@inproceedings{e7a0fba9b619415fa4ad303108ce20b6,
title = "Multi-objective optimization of solar PV and battery storage system for a grid-connected household",
abstract = "This paper presents a multi-objective optimal sizing of battery storage system (BSS) and rooftop solar photovoltaic (PV) for a grid-connected household. The objective functions are selected as cost of electricity (COE) and grid dependency (GD). COE is the sum of annual cost over total electricity usage in a year. GD is the ratio of annual purchased electricity from the main grid over the yearly electricity demand of the house. The main aim of this study is to render insights for the electricity consumers to select the optimal capacity of PV and BSS by a compromise between cost and dependency on the grid. The non-dominated sorting genetic algorithm II (NSGA-II) is conducted to solve the multi-objective problem. A grid-connected home in Australia is studied by incorporating actual data of weather and electricity consumption. It is found that by decreasing the GD, the COE increases and vice versa. The minimum COE in the system results in a GD of 0.57 p.u. To verify the optimization with NSGA-II, the obtained results are compared with those of multi-objective particle swarm algorithm.",
keywords = "Battery storage, Cost of electricity, Grid dependency, Grid-connected household, Multi-objective optimal sizing, Renewable energy",
author = "Rahmat Khezri and Amin Mahmoudi and Hirohisa Aki",
year = "2020",
month = dec,
day = "16",
doi = "10.1109/PEDES49360.2020.9379481",
language = "English",
series = "9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020",
address = "United States",
note = "9th IEEE International Conference on Power Electronics, Drives and Energy Systems , PEDES 2020 ; Conference date: 16-12-2020 Through 19-12-2020",
}
