Microgrid Frequency Control Based on Genetic and Fuzzy logic Hybrid optimization
Power system frequency is an important performance index of AC microgrid operation.The power quality and user load.and even the safe and stable operation of microgrid,are affected directly by the frequency.Most modem microgrid contains a large number of intermittent renewable energy generation.this generation units have small capacity,many quantity,larger environmental and user load disturbance,strong nonlinear and unpredictable.The traditional control theory is difficult to effectively solve the problem of the microgrid frequency control.A new combination intelligent control method is presented.Two stage combinatorial optimization techniques of genetic algorithm and fuzzy logic is used.First,genetic algorithm is used to optimize the input and output fuzzy triangular membership function parameters.Second,fuzzy logic is used to optimize PI controller parameter to achieve the optimal control of the microgrid system frequency.The effectiveness of the two stage combination intelligent control algorithm is validated by.
frequency control intelligent control
SU Hai-bin CHANG Hai-song CAO Yi-xiao
North China University of Water Resources and Electric Power,Zhengzhou,China
国内会议
南京
英文
1-8
2016-11-15（万方平台首次上网日期，不代表论文的发表时间）