ISSN: 2319-1112 /V3N1: 36-46 ©IJAEEE Abstract—Application with renewable energy sources such as solar cell array, wind turbines and diesel generator have increased significantly during the past decade. To obtain the clean energy, the hybrid solar–wind power generation is used. Consumers prefer quality of power from suppliers. The quality of power can be measured by using parameters such as volt...

The main asset of this paper is among the uses of fuzzy logic in the engineering sector and especially in the renewable energies as a large alternate of fossil energies, in this paper a PSO-based optimization is used to find the optimal scaling parameters, of a fuzzy logic-based MPPT controller, that maximize the efficiency of a photovoltaic pumping system. The tuning of input and output parame...

Wind energy conversion systems have been attracting wide attention as a renewable energy source due to depleting fossil fuel reserves and environmental concerns as a direct consequence of using fossil fuel and nuclear energy sources. Wind energy, even though abundant, varies continually as wind speed changes throughout the day. The amount of power output from a wind energy conversion system (WE...

This paper presents the design of a fuzzy-logic-based voltage-regulated solar power maximum power point tracking (MPPT) system for applications involving hybrid power systems. The system contains a solar power system and battery as the primary and secondary power sources, respectively. The solar system alone supplies power to the electric motor and maintains the output voltage at a predetermine...

The cell has optimum operating point to be able to get maximum power. To obtain Maximum Power from photovoltaic array, photovoltaic power system usually requires Maximum Power Point Tracking (MPPT) controller. This thesis research work will provides a small power photovoltaic control system based on fuzzy control with FPGA technology design and implementation for MPPT. The proposed maximum powe...

This paper proposes a methodology of designing a Maximum Power Point Tracking (MPPT) controller for photovoltaic systems (PV) using a Fuzzy Gain Scheduling of Proportional-Integral-Derivative (PID) type controller (FGS-PID) with adaptation of scaling factors (SF) for the input signals of FGS. The proposed adaptive FGS-PID method is based on a two-level control system architecture, which combine...

This paper analyses the operation of an adaptive neurofuzzy inference system (ANFIS)-based maximum power point tracking (MPPT) for solar photovoltaic (SPV) energy generation system. The MPPT works on the principle of adjusting the voltage of the SPV modules by changing the duty ratio of the Quasi-zsource inverter. The duty ratio of the inverter is calculated for a given solar irradiance and tem...

Received May 20, 2012 Revised Aug 20, 2012 Accepted Aug 26, 2012 Design and simulation of a simple power electronic interface for gridconnected PV array has been proposed using boost converter and linecommutated inverter with maximum power point tracking (MPPT) controller. The output of PV array varies with irradiation, and hence the duty cycle of the PI controller is adjusted automatically to ...