sparse representation, in which current traveling wave signals are measured for the selection task. The algorithm of selection is based on the idea that all non-zero terms in the sparse coefficients of the measured signal are found to be associated with training samples from a single class, and the test samples can be easily assigned to the class. This makes it possible to distinguish between the non-faulty traveling wave and the real fault traveling wave.

关键词： Circuit faults Dictionaries Grounding Mathematical model Interference power distribution Integrated circuit modeling

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Reliability Assessment of generation and Transmission systems Considering Multi-Form Access of "Source-Network-Load-Storage"

Reliability Assessment of Generation and Transmission System...

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2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： Qi, Ning Cheng, Lin Jiang, Yi Luo, Jinshan Sun, Ke Wang, Dan Cheng, Liang Wang, Quanquan Tsinghua University State Key Lab. of Control and Simulation of Power System and Generation Equipment Beijing China State Grid Economic and Technological Research Institute Co. Ltd. Beijing China State Grid Jiangsu Electric Power Co. LTD. China State Grid Jiangsu Economic Research Institute Jiangsu China

ISBN: (纸本)9781728149301

Reliability assessment is the key to ensure the security of power system, however, the rapid development of "source-network-load-storage" cause enormous obstacle to the traditional reliability method. A improved method for reliability assessment of generation and transmission systems is proposed in this paper which lays importance on the coordinate operation and uncertainty of "source-network-load-storage". Firstly, the reliability and operation model of "source-network-load- storage" is proposed to handle certain novel elements. Then the reliability assessment with operation simulation is proposed to make balance between generation and load under uncertainty. Finally, numerical analysis focusing on the different form and proportion of "source-network-load-storage" is tested in IEEE RTS-79 system so as to demonstrate the practicality and effectiveness of the improved method. © 2019 IEEE.

关键词： Renewable energy resources

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Vulnerability Assessment Based on Operational Reliability Weighted and Preventive Planning

Vulnerability Assessment Based on Operational Reliability We...

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2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： Qi, Ning Cheng, Lin Jiang, Yi Luo, Jinshan Sun, Ke Wang, Dan Wang, Weiyuan Sun, Wentao Tsinghua University State Key Lab. of Control and Simulation of Power System and Generation Equipment Beijing China State Grid Economic and Technological Research Institute Co. Ltd. Beijing China State Grid Jiangsu Electric Power Co. LTD. China State Grid Jiangsu Economic Research Institute Jiangsu China

ISBN: (纸本)9781728149301

Vulnerability assessment is the key to the security and stability analysis of power system. During the operation of power grid, the fault risk of electrical equipment is not fixed because of the influence of system operating conditions, operating environment and equipment itself, so the vulnerability of power system will also be changeable. Based on the existing research results of complex network theory, a vulnerability assessment method considering operational reliability is proposed in this paper. Firstly, the basic idea of reliability weighted vulnerability assessment is introduced. Then HITS algorithm and PageRank algorithm will be used to analyze the basic vulnerability of power grid topology. Moreover, the vulnerability index of power grid considering reliability weighted is calculated. Finally, numerical analysis focusing on the difference between basic and improved assessment method is tested in IEEE RTS-79 system, and the preventive planning suggestions will be given based on the vulnerability assessment results. © 2019 IEEE.

关键词： Numerical methods

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Nonintrusive uncertainty quantification of dynamic power systems subject to stochastic excitations

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 Beijing100087 China Department of Electrical and Computer Engineering University of Macau 999078 China Department of Electrical Engineering Tsinghua University Beijing100087 China

Continuous-time random disturbances (also called stochastic excitations) due to increasing renewable generation have an increasing impact on power system dynamics;However, except from the Monte Carlo simulation, most existing methods for quantifying this impact are intrusive, meaning they are not based on commercial simulation software and hence are difficult to use for power utility companies. To fill this gap, this paper proposes an efficient and nonintrusive method for quantifying uncertainty in dynamic power systems subject to stochastic excitations. First, the Gaussian or non-Gaussian stochastic excitations are modeled with an Itô process as stochastic differential equations. Then, the Itô process is spectrally represented by independent Gaussian random parameters, which enables the polynomial chaos expansion (PCE) of the system dynamic response to be calculated via an adaptive sparse probabilistic collocation method. Finally, the probability distribution and the high-order moments of the system dynamic response and performance index are accurately and efficiently quantified. The proposed nonintrusive method is based on commercial simulation software such as PSS/E with carefully designed input signals, which ensures ease of use for power utility companies. The proposed method is validated via case studies of IEEE 39-bus and 118-bus test *** codes 93E10 Copyright © 2020, The Authors. All rights reserved.

关键词： Uncertainty analysis

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Generator model validation and parameter calibration based on PMU measurement data 3

Generator model validation and parameter calibration based o...

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3rd IEEE International Conference on Energy Internet, ICEI 2019

作者： Zhang, Yanjun Jiang, He Gao, Kai Zhang, Jian Liu, Jiaqi Wang, Yupeng State Grid Liaoning Electric Power Co Ltd. Shenyang China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781728114934

power system dynamic simulation is an important tool for us to master the dynamic behavior of power systems. It is very important to ensure the credibility of simulation results. Dynamic model validation and calibration has become one of the important applications of concern. In this paper, the method of using the dynamic data recorded by the phasor measurement unit (PMU) to improve the accuracy of the generator model is proposed, including model validation and model parameter id-entifycation. In model validation, the playback of the distur-bance event is used to simulate the response of the model for comparison with the measurement information of the PMU. If the simulation result is inconsistent with the actual mea-surements, the model parameters are not accurate. In the parameter identification step, the perturbation method is used to calculate the trajectory sensitivity of the parameter, and the problematic parameters causing the simulation error is iden-tified, then artificial intelligent method is used to automatically calib-ration the problematic parameters. Finally, other perturbation data is used to validate the credibility of the calibrated generator model, and the results obtained proved that the final calibration model is superior to the existing model. © 2019 IEEE.

关键词： Phasor measurement units

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Consensus-Based Distributed Economic Dispatch with Optimized Transition Matrix

Consensus-Based Distributed Economic Dispatch with Optimized...

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IEEE power and Energy Society General Meeting

作者： Xinfei Yan Haiwang Zhong Jianxiao Wang Zhenfei Tan State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Beijing China

With an increasing penetration of distributed energy resources (DERs) in Energy Internet, there is a surge of interest in distributed economic dispatch (DED) problems. The existing literature mainly focuses on average consensus algorithms, the convergence of which remains a bottleneck in practical applications. To improve the convergence rate of DED, this paper proposes a consensus algorithm based on optimized transition matrix (TM) of Markov chain. A DED model is firstly developed under a consensus-based information exchange architecture, in which a generator only communicates with its neighbors. Thus DED is implemented in an iterative manner with generators exchanging information according to a predefined TM. In contrast to the aver-agely weighted TM, we minimize the Frobenius norm (F-norm) of the TM in order to limit the eigenvalues that greatly influence the convergence rate of DED. Additionally, a virtual power method is introduced to meet generators' power limits by reformulating the power allocation ratio. Case studies verify the effectiveness and efficiency of the proposed algorithm.

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Multi-channel attention mechanism graph convolutional network considering cumulative effect and temporal causality for day-ahead wind power prediction

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Energy 2025年 332卷

作者： Mao Yang Renxian Jiang Bo Wang Guozhong Fang Yunpeng Jia Fulin Fan Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100912 China State Grid Corporation of China Northeast Branch Liaoning 100031 China Grid Jilin Electric Power Co. Ltd. Jilin Power Supply Company of State Jilin 130021 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China Institute for Energy and Environment University of Strathclyde Glasgow G1 1XW UK

Under the current situation where the proportion of wind power generation in the existing energy structure is gradually increasing, accurate short-term power prediction of wind farm cluster (WFC) plays an important auxiliary role in the formulation of regional power generation plans. However, it is difficult to clarify the correlation between wind farms in the power prediction of WFC, which leads to the difficulty of stable and accurate prediction. Therefore, this paper proposes a short-term power prediction method for WFC considering wind power cumulative effect (CE) and temporal causality (TC). Firstly, the two relationships (CE and TC) between wind farms are clarified and used to construct an adjacency matrix separately, then the error characteristics (EC) are used to form an adjacency matrix as well. Secondly, the adjacency matrix information with different attributes is fused by the multi-channel attention mechanism to obtain the wind power prediction results. Finally, the proposed method is applied to three WFCs in China, by which the universality and effectiveness of the method is verified. Compared with the traditional prediction method, its RMSE is reduced by 1.55 %, 1 % and 3.4 % on average.

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