文章基本信息

标题：Multi-objective optimisation of a grid-connected hybrid PV-battery system considering battery degradation
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作者：Vinay Anand Tikkiwal ; Sajai Vir Singh ; Hari Om Gupta 等
期刊名称：International Journal of Sustainable Engineering
印刷版ISSN：1939-7038
出版年度：2021
卷号：14
期号：6
页码：1769-1779
DOI：10.1080/19397038.2021.1982064
语种：English
出版社：Taylor & Francis Group
摘要：ABSTRACTVariable 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/m2. 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%.
关键词：KEYWORDSSolar energyphotovoltaic systemsoptimisationcuckoo searchGrey Wolf optimisation