With increasing the number of wind power generators,the consumption time of electromagnetic simulation of the wind farm explodes.To reduce the simulation time while meeting the accuracy requirement,a genetic clusterin...With increasing the number of wind power generators,the consumption time of electromagnetic simulation of the wind farm explodes.To reduce the simulation time while meeting the accuracy requirement,a genetic clustering-based equivalent model is proposed for the wind farm with numerous doubly fed induction generators.In the proposed model,active power together with the reactive power and the wind speed are selected to form the set of clustering indicators.A normalization technique is utilized to cope with the multiple orders of magnitude in these factors.An exponential fitness value is formulated as a function of the sorting number of the primary fitness value,and the fitness-based selection probability is constructed to overcome the property of premature and slow convergence of the genetic clustering algorithm.The sum of squares due to error is used to determine the optimal clustering number.In addition,a decoupled parameter equivalence method is adopted to obtain the equivalent parameters of the collection network.Simulation results and comparisons with various methods under different voltage scenarios show the feasibility and effectiveness of the proposed model.展开更多
Electric locomotives on the horizon will integrate SiC inverters,promising quicker switching and lower losses than traditional setups.However,in addition to the steep rising edge,the inverter-fed motor drive system fa...Electric locomotives on the horizon will integrate SiC inverters,promising quicker switching and lower losses than traditional setups.However,in addition to the steep rising edge,the inverter-fed motor drive system faces challenges such as high common-mode voltage(CMV)and high motor terminal surge voltage swing rate(dv/dt).To tackle these hurdles,this paper proposes a novel tailored traction control system for three-phase locomotive motors.This innovative strategy utilises nearstate space vector pulse width modulation(NSVPWM),selectively removing space vectors with high CMV to generate modulation signals.Complemented by a slew rate capacitor configuration,the aim is to reduce CMV while effectively suppressing motor-side voltage slew rate.To validate this approach,experimental waveforms from on-site inverter-fed motor drive systems have been analysed to derive high-frequency parameters of long-line cables and variable frequency motors to mimic real locomotive operating conditions better.Through experimental research and comparative simulations against traditional methods,this study reveals a significant 33.3%reduction in CMV compared to traditional systems.Furthermore,it achieves an impressive decrease in the rise/fall slope,down to 86.6%,while ensuring nearly zero electrical power consumption.展开更多
基金the National Key R&D Program of China(No.2019YFE0114700)the Key R&D Program in Hunan Province of China(No.2021GK2020)+1 种基金the Natural Science Foundation of Hunan Province of China(No.2021JJ30079)the Project of Philosophy and Social Science Research in Yiyang City(No.2022YS191)。
文摘With increasing the number of wind power generators,the consumption time of electromagnetic simulation of the wind farm explodes.To reduce the simulation time while meeting the accuracy requirement,a genetic clustering-based equivalent model is proposed for the wind farm with numerous doubly fed induction generators.In the proposed model,active power together with the reactive power and the wind speed are selected to form the set of clustering indicators.A normalization technique is utilized to cope with the multiple orders of magnitude in these factors.An exponential fitness value is formulated as a function of the sorting number of the primary fitness value,and the fitness-based selection probability is constructed to overcome the property of premature and slow convergence of the genetic clustering algorithm.The sum of squares due to error is used to determine the optimal clustering number.In addition,a decoupled parameter equivalence method is adopted to obtain the equivalent parameters of the collection network.Simulation results and comparisons with various methods under different voltage scenarios show the feasibility and effectiveness of the proposed model.
文摘Electric locomotives on the horizon will integrate SiC inverters,promising quicker switching and lower losses than traditional setups.However,in addition to the steep rising edge,the inverter-fed motor drive system faces challenges such as high common-mode voltage(CMV)and high motor terminal surge voltage swing rate(dv/dt).To tackle these hurdles,this paper proposes a novel tailored traction control system for three-phase locomotive motors.This innovative strategy utilises nearstate space vector pulse width modulation(NSVPWM),selectively removing space vectors with high CMV to generate modulation signals.Complemented by a slew rate capacitor configuration,the aim is to reduce CMV while effectively suppressing motor-side voltage slew rate.To validate this approach,experimental waveforms from on-site inverter-fed motor drive systems have been analysed to derive high-frequency parameters of long-line cables and variable frequency motors to mimic real locomotive operating conditions better.Through experimental research and comparative simulations against traditional methods,this study reveals a significant 33.3%reduction in CMV compared to traditional systems.Furthermore,it achieves an impressive decrease in the rise/fall slope,down to 86.6%,while ensuring nearly zero electrical power consumption.
