کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7936236 | 1513060 | 2017 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Impacts of a forecast-based operation strategy for grid-connected PV storage systems on profitability and the energy system
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Impacts of a forecast-based operation strategy for grid-connected PV storage systems on profitability and the energy system Impacts of a forecast-based operation strategy for grid-connected PV storage systems on profitability and the energy system](/preview/png/7936236.png)
چکیده انگلیسی
Integrating photovoltaic (PV) produced electricity into the electric power system is proving to be a growing challenge due to its fluctuating nature. The combination of more rigid regulation for feed-in of PV production and steadily rising electricity prices means that battery systems are becoming more attractive to private households as a way of upping their self-consumption. At the same time, batteries make the household's electricity purchasing strategy more complex. For these reasons, control concepts are required for PVâ¯+â¯battery systems that ensure grid-friendly operation as well as considering the household's primary objectives. This paper presents a forecast-based modelling approach for the operation of a battery in combination with a grid-connected PV system. PV production and electricity demand are forecasted on an hourly time-resolution using artificial neural networks (ANN). The battery charging and discharging is optimized to maximize self-consumption, and additionally a variable feed-in tariff is considered to incentivize a grid-friendly operation. The developed model was applied for a household with 3300â¯kWh electricity consumption equipped with a 5â¯kWp PV system and a 5â¯kWh battery. For this case, we show that the model enables a grid-friendly operation of the battery as well as an intensified usage. However, the inevitable forecasting errors lead to overall lower economic benefits for the consumer in comparison with a simple strategy that only maximizes self-consumption. Considering the inaccuracy of forecasting, we conclude that if a grid-friendly integration of PVâ¯+â¯battery systems is to be promoted in the future, households should be provided with better forecasting data or offered other incentives to compensate their lost benefits.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Solar Energy - Volume 158, December 2017, Pages 861-868
Journal: Solar Energy - Volume 158, December 2017, Pages 861-868
نویسندگان
Anna-Lena Klingler, Lukas Teichtmann,