Open AccessAn Optimal Energy Management System for PV/Battery Standalone System
Author(s) -
Vellanki Mehar Jyothi,
T. Vijay Muni,
S. V. N. L. Lalitha
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i6.pp2538-2544
Subject(s) - photovoltaic system , battery (electricity) , maximum power point tracking , computer science , automotive engineering , matlab , energy management , inverter , power (physics) , energy management system , maximum power principle , point (geometry) , synchronization (alternating current) , energy (signal processing) , control theory (sociology) , electrical engineering , voltage , engineering , control (management) , telecommunications , mathematics , operating system , quantum mechanics , statistics , physics , channel (broadcasting) , artificial intelligence , geometry
This paper presents an optimal energy management for PV/battery stand-alone system. The system comprises photovoltaic array, battery, inverter and AC loads. PV array is an uncontrollable source due to the variations in irradiations and temperature. To deliver the highest point to the load a maximum power point tracking technique is used. In synchronization with battery bank the system becomes controllable. Modes of operation of the system are defined by the battery bank. Modes of operation are based on the difference between supply and load demand. This paper project proposes an optimal energy management strategy to improve the performance of the PV system. The anticipated system performance is evaluated for varying loads in MATLAB/simulink.