Determination method of optimal planning and operation for residential PV system and storage battery based on weather forecast

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper proposes a computation method to determine a optimal planning and operation of residential Photovoltaic Power Generation systems (PV systems) and Battery Energy Storage Systems (BESS) based on the weather forecast to each customer. In this proposed method, the optimal planning and operation are decided by changing the amount of charge in the BESS in midnight when the electric rate is cheap. This proposed method can determine the optimal planning (determination of optimal rating capacities of PV and BESS) and the optimal operation (determination of three values of the amount of charge at midnight on sunny day, cloudy day and rainy day) so as to minimize the annual cost of the household. In order to check the effectiveness of the proposed method, the optimal planning and the operation are compared on the data of two years.

Original languageEnglish
Title of host publicationPECon 2012 - 2012 IEEE International Conference on Power and Energy
Pages343-347
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE International Conference on Power and Energy, PECon 2012 - Kota Kinabalu, Malaysia
Duration: 2012 Dec 22012 Dec 5

Publication series

NamePECon 2012 - 2012 IEEE International Conference on Power and Energy

Conference

Conference2012 IEEE International Conference on Power and Energy, PECon 2012
CountryMalaysia
CityKota Kinabalu
Period12/12/212/12/5

Keywords

  • Battery energy storage system
  • Home energy management system
  • Photovoltaic power generation system
  • Weather forecast

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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  • Cite this

    Suzuki, R., Hayashi, Y., & Fujimoto, Y. (2012). Determination method of optimal planning and operation for residential PV system and storage battery based on weather forecast. In PECon 2012 - 2012 IEEE International Conference on Power and Energy (pp. 343-347). [6450235] (PECon 2012 - 2012 IEEE International Conference on Power and Energy). https://doi.org/10.1109/PECon.2012.6450235