Power Quality Analysis in Hybrid Power Generation For Modified Current Fed Switched DC-DC Converter Using Intelligent Controller

Abstract

Renewable power propagation is desirable for off-grid services and processing remote areas without causing construction of an expensive and elaborated grid substructure. A Microgrid power system involves stability for the sources, it should be controllable too. Since the reliability of the system depends on the stability of energy generating units. This paper provides a detailed analysis and discussion of the different controller based hybrid power generations for a Microgrid application. Here, the altered current fed DC-DC switched converter is designed for achieving both maximum and minimum power generation from distributed energy resources. Propagated power generation systems consider such as a photovoltaic (PV) array, wind turbine, and fuel cell which predict with significant renewable energy technologies. The integration of microgrid with the distributed generation (DG) provides several advantages like high efficiency in power supply, reliability, security, minimum power loss and setting back the enlargement infrastructure. A modified topology of Cuk and boost based power conversion is also developed and controlled by using various kinds of maximum power point tracking (MPPT) schemes. This control is also known as distributed MPPT and consists of process like P&O, Fuzzy Logic Control (FLC), Artificial Neural Network (ANN) and Adaptive Neural Fuzzy Interference System (ANFIS) for attaining maximum energy generation. The output voltage and current regulation of inverter ar