Multi-objective optimisation of a grid-connected hybrid PV-battery system considering battery degradation

被引:7
作者
Tikkiwal, Vinay Anand [1 ]
Singh, Sajai Vir [1 ]
Gupta, Hari Om [1 ]
机构
[1] Jaypee Inst Informat Technol, Dept Elect & Commun Engn, Noida, UP, India
关键词
Solar energy; photovoltaic systems; optimisation; cuckoo search; Grey Wolf optimisation; RENEWABLE ENERGY SYSTEM; POWER-SYSTEMS; CUCKOO SEARCH; WIND; RELIABILITY;
D O I
10.1080/19397038.2021.1982064
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Variable nature of solar energy leads to inconsistent performance of photovoltaic systems. Integration of photovoltaic systems with storage and grid mitigates variability issues and helps maximise self-consumption. This work presents a design methodology for a grid-connected photovoltaic system integrated with storage to meet an annual hourly average demand of 135 kWh of an establishment situated in northern India which receives a daily average solar insolation of 5.16 kWh/m(2). System design has been carried out to meet the energy demand at minimised annualised cost. The annualised cost of the optimised system has been found to be US$115184.20/year. Analysis shows that the proposed model results in reduction in annualised cost by 32.27% and a net reduction in emissions by 610 MT as compared with the traditional grid power. Furthermore, multi-objective optimisation carried out to explore system design trade-offs between annualised cost, peak to average ratio of grid energy, and emissions, indicates that overall reduction in emissions by 15% could be obtained at 6.5% increased cost. It is also observed that reduction in grid-outages by 25% leads to reduction in AC by as high as 42.4%.
引用
收藏
页码:1769 / 1779
页数:11
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