Fuzzy control for parallel operation of power multi-sources

Abstract

Connection of multiple power sources in the parallel operation is becoming more frequent due to growth of renewable energy sources. The whole systems become strongly non-linear ones due to different nature of the sources and different operation conditions. The operation control of the whole system demands for development of new control methods allowing to model and to simulate easily such non-linear complex systems face to conventional methods. Some discussion on the subject points out to adopt intelligent control methods able of either learning operation conditions or incorporating into the controller knowledge about system parameters and operation. Particularly, Fuzzy Logic has emerged as an appropriate domain to base the development of controllers according to the last approach. So the design of a multivariable controller for this kind of systems should consider aspects like the hierarchical controller structure, the input variables grouping, the existing cross coupling, or the composition method to be adopted. The paper describes two approaches, developed for a special configuration of the input variables, for designing a MIMO fuzzy controller. The parallel operation of energy multi-sources is described to validate the application of fuzzy logic theory as basis for developing a non-linear control method. Global simulation results, for real operating conditions and for the both designed controllers are presented. Comparative results state the relative performance of the two controllers. Experimental results for the two controller types are presented and their relative complexity and performance are discussed.