The Control Of Stacom Based On Neural Network

Today power supply network has been affiliated an unitive network all over the country. Keeping the power supply network security, stabilization and run well become a technically problem which limit the development of electric power industry and reduce its behalf.Because of it is well in voltage regulation, Static Synchronous Compensator has been paid more and more attention. In this paper, we bring forward a new control method on the base of the analysis of its mathematics matrix.At first, through analysis of the system performance and the mathematics matrix of STATCOM, we introduced the voltage of the point where STATCOM jointed in the system as state variable.Second, the conventional linear optimal control can make system stabilize at neighborhood of balance point only. In this paper, we introduced a method of control by Artificial Neural Network. And also, identified variable on line. This method enhanced the adaptability of the control.Third, we gain the angle of the flute by Artificial Neural Network which needed in come into being PWM wave by the theory of harmonious restrain. In this way, we avoid the difficulty of resolve unlinear equation and also save a lot of time. This made the method can be used on line.At last, to prove its validity, this paper also simulated the methods above by MTALAB.