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Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

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  • Jura Arkhangelski

    (Centre for Studies and Thermal, Environment and Systems Research, University Research Institute of Creteil-Vitry, University Paris-Est, 61, General de Gaulle Avenue, 94000 Creteil, France)

  • Pierluigi Siano

    (Department of Management & Innovation Systems, University of Salerno, 84084 Fisciano, Italy)

  • Abdou-Tankari Mahamadou

    (Centre for Studies and Thermal, Environment and Systems Research, University Research Institute of Creteil-Vitry, University Paris-Est, 61, General de Gaulle Avenue, 94000 Creteil, France)

  • Gilles Lefebvre

    (Centre for Studies and Thermal, Environment and Systems Research, University Research Institute of Creteil-Vitry, University Paris-Est, 61, General de Gaulle Avenue, 94000 Creteil, France)

Abstract

In this paper, an innovative method for managing a smart-community microgrid (SCM) with a centralized electrical storage system (CESS) is proposed. The method consists of day-ahead optimal power flow (DA–OPF) for day-ahead SCM managing and its subsequent evaluation, considering forecast uncertainties. The DA–OPF is based on a data forecast system that uses a deep learning (DL) long short-term memory (LSTM) network. The OPF problem is formulated as a mathematical mixed-integer nonlinear programming (MINLP) model. Following this, the developed DA–OPF strategy was evaluated under possible operations, using a Monte Carlo simulation (MCS). The MCS allowed us to obtain potential deviations of forecasted data during possible day-ahead operations and to evaluate the impact of the data forecast errors on the SCM, and that of unit limitation and the emergence of critical situations. Simulation results on a real existing rural conventional community endowed with a centralized community renewable generation (CCRG) and CESS, confirmed the effectiveness of the proposed operation method. The economic analysis showed significant benefits and an electricity price reduction for the considered community if compared to a conventional distribution system, as well as the easy applicability of the proposed method due to the CESS and the developed operating systems.

Suggested Citation

  • Jura Arkhangelski & Pierluigi Siano & Abdou-Tankari Mahamadou & Gilles Lefebvre, 2020. "Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems," Energies, MDPI, vol. 13(7), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1764-:d:342237
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    References listed on IDEAS

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    Cited by:

    1. Erdal Irmak & Ersan Kabalci & Yasin Kabalci, 2023. "Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity," Energies, MDPI, vol. 16(12), pages 1-58, June.
    2. Miloud Rezkallah & Sanjeev Singh & Ambrish Chandra & Bhim Singh & Hussein Ibrahim, 2020. "Off-Grid System Configurations for Coordinated Control of Renewable Energy Sources," Energies, MDPI, vol. 13(18), pages 1-25, September.
    3. Liu, Jicheng & Lu, Yunyuan, 2023. "A task matching model of photovoltaic storage system under the energy blockchain environment - based on GA-CLOUD-GS algorithm," Energy, Elsevier, vol. 283(C).

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