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Probabilistic Optimal Power Dispatch in Multi-Carrier Networked Microgrids under Uncertainties

Author

Listed:
  • Vahid Amir

    (Department of Electrical Engineering, Faculty of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran)

  • Shahram Jadid

    (Department of Electrical Engineering, Faculty of Electrical Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran)

  • Mehdi Ehsan

    (Department of Electrical Engineering, Faculty of Electrical Engineering, Sharif University of Technology, Tehran PO Box 1136511155, Iran)

Abstract

A microgrid (MG) is a small-scale version of the power system which makes possible the integration of renewable resources as well as achieving maximum demand side management (DSM) utilization. The future power system will be faced with severe uncertainties owing to penetration of renewable resources. Consequently, the uncertainty assessment of system performance is essential. The conventional energy scheduling in an MG may not be suitable for active distribution networks. Hence, this study focuses on the probabilistic analysis of optimal power dispatch considering economic aspects in a multi-carrier networked microgrid. The aim is to study the impact of uncertain behavior of loads, renewable resources, and electricity market on the optimal management of a multi-carrier networked microgrid. Furthermore, a novel time-based demand side management is proposed in order to reshape the load curve, as well as preventing the excessive use of energy in peak hours. The optimization model is formulated as a mixed integer nonlinear program (MINLP) and is solved using MATLAB and GAMS software. Results show that the energy sharing capability between MCMGs and MCMGs and the main grids as well as utilization of demand side management can decrease operating costs for smart distribution grids.

Suggested Citation

  • Vahid Amir & Shahram Jadid & Mehdi Ehsan, 2017. "Probabilistic Optimal Power Dispatch in Multi-Carrier Networked Microgrids under Uncertainties," Energies, MDPI, vol. 10(11), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1770-:d:117507
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    References listed on IDEAS

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    Cited by:

    1. Azimian, Mahdi & Amir, Vahid & Javadi, Saeid, 2020. "Economic and Environmental Policy Analysis for Emission-Neutral Multi-Carrier Microgrid Deployment," Applied Energy, Elsevier, vol. 277(C).
    2. Mansour-Saatloo, Amin & Pezhmani, Yasin & Mirzaei, Mohammad Amin & Mohammadi-Ivatloo, Behnam & Zare, Kazem & Marzband, Mousa & Anvari-Moghaddam, Amjad, 2021. "Robust decentralized optimization of Multi-Microgrids integrated with Power-to-X technologies," Applied Energy, Elsevier, vol. 304(C).
    3. Castellanos, Johanna & Correa-Flórez, Carlos Adrián & Garcés, Alejandro & Ordóñez-Plata, Gabriel & Uribe, César A. & Patino, Diego, 2023. "An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market," Applied Energy, Elsevier, vol. 343(C).

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