Fuzzy Decentralized Control for Three-Machine Electric Power Model System

Abstract

In order to maintain the high reliability and security of electric power systems, the problem for stabilizing control is thought to be one of important subjects. Also, for the control of complex large scale nonlinear system like power system, decentralized control is preferable to centralized one. Therefore, the field of decentralized technology is much expected for the future power system.
In this paper, a three-machine power model system is treated as an example, and first a decentralized system is constructed on a basis of the swing datas by looking over the whole system at the largest generator bus. Next, the decentralized system is rewritten into a form of fuzzy system, and the stability theorem is applied to it. Then, feedback gains of the fuzzy control input can be determined under the guarantee of the stability, and the control input is given to the generator. Similarly, for the second generator, the decentralized system is obtained, and so on. Finally, it is shown that the decentralized control is constructed by using swing datas based on three different faults, and is also available for another fault in the simulation.