Modeling of Hybrid Power Generation using FLC

In this paper, an effective and efficient power hybrid power generation model is presented in which Maximum power point is tracked by using Fuzzy Logic Controller. The main objective of the proposed approach is to enhance the power capabilities of systems in order to fulfill the increasing load demand. To combat this task, a fuzzy based MPPT technique is implement in power generating system that takes two inputs. Furthermore, two optimization algorithms i.e. chaotic map and Differential Evolution (DE) are hybridized for optimizing the range of variables for two input functions of fuzzy model. The fitness value is calculated in terms of increase in power capabilities. Also, the proposed model utilized two energy sources i.e. Wind energy and solar energy for providing the necessary supply to customers during peak hours. A switching circuitry is also used in the proposed hybrid model for switching between two models when one is not able to generate electricity. The performance of the proposed fuzzy based approach is examined and validated by putting it in comparison with traditional ACO model in terms of their voltage, current and power generation abilities. In addition to this, analytical study is also conducted for wind and solar energy models to determine their abilities for generating power and satisfying load demands.