FREQUENCY NORMALIZATION OF SOLAR PV- THERMAL ELECTRIC POWER SYSTEM BY USING ANFIS CONTROLLERS

Solar photovoltaic (PV) technology has developed rapidly and diversified in recent years. The growth can be attributed predominantly to the sustainability and reliability of energy sources. The solar photovoltaic (PV) thermal electric plant consists of several interconnected units. In a consequence of this, there is a potential of non-linearity in frequency as well as the system parameters of the storage system's reasoning both internal and external load parameters. In order to achieve the finest conceivable results in terms of effectiveness, accuracy, and adaptability, a diverse set of LFC have been designed and proposed. A wide range of significant AI techniques, like fuzzy logic and the adaptive neuro-fuzzy inference system (ANFIS) based frequency controller models, have been identified over the recent developments. This paper present various ANFIS based progressive controller designs in the recent decade.