A new modeling method for nonlinear decentralized robust control of power systems

This paper presents a new modeling method based on physical intuition for nonlinear decentralized robust control of power systems, the key idea of which is to introduce measurable variables (MV) into the mathematical models of controlled objects. To a dynamic element in a large power system, the introduction of MV conceals the external systems and makes the mathematical models of this dynamic element separated from the other parts of the power system. Disturbances from the external systems are reflected in MV. A new nonlinear control method for this kind of new model in a special case is also presented. It can be imagined that the nonlinear controllers designed according to this kind of model including MV will have complete robustness to the disturbances from the external systems and can be implemented decentralizedly. Applying this new modeling method for nonlinear decentralized robust control of power systems to excitation control of synchronous generators, control of SVC and HVDC systems etc. proves that this new modeling method is concise and effective.