人民黄河
人民黃河
인민황하
Yellow River
2014年
2期
121-123
,共3页
水轮发电机组%参数辨识%生物地理学优化%柯西变异
水輪髮電機組%參數辨識%生物地理學優化%柯西變異
수륜발전궤조%삼수변식%생물지이학우화%가서변이
hydro-generating unit%parameters identification%biogeography-based optimization%cauchy mutation
在生物地理学优化算法中引入非线性物种迁移模型，采用柯西变异避免算法陷入局部收敛，提出了改进的生物地理学算法IBBO。将IBBO应用于水轮机组系统的参数辨识，结果表明：与BBO算法相比，IBBO算法对复杂水轮机组系统的参数辨识效果更好，在转速扰动下系统的调节时间较短、超调量小，过渡过程性能优良；在负荷扰动下系统的转速上升最大值较小、调节时间短。
在生物地理學優化算法中引入非線性物種遷移模型，採用柯西變異避免算法陷入跼部收斂，提齣瞭改進的生物地理學算法IBBO。將IBBO應用于水輪機組繫統的參數辨識，結果錶明：與BBO算法相比，IBBO算法對複雜水輪機組繫統的參數辨識效果更好，在轉速擾動下繫統的調節時間較短、超調量小，過渡過程性能優良；在負荷擾動下繫統的轉速上升最大值較小、調節時間短。
재생물지이학우화산법중인입비선성물충천이모형，채용가서변이피면산법함입국부수렴，제출료개진적생물지이학산법IBBO。장IBBO응용우수륜궤조계통적삼수변식，결과표명：여BBO산법상비，IBBO산법대복잡수륜궤조계통적삼수변식효과경호，재전속우동하계통적조절시간교단、초조량소，과도과정성능우량；재부하우동하계통적전속상승최대치교소、조절시간단。
The nonlinear migration model was introduced to biogeography-based optimization (BBO)algorithm,the cauchy mutation was employed to avoid local optima,and the improved BBO (IBBO)algorithm was proposed. The IBBO was applied in the parameters identification of hydro-gen-erating unit. The simulation results show that the IBBO can get good identification parameters of the complicated hydraulic turbine system comparing the standard BBO algorithm. Under the speed disturbance,the system regulation have shorter time and smaller overshoot,the transition process per-formance is excellent;Under the load disturbance,the maximum speed rise of the system is small and the adjustment time is short.
