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Optimal Planning and Operation Scheduling of Battery Storage Units in Distribution Systems

Hamidreza Mirtaheri, Alessandro Bortoletto, Maurizio Fantino, Andrea Mazza, Mousa Marzband

    Research output: Contribution to conferencePaperpeer-review

    10 Citations (Scopus)
    116 Downloads (Pure)

    Abstract

    In the last years, the electricity system has been subject to a paradigm change, due to increasing share of installed renewable energy sources-based power plants. This fact is leading electrical system - which proper operation was however affected by the intermittent nature of renewables - to become more “green”. The union of energy chain de-carbonization with service reliability opens new opportunities for storage systems, although their relatively high cost highlighted the importance of optimal decisions in sizing, placing and operation of such systems. For addressing these aspects, appropriate mathematical models and optimization methods are needed: in this paper, a novel and efficient hybrid optimization algorithm is introduced, to solve i) sizing, ii) placement and iii) operation of arbitrary storage systems. This method is then applied to a low voltage grid, to demonstrate the effectiveness of the proposed methodology.
    Original languageEnglish
    Number of pages6
    DOIs
    Publication statusPublished - 26 Aug 2019
    Event2019 IEEE Milan PowerTech - Milan, Italy
    Duration: 23 Jun 201927 Jun 2019

    Conference

    Conference2019 IEEE Milan PowerTech
    Period23/06/1927/06/19

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • smart grid
    • storage system
    • optimization
    • genetic algorithm
    • constraint programming
    • siting
    • sizingc
    • scheduling

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