Abstract
Renewable energy resources such as photovoltaic (PV) are crucial to counter an incoming energy crisis in the future. Nevertheless, when PV generators are integrated with storage batteries, a constructive mechanism needs to be structured in order to securely control the energy flow in the batteries during the charging/discharging process so that the risk of over-charge/over-discharge of the batteries can be prevented. Furthermore, it is extremely essential to implement a control method that is capable to fully utilize a stored energy in the scope of small-scale BESS to the load regularly in the first place before it is further scaled up to a mega-structure. In this study, an energy control scheme that considers and executes a next-day forecast of generation based on Grid Point Value as an input data has been proposed. Experimental equipment was structured and the system’s operation was completely administered by an RX621 microcontroller. Good experimental results were obtained corresponding to the trend of simulation results.
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Jou, H.-L., Chang, Y.-H., Wu, J.-C., Wu, K.-D.: Operation strategy for a lab-scale grid-connected photovoltaic generation system integrated with battery energy storage. Sci. Direct Energy Convers. Manage. 89, 197–204 (2015). doi:10.1016/j.enconman.2014.09.069
Shah, A.S.M., Ishikawa, I., Odakura, S., Kakimoto, N.: Numerical model of energy control for lithium-ion batteries based on PV system. Int. J. SIM. Syst. Sci. Technol. 15(6), 67–74 (2014). doi:10.5013/IJSSST.a.15.06.07
Han, J., Choi, C.-S., Lee, I., Kim, S.-H.: Smart home energy management system including renewable energy based on ZigBee and PLC. IEEE Trans. Consum. Electron. 60(2), 198–202 (2014). doi:10.1109/TCE.2014.6851994
Shah, A.S.B.M., Yokohama, H., Kakimoto, N.: High-precision forecasting model of solar irradiance based on grid point value data analysis for an efficient photovoltaic system. IEEE Trans. Sustain. Energy 6(2), 474–481 (2015). doi:10.1109/TSTE.2014.2383398
Kakimoto, N., Matsumura, S., Kobayashi, K., Shoji, M.: Two-state Markov model of solar radiation and consideration on storage size. IEEE Trans. Sustain. Energy 5(1), 171–181 (2014). doi:10.1109/TSTE.2013.2278547
Japan Meteorological Agency. Index of weather data based on grid point value numerical prediction. http://database.rish.kyoto-u.ac.jp/arch/jmadata/data/gpv/original/ (2015). Accessed 2 Feb 2015
Hitachi City Hall (Weather division). Index of observed weather database for Hitachi (Japanese). http://www.jsdi.or.jp/~hctenso/ (2015). Accessed 3 Mar 2015
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Shah, A.S.M., Ishikawa, Y., Takahashi, H., Odakura, S., Kakimoto, N. (2017). Full Utilization Control of Stored Energy in Lithium-Ion Batteries Based on Forecasted PV Output for HEMS. In: Oral, A., Bahsi Oral, Z. (eds) 3rd International Congress on Energy Efficiency and Energy Related Materials (ENEFM2015). Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-45677-5_11
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DOI: https://doi.org/10.1007/978-3-319-45677-5_11
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