Research on Microgrid Frequency Adaptive Control Method Based on Improved Particle Filtering
The current microgrid frequency adaptive control method cannot accurately find the internal frequency command of the system,which leads to a large deviation value of the control frequency.To address this problem,a microgrid frequency adaptive control method based on improved particle filtering is proposed.According to the structure of the microgrid system,the node inverters and multi-source loads are modeled separately.The homotopy function is used to fit the system sub-model and construct the equivalent model of the microgrid system.The improved particle filtering algorithm is introduced to extract the high-frequency components in the original frequency time series and combined with the particle normalized weights to compute the internal frequency scheduling function of the system,so as to obtain accurate frequency commands to complete the initial power allocation.The principle of fuzzy logic is used to design the frequency adaptive controller to realize the adaptive control of the microgrid frequency.The microgrid system containing distributed power is tested as a simulation case.The experimental results show that the frequency fluctuation of the system is controlled using the proposed method,and the obtained control frequency deviation value is always below 0.05.The research realizes the microgrid frequency self-adaptation with low control frequency deviation value and good overall control effect.
New energyMicrogridImproved particle filteringFrequency fluctuationAdaptive controlPower dispatch commandFrequency allocation
NETL
NSTL
万方数据
