Research On An Intelligent Harmonic Detection And A Novel Control Strategy In Active Power Filter

With the development of contemporary electrical technology, the pollution of power system such as harmonic waves and reactive powers are becoming increasingly severe. These problems are threatening the safety of the user's facilities and have aroused much concern of the related people. Active power filter is an effective method of eliminating the harmonic wave. It already has many applies in the developed countries and its basic theory has grew matured. Despite of these, the available techniques in this field still have their own disadvantages, so many researchers commit themselves to improve the performance of APF and have done a great contribution.Based on above development status, this paper mainly deals with the harmonic wave detection and the control strategy of the inverter in the APF. This essay adopted an intelligent harmonic wave detection arithmetic and proposed a novel control strategy of the compensating current generation. These strategies are proven to be effective and beneficial.In the field of harmonic wave detection, the arithmetic based on Hopfield neural network is adopted to detect the harmonic wave according to the theory proposed by the former researcher. A program is written to realize the arithmetic and the result prove the theory to be valid.In the control of the generation of the compensation current, I proposed the inverse model control theory. Since the inverse model of the inverter can not be easily as well as accurately obtained, BP neural network is introduced to approach the inverse model. After the training of the neural network, we can connect it with the inverter to get a nearly ideal linear system. Various simulations are done under different conditions to prove this method to be effective. Finally an active power filter system is simulated, the result proved to be favorable.