Neural Network Inverse System-wide Coordination Of Power System Control

The stability of power system is a very important problem in its operating processing. The main means of improving stability of power system is by controlling.By combining the idea of inverse system and ANN ath-order inverse system, the optimal control theory and the strategy of decentralized and coordinated control, this paper studies the stability control of one machine and multi-machine power system.In this paper the method of inverse system and ath-order inverse system are introduced, then it studies the application of the method of inverse system and supervised neural controller in the excitation controlling of one machine infinite bus power system. After introducing the method of ANN a th-order inverse system it studies its application in the excitation controlling of one machine system. At last as t the emphasis of this paper, combining the theory of multi-machine decentralized and coordinated control, the method of ANN ath-order inverse system is studied how to be used in the excitation control of multi-machine power system. The multi-machine power system decentralized and coordinated controller is designed and which was based on the method of ANN a th-order inverse system.The simulation results show that: neural ath-order inverse system control method have good adaptability to the running point and network structure's transformation, improve the stability of power system greatly and have good control performance when it was applied to the stability control of power system. At the same time it has a simple control structure and can linearize the system even it is unnecessary to know mathematical models and actual parameters of original system.