Optimal Responses of Home Energy Management Systems to Volt-watt Functions and Forecast Errors

Van Tu Dao, Hideo Ishii, Yasuhiro Hayashi, Y. Takasawa, K. Murakami, Y. Takenobu, H. Kikusato, A. Kaneko, Shinya Yoshizawa

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

Abstract

The popularity of rooftop solar and home-scale batteries brings a fantastic opportunity to homeowners for using energy more flexibly and achieving benefits from trading electricity. This paper narrates a research work of how home energy management systems (HEMSs) maximize profits from buying electricity at a fixed price from utility and selling the surplus energy to an aggregator. Appropriate optimization problems are formulated with technical constraints of household devices and from connection requirements including a volt-watt function installed in the inverter of the rooftop solar-battery system. HEMS responses are optimized in two stages. The first stage is a stochastic program for planning an optimal energy commitment to an aggregator considering forecast errors and the predicted power curtailment. On the day of operation, each HEMS tries to follow the committed energy plan when determining optimal responses in the real-Time condition. Effectiveness of the proposed method is well illustrated through a simulation of a Japanese low-voltage system. Results show that forecast errors and power limitation due to volt-watt functions should be addressed to improve home benefits.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538645055
DOIs
Publication statusPublished - 2018 Dec 10
Event2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 - Sarajevo, Bosnia and Herzegovina
Duration: 2018 Oct 212018 Oct 25

Other

Other2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
CountryBosnia and Herzegovina
CitySarajevo
Period18/10/2118/10/25

Keywords

  • Active power curtailment
  • aggregator
  • battery
  • home energy management system
  • Monte Carlo simulation
  • rooftop solar
  • stochastic programming
  • volt-watt function

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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  • Cite this

    Dao, V. T., Ishii, H., Hayashi, Y., Takasawa, Y., Murakami, K., Takenobu, Y., Kikusato, H., Kaneko, A., & Yoshizawa, S. (2018). Optimal Responses of Home Energy Management Systems to Volt-watt Functions and Forecast Errors. In Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 [8571717] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTEurope.2018.8571717