Abstract

In order to realize effective noise reduction of wind power under the influence of complex power quality disturbance(PQD), an application fusion method of improved smoothing and noise reduction strategy and start-stop energy storage element is proposed in this paper. Firstly, the complex power quality disturbance is filtered and de-noised based on Wiener filtering(WF) algorithm to obtain stable disturbance output. Then, a filtering self-built library(FSBL) is established to perform parallel operations of multiple filtering algorithms and obtain the optimal output power according to the constraints of time scale. After that, a hybrid energy storage system(HESS) with start-stop standby energy storage element is proposed. According to the maximum entropy difference drop point and permutation entropy test, the start-stop instructions of standby energy storage elements can be achieved. Finally, the state of charge(SOC) is optimized according to fuzzy control constraints. In order to verify the effectiveness of the proposed method, this paper constructs the wind power output based on the hardware experimental platform. The power quality disturbance database is further constructed to verify and analyze power quality disturbance types from simple to complex. The results show that the proposed method is reliable. And the hybrid energy storage system with start-stop standby energy storage elements can be widely used in many fields and scenarios.

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