A Python']Python Tool for Simulation and Optimal Sizing of a Storage Equipped Grid Connected Photovoltaic Power System

被引：2
|
作者：
Belloni, Elisa [1 ]
Lozito, Gabriele Maria [2 ]
Reatti, Alberto [2 ]
机构：
[1] Univ Perugia, Dept Engn, Perugia, Italy
[2] Univ Firenze, Dipartimento Ingn Informaz, Florence, Italy
来源：
2022 IEEE 21ST MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (IEEE MELECON 2022) | 2022年
关键词：
photovoltaic system model; solar energy; !text type='Python']Python[!/text] algorithm; performance evaluation; battery functioning model; PV SOLAR-CELLS; PARAMETERS IDENTIFICATION; HYSTERESIS OPERATOR; MODULES; OPTIMIZATION; MODEL; PERFORMANCE;
D O I：
10.1109/MELECON53508.2022.9843080
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Optimal sizing of a photovoltaics power system equipped with energy storage is of critical importance to maximize the economic revenue and to reduce the early aging of the storage devices. In this work, a simulation model for the evaluation of the electrical behavior of a photovoltaic system, connected to the grid and equipped with a battery storage system, is proposed. The model is implemented in Python, and it is directly connected to the European PVGis portal to use temperature and irradiance profiles from arbitrary locations. The simulation system is coupled with a metaheuristic optimization algorithm to determine the optimal sizing of the power plant, considering as cost function the energy taken from the grid. Optimal parameters such as the number of panels (PV area) and battery's capacity are obtained for several boundary conditions.
引用
收藏
页码：884 / 889
页数：6
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