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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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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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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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Experimental Research on Typical Single-Phase High Resistance Grounding Fault Detection Methods in Resonant Grounding Distribution System

Experimental Research on Typical Single-Phase High Resistanc...

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

作者： Xin Cui Bin Wang Xinzhou Dong Kun Liu Tsinghua University Key Lab of Control and Simulation of Power Systems and Generation Equipment Beijing China Key Lab for Power System Protective Relaying Real Time Digital Simulation of Guangdong Power Grid Guangzhou China

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

The problem of high resistance grounding fault detection in resonant grounding system is always the pain point and difficulty in the field of power system research. To solve the problem, based on PSCAD software, this paper firstly establishes a typical distribution system model, and analyzes the relationship between the transient component, traveling wave component and the fault initial angle, transition resistance value and arc. Secondly, this paper analyzes the effect of the main fault detection methods such as transient methods and travelling wave method, and gives the effective domain of different detection methods. Above analysis establishes a complete systematic test scheme for the high resistance grounding fault detection, and provides an effective test support for the subsequent effectual fault detection method for high resistance grounding fault.

关键词： Grounding Transient analysis Resistance Circuit faults Fault detection power cables Steady-state

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Modeling and simulation analysis of dual-rotor vibration system with multiple faults

Modeling and simulation analysis of dual-rotor vibration sys...

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Society for Machinery Failure Prevention Technology Conference 2018: Intelligent Technologies for equipment and Human Performance Monitoring, MFPT 2018

作者： Yang, Yizhou Liu, Chao Jiang, Dongxiang Yang, Wenguang State Key Lab. of Control and Simulation of Power Systems and Generation Equipment Department of Thermal Engineering Tsinghua University Beijing100084 China

Dual-rotor system is an important rotor form in rotating machinery like gas turbine engine. Its complex structure results in rich dynamical behaviors and more probability to failure. The modeling and simulation of the dual-rotor system can help to understand its dynamic characteristics and provide theoretical support for the design, operation and maintenance. In this paper, a dynamic model of a dual-rotor system with multiple rotor faults is established. The dual-rotor vibration model without any fault is built by finite element method, where the two shafts are connected by an inter-shaft bearing and nonlinear models of rolling element bearing and squeeze film damper are considered. The numerical integration method of Newmark-β is used to obtain the steady-state vibration response of the system. Then rotor faults are introduced to the system model, including unbalance, misalignment, looseness and rub-impact. The steady-state responses of single faults in the dual-rotor system are analyzed and typical fault features are obtained. Then coupling characteristics between different rotor faults, and the influences of the squeeze film dampers on the dynamic characteristics and fault features of the system are studied. © 2018 Proceedings of the 9th International Symposium on Imprecise Probability.

关键词： Rotating machinery

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High impedance fault analysis and location of single-phase-to-ground fault in feeder with multiple DGS connections

High impedance fault analysis and location of single-phase-t...

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8th Renewable power generation Conference (RPG 2019)

作者： Xuan Ren Bin Wang Xinzhou Dong Department of Electrical Engineering Tsinghua University Beijing China Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

Since the single-terminal fault location in the collection line of wind farm is seriously affected by the complex wind turbine branch, the traditional fault location methods are not applicable to the wind farm anymore. According to the traditional single-terminal impedance fault location method, the zero-fault sequence network of wind farm is studied. Generally, the box transformer is delta-connected to the wind turbine, so when a single-phase-to-ground fault occurs, there is no zero-sequence fault current flowing in the wind turbine branch. Then an improved fault location algorithm for the collection line of wind farm is proposed. In this method, with the wind turbine branch current considered, the collection line of wind farm is divided into several sections, and the fault location is searched step by step after the fault. This method can effectively reduce the influence of wind turbine branch on fault location and the fault distance and the fault resistance can be calculated accurately. Based on PSCAD simulation, the proposed fault location algorithm is validated.

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A Corrective control Approach For Combined Heat And power System integrated with Multiple Energy Storage System

A Corrective Control Approach For Combined Heat And Power Sy...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Lin, Qunli Shen, Xinwei Sun, Yong Li, Zhenyuan Guo, Qinglai Sun, Hongbin Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Grid Corp. of China Jilin Power Grid Company Jilin China State Key Lab. of Control and Simulation of Power System and Generation Equipments Tsinghua University Beijing China

ISBN: (纸本)9781728135205

The integrated Energy System (IES) becomes very important nowadays, however, the coupling between multiple energy systems will bring new challenges to the security control of the IES, such as combined heat and power (CHP) system. The corrective control means that the operations can be adjusted after contingency happens to eliminate the constraints violation in the contingency state such as the transmission outage or generator outage. This paper proposes a corrective control approach for CHP system integrated with the energy storage system based on security constrained economic dispatch (SCED) model. Case studies based on the IEEE 9-bus CHP system are presented to verify the method. The case result shows that the energy storage device can solve the ramping of the unit's output adjustment well. The corrective control method is more scientific and economical. © 2019 IEEE.

关键词： Outages

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CCF early warning method of LCC-HVDC based on XGBoost algorithm

CCF early warning method of LCC-HVDC based on XGBoost algori...

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8th Renewable power generation Conference (RPG 2019)

作者： Zhizhong Li Bin Wang Haigang Wang Bin Yu Min Xie Shi Chen Xinzhou Dong Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing 100084 China State Grid Anhui electric power company Hefei 230061 China

ISBN: (数字)9781839531248

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.

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Optimization of Operation Strategy of Virtual power Plants Involved in Peak Shaving

Optimization of Operation Strategy of Virtual Power Plants I...

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China International Electrical and Energy Conference (CIEEC)

作者： Qiuchen Yun Wenzhong Gao Fang Zhang Lin Cheng Liting Tian School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

ISBN: (数字)9781728116754

ISBN: (纸本)9781728116761

In recent years, as the consumption rate of renewable energy has increased, the impact of renewable energy on the power grid has also increased. Currently, distribution network system operators and transmission line system operators are unable to acquire and control the operational status of renewable energy sources such as wind power photovoltaics. These phenomena pose a significant challenge to the safety and stability of the operation of the power system. The virtual power plant is a feasible solution, based on the data acquisition terminal of advanced communication technology, decentralized control or centralized control of DER. Based on the virtual power plant, this paper aggregates three types of resources, wind power, photovoltaic, and electric vehicles, which are typical on the supply side and the demand side. Then, the virtual power plant is regarded as a whole to accept the dispatching instructions of the power grid, formulate the operational strategy of the internal resources of the virtual power plant, and participate in the peaking service.

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