Open AccessPower Management Strategy in PV-Wind Hybrid System with Cuckoo Search
Author(s) -
Kundeti Krishna Rao Ch. Prem Prakash
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst060723
Subject(s) - maximum power point tracking , cuckoo search , photovoltaic system , wind power , smart grid , computer science , renewable energy , hybrid power , power electronics , automotive engineering , grid connected photovoltaic power system , distributed generation , harmonics , engineering , electrical engineering , power (physics) , inverter , voltage , particle swarm optimization , physics , quantum mechanics , machine learning
The main theme of this paper is to propose a Cuckoo MPPT technique for Hybrid PV-Wind Smart gridsystem. Generally, Smart grid is an electrical grid which includes a variety of operation and energy measuresincluding smart appliances, renewable energy resources, and energy efficient resources. Electronic powerconditioning and control of the production and distribution of electricity are important aspects of the smartgrid. In order to get maximum output from a PV and wind energy system, an extensive research has beenunderway for long time so as to access the performance of hybrid system. This paper presents PV- windhybrid system along with maximum power point tracking control algorithms, power electronics converters tocontrol the system, filters to reduce the harmonics from the converters. The proposed model and its controlstrategy offer a proper tool for smart grid performance optimization. The proposed hybrid system isexperimentally verified in Matlab/Simulink.