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| 1 | Decision Tree Based Online Stability Assessment Scheme for Power Systems with Renewable Generations显示文摘The stochastic fluctuation of renewable energy resources has significant impact on the stability of the power system with renewable generations and results in change in stability.Therefore,it is necessary to track the changing stability of the power system with renewable generations,a task that can be performed online.This paper details the use of decision trees to predict multi-mode damping of power system integrating renewable generations with the help of wide-area measurements system(WAMS).Power systems with renewable source generation are complex with vast amounts of data being collected from WAMS.Decision trees(DTs)are employed as a means to handle vast quantities of wide-area information,which involves the mode damping information indicating the stability.A 16-generator,68-bus system with photovoltaic power generation and wind power generation is used as the test system.Remote signals obtained from phasor measurement units(PMUs)are employed as the input variables of DTs for predicting purposes.The simulation results demonstrate that the proposed predicting scheme is able to suggest the optimal course of action to remedy any near instability or unstable electromechanical oscillations even without prior knowledge of the varying output of the renewable source power. | Tong Wang Tianshu Bi Haifeng Wang Jizhen Liu | 2015 | CSEE Journal of Power and Energy Systems2015，1，2： | 21 |
| 2 | Phasor measurement units, WAMS, and their applications in protection and control of power systems显示文摘The paper provides a short history of the phasor measurement unit(PMU) concept. The origin of PMU is traced to the work on developing computer based distance relay using symmetrical component theory. PMUs evolved from a portion of this relay architecture. The need for synchronization using global positioning system(GPS) is discussed, and the wide area measurement system(WAMS) utilizing PMU signals is described. A number of applications of this technology are discussed, and an account of WAMS activities in many countries around the world are provided. | Arun G.PHADKE Tianshu BI | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，4： | 16 |
| 3 | On the mechanism and control for the ultra-low frequency oscillation in NY Power Grid with large-scale hydropower显示文摘The power grid with large proportion of hydropower may engage the ultra-low frequency oscillation (ULFO),which threatening the operation of system.To the NY Power Grid system,whose dimension is over thousands,this paper reveals the cause of ULFO with the phase portrait method,i.e.,lies in the saturation of the different limits of the governor system of the generators,in other words,the occurrence of limit cycle is due to the non-smooth bifurcation.And furthermore,it proposes two methods to suppress ULFO with the philosophy of destroying the condition of non-smooth bifurcation.In detail,first,the phenomenon of ULFO in NY Power Grid,the damping characteristics and the limits in the governor system of the hydropower units are presented.Second,based on the non-smooth bifurcation theory,the mathematical basis of the oscillation in the non-smooth system caused by the saturation of limits is introduced.And then,the non-oscillation and oscillation dynamic of the system corresponding to without/with limits in the governor system are analyzed.Furthermore,it discusses the influence of the saturation of single limit on the characteristics of ULFO with the phase portraits.Moreover,the phase portraits of the ULFO under different faults is analyzed,and it shows that the limiting saturation occurs with a large enough disturbance.Thus,the ULFO is resulting from the negative damping of generation and the saturation of multiple limits under a large enough disturbance.In addition,according to the above mechanism,two strategies to suppress the ULFO,i.e.,the governor parameters tuning and the fault strength relief are designed.The simulation shows the effectiveness of proposed strategies. | Ancheng XUE Jiawei WANG Chao ZHENG Joe H.CHOW Tianshu BI | 2019 | Control Theory and Technology2019，17，3： | 11 |
| 4 | Bad Data Detection Algorithm for PMU Based on Spectral Clustering显示文摘Phasor measurement units(PMUs) can provide real-time measurement data to construct the ubiquitous electric of the Internet of Things. However, due to complex factors on site, PMU data can be easily compromised by interference or synchronization jitter. It will lead to various levels of PMU data quality issues, which can directly affect the PMU-based application and even threaten the safety of power systems. In order to improve the PMU data quality, a data-driven PMU bad data detection algorithm based on spectral clustering using single PMU data is proposed in this paper. The proposed algorithm does not require the system topology and parameters. Firstly, a data identification method based on a decision tree is proposed to distinguish event data and bad data by using the slope feature of each data. Then, a bad data detection method based on spectral clustering is developed. By analyzing the weighted relationships among all the data, this method can detect the bad data with a small deviation. Simulations and results of field recording data test illustrate that this data-driven method can achieve bad data identification and detection effectively. This technique can improve PMU data quality to guarantee its applications in the power systems. | Zhiwei Yang Hao Liu Tianshu Bi Qixun Yang | 2020 | Journal of Modern Power Systems and Clean Energy2020，8，3： | 10 |
| 5 | Subsynchronous oscillation monitoring and alarm method based on phasor measurements显示文摘Owing to the large-scale grid connection of new energy sources, several installed power electronic devices introduce sub-/supersynchronous inter-harmonics into power signals, resulting in the frequent occurrence of subsynchronous oscillations(SSOs). The SSOs may cause significant harm to generator sets and power systems;thus, online monitoring and accurate alarms for power systems are crucial for their safe and stable operation. Phasor measurement units(PMUs) can realize the dynamic real-time monitoring of power systems. Based on PMU phasor measurements, this study proposes a method for SSO online monitoring and alarm implementation for the main station of a PMU. First, fast Fourier transform frequency spectrum analysis is performed on PMU current phasor amplitude data to obtain subsynchronous frequency components. Second, the support vector machine learning algorithm is trained to obtain the amplitude threshold and subsequently filter out safe components and retain harmful ones. Finally, the adaptive duration threshold is determined according to frequency susceptibility, amplitude attenuation, and energy accumulation to decide whether to transmit an alarm signal. Experiments based on field data verify the effectiveness of the proposed method. | Yuan Qi Jiaxian Li Hao Liu Tianshu Bi | 2020 | Global Energy Interconnection2020，3，5： | 5 |
| 6 | Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements显示文摘The application and development of a wide-area measurement system(WAMS)has enabled many applications and led to several requirements based on dynamic measurement data.Such data are transmitted as big data information flow.To ensure effective transmission of wide-frequency electrical information by the communication protocol of a WAMS,this study performs real-time traffic monitoring and analysis of the data network of a power information system,and establishes corresponding network optimization strategies to solve existing transmission problems.This study utilizes the traffic analysis results obtained using the current real-time dynamic monitoring system to design an optimization strategy,covering the optimization in three progressive levels:the underlying communication protocol,source data,and transmission process.Optimization of the system structure and scheduling optimization of data information are validated to be feasible and practical via tests. | Jinsong Li Hao Liu Wenzhuo Li Tianshu Bi Mingyang Zhao | 2022 | Global Energy Interconnection2022，5，2： | 2 |
| 7 | Research on Sampling Test Effect of Large-Scale Power Transformer and its Improvement based on Game Theory显示文摘 | BI Tianshu CHEN Jinmeng WU Lanmin | 2014 | Science & Technology2014，7，3： | 1 |
| 8 | Analysis of nonlinear torsional dynamics using second-order solutions显示文摘 | Chen Wuhui Bi Tianshu Yang Qixun | | 0，，01： | 1 |
| 9 | First-zone distance re- laying algorithm of parallel transmission lines for cross-country earthed faults显示文摘 | XU Zhenyu LI Wei BI Tianshu | 2012 | IEEE Trans on Power Delivery2012，27，4： | 1 |
| 10 | GCN-LSTM spatiotemporal-network-based method for post-disturbance frequency prediction of power systems显示文摘Owing to the expansion of the grid interconnection scale,the spatiotemporal distribution characteristics of the frequency response of power systems after the occurrence of disturbances have become increasingly important.These characteristics can provide effective support in coordinated security control.However,traditional model-based frequencyprediction methods cannot satisfactorily meet the requirements of online applications owing to the long calculation time and accurate power-system models.Therefore,this study presents a rolling frequency-prediction model based on a graph convolutional network(GCN)and a long short-term memory(LSTM)spatiotemporal network and named as STGCN-LSTM.In the proposed method,the measurement data from phasor measurement units after the occurrence of disturbances are used to construct the spatiotemporal input.An improved GCN embedded with topology information is used to extract the spatial features,while the LSTM network is used to extract the temporal features.The spatiotemporal-network-regression model is further trained,and asynchronous-frequency-sequence prediction is realized by utilizing the rolling update of measurement information.The proposed spatiotemporal-network-based prediction model can achieve accurate frequency prediction by considering the spatiotemporal distribution characteristics of the frequency response.The noise immunity and robustness of the proposed method are verified on the IEEE 39-bus and IEEE 118-bus systems. | Dengyi Huang Hao Liu Tianshu Bi Qixun Yang | 2022 | Global Energy Interconnection2022，5，1： | 1 |
| 11 | Analysis of nonlinear torsional dynamics using second-order solutions显示文摘 | Chen Wuhui Bi Tianshu Yang Qixun | 2010 | IEEE Transactions on Power Systems2010，25，1： | 1 |
| 12 | Study on distribution reliability considering voltage sags and acceptable indices 显示文摘 | Xiao Xiangning Tao Shun Bi Tianshu | 2007 | IEEE Trans Power Delivery2007，22，： | 1 |
| 13 | First-zone distance relaying algorithm of parallel transmission lines for cross-country grounded faults显示文摘 | BI Tianshu LI Wei XU Zhenyu | 2012 | IEEE Transactions on Power Delivery2012，27，4： | 1 |
| 14 | On-line fault section estimation in power systems with radial basis function neural network 显示文摘 | Bi Tianshu Yan Zheng Wen Fushuan | 2000 | International Journal of Electrical Power and Energy Systems2000，24，4： | 1 |
| 15 | The wide world of wide-area measurement显示文摘 | Phadke A G Hector Volskis Rui Menezes de Mo- raes Tianshu Bi | 2008 | IEEE Power : Energy Magazine2008，5，6： | 1 |
| 16 | Measurements get together显示文摘 | CHAKRABARTI S KYRIAKIDES E BI Tianshu | | 0，，： | 1 |
| 17 | Efficient multiway graph partitioning method for fault section estimation in large-scale power networks显示文摘 | Bi Tianshu Ni Yixin Shen C M | | 0，，03： | 1 |
| 18 | A PMU data recovering method based on preferred selection strategy显示文摘Nowadays, the technology of renewable sources grid-connection and DC transmission has a rapid development. And phasor measurement units(PMUs) become more notable in power grids, due to the necessary of real time monitoring and close-loop control applications. However, the PMUs data quality issue affects applications based on PMUs a lot. This paper proposes a simple yet effective method for recovering PMU data. To simply the issue, two different scenarios of PMUs data loss are first defined. Then a key combination of preferred selection strategies is introduced. And the missing data is recovered by the function of spline interpolation. This method has been tested by artificial data and field data obtained from on-site PMUs. The results demonstrate that the proposed method recovers the missing PMU data quickly and accurately. And it is much better than other methods when missing data are massive and continuous. This paper also presents the interesting direction for future work. | Zhiwei Yang Hao Liu Tianshu Bi Qixun Yang Ancheng Xue | 2018 | Global Energy Interconnection2018，1，1： | 1 |
| 19 | Study on distribution reliability considering voltage sags and acceptable indices显示文摘 | Xiao Xiangning Tao Shun Bi Tianshu | 2007 | IEEE Trans on Power Delivery2007，22，2： | 1 |
| 20 | A review of single phase adaptive auto-reclosing schemes for EHV transmission lines显示文摘Statistics shows that transients produced by lightning or momentary links with external objects, have produced more than 80% of faults in overhead lines. Reclosing of circuit breaker (CB) after a pre-defined dead time is very common however reclosing onto permanent faults may damage the power system stability and aggravate severe damage to the system. Thus, adaptive single-phase auto-reclosing (ASPAR) based on investigating existing electrical signals has fascinated engineers and researchers. An ASPAR blocks CB reclosing onto permanent faults and allows reclosing permission once secondary arc is quenched. To address the subject, there have been many ASPARs techniques proposed based on the features trapped in a faulty phase. This paper presents a critical survey of adaptive auto-reclosing schemes that have hitherto been applied to EHV transmission lines. | Waqar Ahmad Khan Tianshu Bi Ke Jia | 2019 | Protection and Control of Modern Power Systems2019，4，1： | 0 |
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