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A Study of Fuel Cell Scheduling Effect on Local Energy Markets with Heterogeneous Renewable Sources

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  • Borislava Spasova

    (Sony Computer Science Laboratories Inc., 3-14-13 Higashigotanda, Tokyo 141-0022, Japan
    Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa, Kanagawa 252-0882, Japan)

  • Daisuke Kawamoto

    (Sony Computer Science Laboratories Inc., 3-14-13 Higashigotanda, Tokyo 141-0022, Japan)

  • Yoshiyasu Takefuji

    (Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa, Kanagawa 252-0882, Japan)

Abstract

The study presented in this paper aims to show the impact of introducing a priority-based internal power flow management system on the local energy market of prosumers with solar panels, fuels cells and batteries. The community used for the study is based on the Open Energy Systems (OES), in which 19 autonomous subsystems, equipped with batteries, solar panels and AC grid connection are interconnected via a DC power bus. For the simulation purposes, fuel cell, modeled after Ene-Farm, is added to the original configuration. Each standalone system has internal, priority-based, agent, capable of scheduling the operating hours of the fuels cell to maximize the utilization of the generation and minimize curtailment. The energy market is based on a simplified version of the Zaraba, a continuous double auction algorithm used by the Japanese Stock Exchange, in which prosumer can submit a bid for a future timeslot. The preliminary numerical evaluation is based on the results from several simulations using different versions of the internal management system.

Suggested Citation

  • Borislava Spasova & Daisuke Kawamoto & Yoshiyasu Takefuji, 2019. "A Study of Fuel Cell Scheduling Effect on Local Energy Markets with Heterogeneous Renewable Sources," Energies, MDPI, vol. 12(5), pages 1-14, March.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:854-:d:211000
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    References listed on IDEAS

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    1. Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2010. "A multi-agent system for energy management of distributed power sources," Renewable Energy, Elsevier, vol. 35(1), pages 174-182.
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    1. Khlid Ben Hamad & Doudou N. Luta & Atanda K. Raji, 2021. "A Grid-Tied Fuel Cell Multilevel Inverter with Low Harmonic Distortions," Energies, MDPI, vol. 14(3), pages 1-24, January.

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