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| 1 | Very Short-term Spatial and Temporal Wind Power Forecasting: A Deep Learning Approach显示文摘In power systems that experience high penetration of wind power generation,very short-term wind power forecast is an important prerequisite for look-ahead power dispatch.Conventional univariate wind power forecasting methods at presentonly utilize individual wind farm historical data.However,studies have shown that forecasting accuracy canbe improved by exploring both spatial and temporal correlations among adjacent wind farms.Current research on spatial-temporal wind power forecasting is based on relatively shallow time series models that,to date,have demonstrated unsatisfactory performance.In this paper,a convolution operation is used to capture the spatial and temporal correlations among multiple wind farms.A novel convolution-based spatial-temporal wind power predictor(CSTWPP)is developed.Due to CSTWPP’s high nonlinearity and deep architecture,wind power variation features and regularities included in the historical data can be more effectively extracted.Furthermore,the online training of CSTWPP enables incremental learning,which makes CSTWPP non-stationary and in conformity with real scenarios.Graphics processing units(GPU)is used to speed up the training process,validating the developed CSTWPP for real-time application.Case studies on 28 adjacent wind farms are conducted to show that the proposed model can achieve superior performance on 5-30 minutes ahead wind power forecasts. | Tianyu Hu Wenchuan Wu Qinglai Guo Hongbin Sun Libao Shi Xinwei Shen | 2020 | CSEE Journal of Power and Energy Systems2020，6，2： | 3 |
| 2 | An Optimal Over-frequency Generator Tripping Strategy for Regional Power Grid with High Penetration Level of Renewable Energy显示文摘This paper proposes an optimal over-frequency generator tripping strategy aiming at implementing the least amount of generator tripping for the regional power grid with high penetration level of wind/photovoltaic(PV),to handle the over-frequency problem in the sending-end power grid under large disturbances.A steady-state frequency abnormal index is defined to measure the degrees of generator over-tripping and under-tripping,and a transient frequency abnormal index is presented to assess the system abnormal frequency effect during the transient process,which reflects the frequency security margin during the generator tripping process.The scenariobased analysis method combined with the non-parametric kernel density estimation method is applied to model the uncertainty of the outgoing power caused by the stochastic fluctuations of wind/PV power and loads.Furthermore,an improved fireworks algorithm is utilized for the solution of the proposed optimization model.Finally,the simulations are performed on a real-sized regional power grid in Southern China to verify the effectiveness and adaptability of the proposed model and method. | Zhihang Zhou Libao Shi Yixuan Chen | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，5： | 2 |
| 3 | Small Signal Stability Analysis with Penetration of Grid-connected Wind Farm of PMSG Type显示文摘The impacts of large-scale grid-connected wind farm on direct-driven permanent magnet synchronous generator(PMSG)type are discussed on the small signal stability performances of power systems.Firstly,a simplified practical model of wind farm of PMSG type is derived for analyzing small signal stability.The rotor-fluxoriented control strategy is applied to the modelling of PMSG.Secondly,the framework of small signal stability analysis incorporating wind farm of PMSG type is built.Finally,the different simulation scenarios based on the IEEE 3-generator-9-bus test system as benchmark are designed to conduct the eigenvalue analysis and to assess the impacts of wind farm of PMSG type on power system small signal stability.Some conclusions are drawn with simulation results. | Shi, Libao Kang, Li Ni, Yixin Yao, Liangzhong Bazargan, Masoud | 2012 | 电力系统自动化2012，36，8： | 2 |
| 4 | Nonlinear decentralized disturbance attenuation excitation control for power systems with nonlinear loads based on the Hamiltonian theory显示文摘 | HAO Jin CHEN Chen SHI Libao | 2007 | IEEE Trans on Energy Conversion2007，22，2： | 1 |
| 5 | Optimal powerflow solution incorporating wind power显示文摘 | SHI Libao WANG Chen YAO Liangzhong | 2012 | IEEE Systems Journal2012，6，2： | 1 |
| 6 | Ant colony optimization algorithm with random perturbation behavior to the problem of optimal unit commitment with probabilistic spinning reserve determination显示文摘 | Shi Libao Hao Jin Zhou Jiaqi | 2004 | Electtrc Power Systems Research2004，69，23： | 1 |
| 7 | Ant Colony Optimization Algorithm with Random Perturbation Behavior to the Problem of Optimal Unit Commitment with Probabilistic Spinning Reserve Determination显示文摘 | Shi Libao Hao Jin Zhou Jiaqi | 2004 | Electric Power Systems Research2004，69，23： | 1 |
| 8 | Optimal power flow solution incorporating wind power显示文摘 | Shi Libao Wang Chen Yao Liangzhong | 2012 | IEEE Trans on Energy Conversion2012，6，2： | 1 |
| 9 | Modelling analysis in power system small signal stability with grid-connected wind farms of DFiGtype显示文摘 | Wang Chen Shi Libao Wang Liming | 2008 | Wind Engineering2008，32，3： | 1 |
| 10 | Chinese investigation and research in Southern Ocean physical oceanography and meteorology during the Chinese Polar Programs 2011–2015显示文摘Within the context of developing a research presence in the Antarctic region, the first phase of the Chinese Polar Programs covered the period 2011–2015, which almost coincided with the 12 th Five-Year Plan(2011–2015). For the promotion of full understanding of the progress of Chinese expeditions and research in Antarctica, the observations and achievements of cruises during 2011–2015 are summarized in this paper. Four Antarctic cruises(28th–31st) were performed in the Prydz Bay and Antarctic Peninsula regions during the first phase of the Polar Programs. These cruises performed systemic collections of physical oceanographic and meteorological data to support further research on the ice–ocean–atmosphere interactions in Antarctica. Overall, 248 CTD/LADCP stations, 66 microstructure profiles, 507 XBT/XCTDs, 181 air sounding balloons, 58000 total gaseous mercury(TGM) concentrations, 452 aerosol samples, 294 atmospheric samples, 11 moorings, and 28 surface drifters were acquired or deployed during the four cruises. Using these extensive observations and other data, Chinese scientists have achieved new recognition in the fields of Southern Ocean physical oceanography and meteorology, as well as in other interdisciplinary subjects. These studies, which have been associated with scientific techniques, instrumentation, ocean circulation, water mass formation, energy transformation, and carbon uptake, have elucidated the dynamic mechanisms and potential effects of climate change in Antarctica. Finally, some observations based on experience gained during previous Chinese Antarctic Research and Expedition campaigns are summarized with advice for the improvement of future investigations in the Antarctic region. | GAO Libao WEI Zexun GUO Guijun SHI Jiuxin | 2016 | Advances in Polar Science2016，27，4： | 1 |
| 11 | Optimal power flow solution incorporating wind power显示文摘 | Shi Libao Wang Chen Yao Liangzhong | 2012 | IEEESystems Jottmal2012，6，2： | 1 |
| 12 | Modelling analysis in power system small signal stability with grid-connected wind farms of DFIGtype显示文摘 | Wang Chen Shi Libao Wang Liming | 2008 | Wind Engineering2008，32，3： | 1 |
| 13 | Voltage Stability Evaluation Incorporating Wind Power Intermittency显示文摘A simulation framework is proposed to evaluate the voltage stability of power systems incorporating wind power intermittency.Firstly,the power output modelings of three types of wind turbines are discussed.Secondly,the Jensen model is employed to simulate the wind farm with the wake effect.The Monte Carlo based technique is used to conduct the voltage stability evaluation incorporating the randomness of the wind speed based on the Weibull probability distribution.Thirdly,the relative sensitivity index(RSI)is calculated to identify weak buses during analysis.Finally,case studies with different simulation scenarios are carried out.Some statistical results involving weakness probability,expected value and variance of RSI as well as preliminary conclusions are drawn based on numerical simulation results. | Libao SHI Yang ZHAO Yixin NI Liangzhong YAO Masoud BAZARGAN | 2013 | 电力系统自动化2013，37，7： | 1 |
| 14 | Ant colony optimization algorithm with random perturbation behavior to the problem of optimal unit commitment with probabilistic spinning reserve determination显示文摘 | Shi Libao Hao Jin Zhou Jiaqi | 2004 | Electric Power Systems Research2004，69，23： | 1 |
| 15 | Nonlinear decentralized disturbance attenuation excitation control for power systems with nonlinear loads based on the Hamiltonian theory显示文摘 | Jin Hao Chen Chen Libao Shi | 2007 | IEEE Transactions on Energy Conversion2007，22，2： | 1 |
| 16 | Modelling analysis in power system small signal stability with grid- connected wind farms of DFIG type显示文摘 | WANG Chen SHI Libao WANG Liming | 2008 | Wind Engineering2008，32，3： | 1 |
| 17 | Convexification Technique for Optimal Thermal-Wind-Photovoltaic Coordination Dispatch Incorporating an Energy Storage System显示文摘This paper proposes a solution to implementing acoordinated optimal day-ahead dispatch in a hybrid thermalwind-photovoltaic power system incorporating an energy storagesystem (ESS). Our aim is to minimize total generation costand restrain the frequent change of ESS charging/dischargingstatus while meeting a series of system operating constraints,including a proposed coordinated dispatch strategy for thepurpose of reducing thermal power fluctuations. A novel twostage convexification technique (TSCT) is designed and leveragedto convert the original non-convex optimal day-ahead dispatchmodel, without taking into account the constraints of the proposed coordinated dispatch strategy into two convex quadraticprogramming problems. When introducing the constraint ofthe coordinated dispatch strategy, the corresponding inequalityconstraints are transformed into a series of linear equalityconstraints, after which the original optimal day-ahead dispatchmodel can be solved by the TSCT mentioned above. Finally,numerical simulations and comparative analysis are performedon the IEEE standard test systems to verify the validity andeffectiveness of the proposed model and method. | Haoxin Wang Libao Shi | 2023 | CSEE Journal of Power and Energy Systems2023，9，6： | 0 |
| 18 | An enhanced cascading failure model integrating data mining technique显示文摘An enhanced cascading failure model integrating data mining technique is proposed in this paper.In order to better simulate the process of cascading failure propagation and further analyze the relationship between failure chains,in view of a basic framework of cascading failure described in this paper,some significant improvements in emerging prevention and control measures,the subsequent failure search strategy as well as the statistical analysis for the failure chains are made elaborately.Especially,a sequential pattern mining model is employed to find out the association pertinent to the obtained failure chains.In addition,a cluster analysis model is applied to evaluate the relationship between the intermediate data and the consequence of obtained failure chain,which can provide the prediction in potential propagation path of cascading failure to reduce the risk of catastrophic events.Finally,the case studies are conducted on the IEEE 10-machine-39-bus test system as benchmark to demonstrate the validity and effectiveness of the proposed enhanced cascading failure model.Some preliminary concluding remarks and comments are drawn. | Qiming Sun Libao Shi Yixin Ni Dajun Si Jizhong Zhu | 2017 | Protection and Control of Modern Power Systems2017，2，1： | 0 |
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