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Optimal household energy management and economic analysis: from sizing to operation scheduling

Author

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  • T.T. Ha Pham

    (G2ELab - Laboratoire de Génie Electrique de Grenoble - UJF - Université Joseph Fourier - Grenoble 1 - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INPG - Institut National Polytechnique de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • Cédric Clastres

    (LEPII-EDDEN - équipe EDDEN - LEPII - Laboratoire d'Economie de la Production et de l'Intégration Internationale - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique)

  • F. Wurtz

    (G2ELab - Laboratoire de Génie Electrique de Grenoble - UJF - Université Joseph Fourier - Grenoble 1 - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INPG - Institut National Polytechnique de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • S. Bacha

    (G2ELab - Laboratoire de Génie Electrique de Grenoble - UJF - Université Joseph Fourier - Grenoble 1 - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INPG - Institut National Polytechnique de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • Éric Zamaï

    (G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - UJF - Université Joseph Fourier - Grenoble 1 - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INPG - Institut National Polytechnique de Grenoble - CNRS - Centre National de la Recherche Scientifique)

Abstract

The study presented in this paper takes part in a project aiming to increase the value of solar production for residential application with a medium-term vision where preferential solar energy subsidies will decrease before to disappear. This study is dedicated to propose and develop optimal energy architecture at supply side, a multi-source system based on photovoltaic (PV) solar energy connecting to main electrical network, taking further into account the effectiveness of intelligent demand side management. To investigate this issue, a method of optimal supplying system sizing and household energy management has been developed. This method, which has been formulated employing Mix Integer Linear Programming (MILP), enables the calculation of the appropriate configuration for power supply system and the optimal operation control to be applied. Using a Net Present Value (NPV) and Probability Index (P.I) basis, the economic analysis allows estimation of the viability of the proposed system under different factors of influence such as renewable energy policies, technology evolutions leading to cheaper installed PV module cost and deregulated electricity market. Simulation results show that, the solution makes it possible for PV power to be significantly valued by the customers without subsidized measures.

Suggested Citation

  • T.T. Ha Pham & Cédric Clastres & F. Wurtz & S. Bacha & Éric Zamaï, 2010. "Optimal household energy management and economic analysis: from sizing to operation scheduling," Post-Print halshs-00323581, HAL.
    • Handle: RePEc:hal:journl:halshs-00323581
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00323581
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    References listed on IDEAS

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    1. Lise, Wietze & Kruseman, Gideon, 2008. "Long-term price and environmental effects in a liberalised electricity market," Energy Economics, Elsevier, vol. 30(2), pages 230-248, March.
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    Cited by:

    1. Georgiou, Giorgos S. & Christodoulides, Paul & Kalogirou, Soteris A., 2019. "Real-time energy convex optimization, via electrical storage, in buildings – A review," Renewable Energy, Elsevier, vol. 139(C), pages 1355-1365.
    2. Morini, Mirko & Pinelli, Michele & Spina, Pier Ruggero & Venturini, Mauro, 2013. "Optimal allocation of thermal, electric and cooling loads among generation technologies in household applications," Applied Energy, Elsevier, vol. 112(C), pages 205-214.

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    Keywords

    MILP; energy management; connected-grid PV system; battery storage; sizing optimization;
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