Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18288
Title: Energy management and modeling of a gridconnected BIPV system with battery energy storage
Authors: Argyrou, Maria C. 
Spanias, Chrysovalantis 
Marouchos, Christos 
Kalogirou, Soteris A. 
Christodoulides, Paul 
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Keywords: Photovoltaics;Energy storage;Bidirectional converter;Modeling;Control;Energy management
Issue Date: 7-Nov-2019
Source: 54th International Universities Power Engineering Conference, 2019, 3-6 September, Bucharest, Romania
Conference: 54th International Universities Power Engineering Conference 
Abstract: The increased penetration of renewables in power system generation has introduced several stability issues to existing power systems. Their intermittent nature in combination with the lack of rotational inertia made system operation even more difficult and frequency/voltage fluctuations larger. Storage systems have been identified as an ideal solution for mitigating these problems since their integration across the grid can reduce generation-load imbalances and assist in primary frequency regulation. Considering the importance storage systems have gained during the last years, in this paper we propose an energy management algorithm for a grid-connected PV system with battery storage. This model contains a Building Integrated Photovoltaic (BIPV) system connected to the grid through a DCDC boost converter, a DC-AC inverter and a battery storage system in active parallel configuration. Considering that the consumption of the building is satisfied from either the PV, the low voltage grid and/or the battery storage system, a specific energy management algorithm is presented for this model, in order to provide an efficient power flow between the aforementioned sources and the building load. The proposed model is implemented and verified through several simulations in Matlab/Simulink.
URI: https://hdl.handle.net/20.500.14279/18288
ISBN: 978-1-7281-3349-2
DOI: 10.1109/UPEC.2019.8893495
Rights: © IEEE 2019
Type: Conference Papers
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

SCOPUSTM   
Citations 50

7
checked on Nov 6, 2023

Page view(s) 50

444
Last Week
2
Last month
25
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.