程亚丽,王致杰,刘三明,江秀臣,盛戈皞.基于改进TLBO优化LSSVM的风电功率短期预测[J].电测与仪表,2019,56(13):81-85. chengyali,王致杰,刘三明,江秀臣,盛戈皞.Short-term prediction of wind power based on improved TLBO optimization LSSVM[J].Electrical Measurement & Instrumentation,2019,56(13):81-85.
基于改进TLBO优化LSSVM的风电功率短期预测
Short-term prediction of wind power based on improved TLBO optimization LSSVM
In order to improve the accuracy of short-term forecasting of wind power, a short-term forecasting method based on improved TLBO optimization LSSVM is proposed. Firstly, to improve TLBO algorithm of "teach" stage, the adaptive teaching factor is used, at the same time, changing average of all search individuals, which can enhance the performance of TLBO in the whole search space; Then, the 'learning' stage of TLBO algorithm is improved to maintain the diversity of the population and avoid the premature convergence and local optimization of TLBO algorithm, and the gaussian mutation operator is introduced in the learning stage. Finally, the improved LSSVM prediction model is optimized with improved TLBO. Take the measured data of beiyan wind farm in Shanghai as an example, the simulation results show that with the PSO and TLBO compared to optimizing LSSVM, improved TLBO optimizing LSSVM method for short-term wind power prediction has better stability and higher accuracy
