光伏系统
电
环境经济学
现金流
发电成本
网格
按来源划分的电力成本
独立电源系统
储能
光伏并网发电系统
贴现现金流
电力市场
计算机科学
环境科学
光伏
发电
业务
工程类
经济
分布式发电
电气工程
可再生能源
财务
最大功率点跟踪
数学
电压
物理
功率(物理)
量子力学
逆变器
几何学
作者
Rahmat Khezri,Amin Mahmoudi,M.H. Haque
出处
期刊:IEEE Transactions on Industry Applications
[Institute of Electrical and Electronics Engineers]
日期:2020-09-01
卷期号:56 (5): 5319-5329
被引量:95
标识
DOI:10.1109/tia.2020.2998668
摘要
This article determines the optimal capacity of solar photovoltaic (PV) and battery energy storage (BES) for grid-connected households to minimize the net present cost of electricity. The real-time rule-based home energy management systems using actual annual data of solar insolation, ambient temperature, household electricity consumption, and electricity rates are used in the optimization process. The above-mentioned technique is applied to two system configurations-household with a solar PV and a BES. The uncertainty analysis is implemented using ten years of real data to confirm the optimal results. An accurate cash flow analysis is also presented to illustrate the customer payment in each year during the project lifetime. The sensitivity analysis is conducted by varying the cost and capacity of system components, grid constraint, average daily electricity demand, and retail price of electricity. A typical grid-connected household in South Australia is considered as the case study. A practical guideline is presented for the residential consumers in South Australia to select the optimal PV/BES based on their daily average electricity demand and the available rooftop space for PV installation. Finally, the proposed optimization method is applied to households of other Australian States and a comparison of results is presented.
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