Grid Variables Synchronization using Optimization Algorithm for Distributed Generation System under Grid Fault Conditions
Author(s) -
Alwin Vinifred Christopher,
R. Ramesh,
Prem Prakash
Publication year - 2020
Publication title -
international journal of recent technology and engineering (ijrte)
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6024.018520
Subject(s) - photovoltaic system , computer science , grid , cuckoo search , particle swarm optimization , synchronization (alternating current) , renewable energy , distributed generation , pid controller , controller (irrigation) , algorithm , control engineering , engineering , electrical engineering , mathematics , computer network , channel (broadcasting) , geometry , temperature control , agronomy , biology
Power system has electrical energy as the vital part the energy can be acquired from the sustainable and non-sustainable sources like solar, wind, biomass, water, and coal, nuclear, oil, thermal respectively. In past the synchronization is the real issue because of the time utilization for the estimation of grid variables. In this work the solar based distributed generator is considered for the analysis. The grid connected photovoltaic framework, the grid can expend the energy from the photovoltaic panel and distribute the energy when the dark condition. The grid and PV framework can go about as a distributed energy sources. In this paper the grid associated PV system with the novel PR controllers are proposed to provide quick synchronization process and the hybrid swarm cuckoo search optimization algorithms (HSCS) is used to pick the best parameter to generate control pulses. The demonstration is done under the SIMULINK model. The performance PI,PID and Proportional Resonant (PR) controller with cuckoo search optimization algorithm are analyzed separately and found better solution for the problem stated.
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