Quantitative Precipitation Forecast(QPF)is a challenging issue in seamless prediction.QPF faces the following difficulties:(i)single rather than multiple model products are still used;(ii)most QPF methods require long...Quantitative Precipitation Forecast(QPF)is a challenging issue in seamless prediction.QPF faces the following difficulties:(i)single rather than multiple model products are still used;(ii)most QPF methods require long-term training samples not easily available,and(iii)local features are insufficiently reflected.In this work,a multi-model blending(MMB)algorithm with supplemental grid points(SGPs)is experimented to overcome these shortcomings.The MMB algorithm includes three steps:(1)single-model bias-correction,(2)dynamic weight MMB,and(3)light-precipitation elimination.In step 1,quantile mapping(QM)is used and SGPs are configured to expand the sample size.The SGPs are chosen based on similarity of topography,spatial distance,and climatic characteristics of local precipitation.In step 2,the dynamic weight MMB uses the idea of ensemble forecasting:a precipitation process can be forecast if more than 40% of the models predict such a case;moreover,threat score(TS)is used to update the weights of ensemble members.Finally,in step 3,the number of false alarms of light precipitation is reduced,thus alleviating unreasonable expansion of the precipitation area caused by the blending of multiple models.Verification results show that using the MMB algorithm has effectively improved the TS and bias score(BS)for blended 6-h QPF.The rate of increase in TS for heavy rainfall(25-mm threshold)reaches 20%-40%;in particular,the improvement has reached 47.6% for forecast lead time of 24 h,compared with the ECMWF model.Meanwhile,the BS is closer to 1,which is better than any single-model forecast.In sum,the QPF using MMB with SGPs shows great potential to further improve the present operational QPF in China.展开更多
Based on a lot of measurement and analysis,this paper find that the unbalanced nature of 35 kV grids due to unsymmetrical capacitance values gives difficulty in neutral point operation in mountainous area.Improving co...Based on a lot of measurement and analysis,this paper find that the unbalanced nature of 35 kV grids due to unsymmetrical capacitance values gives difficulty in neutral point operation in mountainous area.Improving compensation of Petersen coil can rectify imbalance of voltage but bring up new problem that Petersen coil can not extinguish grounding arc effectively in fault.To put down contradiction mentioned above,this paper proposes a combination operation for neutral point of 35 kV grids as neutral point insulated in routine operation and grounding through Petersen coil in fault,then EMTP simulation is carried out.Simulation indicates that new neutral operation method can improve lightning withstand level and decrease trip-out rate of grids.展开更多
In this study,we investigate the optimal location of access points(APs) to connect end nodes with a service provider through power-line communication in smartgrid communication networks.APs are the gateways of power-d...In this study,we investigate the optimal location of access points(APs) to connect end nodes with a service provider through power-line communication in smartgrid communication networks.APs are the gateways of power-distribution communication networks,connecting users to control centers.Hence,they are vital for the reliable,safe,and economical operation of a power system.This paper proposes a planning method for AP allocation that takes into consideration economics,reliability,network delay,and(n-1) resilience.First,an optimization model for the AP location is established,which minimizes the cost of installing APs,while satisfying the reliability,network delay,and(n-1) resilience constraints.Then,an improved genetic algorithm is proposed to solve the optimization problem.The simulation results indicate that the proposed planning method can deal with diverse network conditions satisfactorily.Furthermore,it can be applied effectively with high flexibility and scalability.展开更多
针对三相LCL并网逆三电平中点钳位(Neutral Point Clamped,NPC)逆变器中有限集模型预测控制(Finite Control Set-Model Predictive Control,FCS-MPC)计算量大和控制速度慢导致NPC逆变器性能变差的问题,设计了一种快速模型预测控制方法...针对三相LCL并网逆三电平中点钳位(Neutral Point Clamped,NPC)逆变器中有限集模型预测控制(Finite Control Set-Model Predictive Control,FCS-MPC)计算量大和控制速度慢导致NPC逆变器性能变差的问题,设计了一种快速模型预测控制方法。通过改变快速模型预测控制中参考电流电角度控制逆变器输出电流的相位,实现入网电流与电网同步;通过在冗余短矢量中选择合适的短矢量,实现直流侧中点电压平衡,减少计算量;通过缩小计算扇区,使快速模型预测控制仅在当前最优输出电压矢量附近进行寻优计算,进一步减少计算量。在MATLAB/SIMULINK中搭建了三相LCL并网NPC逆变器仿真模型,仿真结果验证了上述控制方法的快速性和可行性,运算速度提高了18.31%,入网电流总谐波失真(Total Harmonic Distortion,THD)值减少了2.38%。展开更多
Based on the characteristic of AC-excited variable speed constant frequency(VSCF)wind power generation,the vector control technique was applied in a doubly fed induction generator(DFIG).Maximum wind energy or maximum ...Based on the characteristic of AC-excited variable speed constant frequency(VSCF)wind power generation,the vector control technique was applied in a doubly fed induction generator(DFIG).Maximum wind energy or maximum output power point can be tracked by decoupling control of active power and reactive power.The research result shows that the net power of generation system delivered to grid in maximum wind energy tracking mode is not the most.We presented a novel maximum power point tracking(MPPT)control strategy by analyzing the DFIG mathematic model and power relations which delivered the maximum power to the grid.The maximum power point could be tracked automatically without measuring wind speed in the control strategy and the control was independent of optimal turbine power curve,which had excellent dynamic and static performances and robustness.Simulation and experimental results testify the accuracy and validity of the control strategy.展开更多
基金Supported by the National Key Research and Development Program of China(2017YFC1502004)Special Project for Forecasters of China Meteorological Administration(CMAYBY2020-162)Special Project for Forecasters of National Meteorological Center(Y202135)。
文摘Quantitative Precipitation Forecast(QPF)is a challenging issue in seamless prediction.QPF faces the following difficulties:(i)single rather than multiple model products are still used;(ii)most QPF methods require long-term training samples not easily available,and(iii)local features are insufficiently reflected.In this work,a multi-model blending(MMB)algorithm with supplemental grid points(SGPs)is experimented to overcome these shortcomings.The MMB algorithm includes three steps:(1)single-model bias-correction,(2)dynamic weight MMB,and(3)light-precipitation elimination.In step 1,quantile mapping(QM)is used and SGPs are configured to expand the sample size.The SGPs are chosen based on similarity of topography,spatial distance,and climatic characteristics of local precipitation.In step 2,the dynamic weight MMB uses the idea of ensemble forecasting:a precipitation process can be forecast if more than 40% of the models predict such a case;moreover,threat score(TS)is used to update the weights of ensemble members.Finally,in step 3,the number of false alarms of light precipitation is reduced,thus alleviating unreasonable expansion of the precipitation area caused by the blending of multiple models.Verification results show that using the MMB algorithm has effectively improved the TS and bias score(BS)for blended 6-h QPF.The rate of increase in TS for heavy rainfall(25-mm threshold)reaches 20%-40%;in particular,the improvement has reached 47.6% for forecast lead time of 24 h,compared with the ECMWF model.Meanwhile,the BS is closer to 1,which is better than any single-model forecast.In sum,the QPF using MMB with SGPs shows great potential to further improve the present operational QPF in China.
基金Project Supported by Natural Science Foundation of CQ CSTC ( 2005BA6021 ).
文摘Based on a lot of measurement and analysis,this paper find that the unbalanced nature of 35 kV grids due to unsymmetrical capacitance values gives difficulty in neutral point operation in mountainous area.Improving compensation of Petersen coil can rectify imbalance of voltage but bring up new problem that Petersen coil can not extinguish grounding arc effectively in fault.To put down contradiction mentioned above,this paper proposes a combination operation for neutral point of 35 kV grids as neutral point insulated in routine operation and grounding through Petersen coil in fault,then EMTP simulation is carried out.Simulation indicates that new neutral operation method can improve lightning withstand level and decrease trip-out rate of grids.
基金supported by the National High Technology Research and Development Program of China(2012AA050801)
文摘In this study,we investigate the optimal location of access points(APs) to connect end nodes with a service provider through power-line communication in smartgrid communication networks.APs are the gateways of power-distribution communication networks,connecting users to control centers.Hence,they are vital for the reliable,safe,and economical operation of a power system.This paper proposes a planning method for AP allocation that takes into consideration economics,reliability,network delay,and(n-1) resilience.First,an optimization model for the AP location is established,which minimizes the cost of installing APs,while satisfying the reliability,network delay,and(n-1) resilience constraints.Then,an improved genetic algorithm is proposed to solve the optimization problem.The simulation results indicate that the proposed planning method can deal with diverse network conditions satisfactorily.Furthermore,it can be applied effectively with high flexibility and scalability.
文摘现有工程运行数据显示,并网变流器(grid-connected converter,GCC)的动态特性与工作点密切相关。受新能源出力波动、负载投切等外部因素的影响,变流器工作点呈现随机时变特性。因此,分析整个工作区间中所有工作点的系统稳定性具有重要意义。传统阻抗/导纳分析方法可以有效分析GCC运行于特定工作点时的稳定性,但考虑系统所有可能工作点时则需重复分析,工作量大且难度较高。为解决这一难题,提出一种考虑工作点变量的多元建模方法。将工作点变量引入导纳模型,通过控制环路重构,建立GCC的多变量单输入单输出(single input single output,SISO)模型。所提模型直接包含工作点变量,因此可以有效分析变流器全工作区间动态特性。此外,综合考虑变流器最大传输限制和动态特性,提出一种基于安全运行域的稳定性分析方法,以实现多维工作区间中系统稳定性的直观表征。仿真和实验验证了所提多变量SISO模型和基于安全运行域的分析方法的正确性。所提模型和方法在分析电力电子装置运行极限、指导变流器设计和辅助功率器件发挥极限性能等工程场景中具有广泛应用潜力。
文摘针对三相LCL并网逆三电平中点钳位(Neutral Point Clamped,NPC)逆变器中有限集模型预测控制(Finite Control Set-Model Predictive Control,FCS-MPC)计算量大和控制速度慢导致NPC逆变器性能变差的问题,设计了一种快速模型预测控制方法。通过改变快速模型预测控制中参考电流电角度控制逆变器输出电流的相位,实现入网电流与电网同步;通过在冗余短矢量中选择合适的短矢量,实现直流侧中点电压平衡,减少计算量;通过缩小计算扇区,使快速模型预测控制仅在当前最优输出电压矢量附近进行寻优计算,进一步减少计算量。在MATLAB/SIMULINK中搭建了三相LCL并网NPC逆变器仿真模型,仿真结果验证了上述控制方法的快速性和可行性,运算速度提高了18.31%,入网电流总谐波失真(Total Harmonic Distortion,THD)值减少了2.38%。
基金Funded by the National Natural Science Foundation of China(No.60974049)the Science and Technology Support Industrial Project of Jiangsu Province(No.BZ2008031,No.BE2008074,and No.BE2009090)+1 种基金the Nantong International Cooperative Project(No.W2009003)the Natural Science Foundation of Nantong University(No.08Z022 and No.08Z025).
文摘Based on the characteristic of AC-excited variable speed constant frequency(VSCF)wind power generation,the vector control technique was applied in a doubly fed induction generator(DFIG).Maximum wind energy or maximum output power point can be tracked by decoupling control of active power and reactive power.The research result shows that the net power of generation system delivered to grid in maximum wind energy tracking mode is not the most.We presented a novel maximum power point tracking(MPPT)control strategy by analyzing the DFIG mathematic model and power relations which delivered the maximum power to the grid.The maximum power point could be tracked automatically without measuring wind speed in the control strategy and the control was independent of optimal turbine power curve,which had excellent dynamic and static performances and robustness.Simulation and experimental results testify the accuracy and validity of the control strategy.