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Enhancing the Reliability of Weak-Grid-Tied Residential Communities Using Risk-Based Home Energy Management Systems under Market Price Uncertainty

Author

Listed:
  • Haala Haj Issa

    (School of Electrical and Computer Engineering, College of Engineering, University of Tehran, 13 Tehran, Iran)

  • Moein Abedini

    (School of Electrical and Computer Engineering, College of Engineering, University of Tehran, 13 Tehran, Iran)

  • Mohsen Hamzeh

    (School of Electrical and Computer Engineering, College of Engineering, University of Tehran, 13 Tehran, Iran)

  • Amjad Anvari-Moghaddam

    (Department of Energy (AAU Energy), Aalborg University, 9220 Aalborg, Denmark)

Abstract

This paper evaluates the reliability of smart home energy management systems (SHEMSs) in a residential community with an unreliable power grid and power shortages. Unlike the previous works, which mainly focused on cost analysis, this research assesses the reliability of SHEMSs for different backup power sources, including photovoltaic systems (PVs), battery storage systems (BSSs), electric vehicles (EVs), and diesel generators (DGs). The impact of these changes on the daily cost and the balance of energy source contribution in providing electrical energy to household loads, particularly during power outage hours, is also evaluated. To address the uncertainty of electricity market prices, a risk management approach based on conditional value at risk is applied. Additionally, the study highlights the impact of community size on energy costs and reliability. The proposed model is formulated as a mixed-integer nonlinear programming problem and is solved using GAMS. The effectiveness of the proposed risk-based optimization approach is demonstrated through comprehensive cost and reliability analysis. The results reveal that when electric vehicles are used as backup power sources, the energy index of reliability (EIR) is not affected by market price variations and shows significant improvement, reaching approximately 99.9% across all scenarios.

Suggested Citation

  • Haala Haj Issa & Moein Abedini & Mohsen Hamzeh & Amjad Anvari-Moghaddam, 2024. "Enhancing the Reliability of Weak-Grid-Tied Residential Communities Using Risk-Based Home Energy Management Systems under Market Price Uncertainty," Energies, MDPI, vol. 17(21), pages 1-29, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:21:p:5372-:d:1508702
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    References listed on IDEAS

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    1. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Yusta-Loyo, José M. & Domínguez-Navarro, José A. & Ramírez-Rosado, Ignacio J. & Lujano, Juan & Aso, Ismael, 2011. "Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage," Applied Energy, Elsevier, vol. 88(11), pages 4033-4041.
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    3. Waseem, Muhammad & Lin, Zhenzhi & Liu, Shengyuan & Zhang, Zhi & Aziz, Tarique & Khan, Danish, 2021. "Fuzzy compromised solution-based novel home appliances scheduling and demand response with optimal dispatch of distributed energy resources," Applied Energy, Elsevier, vol. 290(C).
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