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Dynamic Modeling of Multiple Microgrid Clusters Using Regional Demand Response Programs

Author

Listed:
  • Ziba Rostami

    (Electrical Engineering Department, Azarbaijan Shahid Madani University, Tabriz, Iran)

  • Sajad Najafi Ravadanegh

    (Electrical Engineering Department, Azarbaijan Shahid Madani University, Tabriz, Iran)

  • Navid Taghizadegan Kalantari

    (Electrical Engineering Department, Azarbaijan Shahid Madani University, Tabriz, Iran)

  • Josep M. Guerrero

    (Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark)

  • Juan C. Vasquez

    (Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark)

Abstract

Preserving the frequency stability of multiple microgrid clusters is a serious challenge. This work presents a dynamic model of multiple microgrid clusters with different types of distributed energy resources (DERs) and energy storage systems (ESSs) that was used to examine the load frequency control (LFC) of microgrids. The classical proportional integral derivative (PID) controllers were designed to tune the frequency of microgrids. Furthermore, an imperialist competitive algorithm (ICA) was proposed to investigate the frequency deviations of microgrids by considering renewable energy resources (RERs) and their load uncertainties. The simulation results confirmed the performance of the optimized PID controllers under different disturbances. Furthermore, the frequency control of the microgrids was evaluated by applying regional demand response programs (RDRPs). The simulation results showed that applying the RDRPs caused the damping of frequency fluctuations.

Suggested Citation

  • Ziba Rostami & Sajad Najafi Ravadanegh & Navid Taghizadegan Kalantari & Josep M. Guerrero & Juan C. Vasquez, 2020. "Dynamic Modeling of Multiple Microgrid Clusters Using Regional Demand Response Programs," Energies, MDPI, vol. 13(16), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4050-:d:394848
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    References listed on IDEAS

    as
    1. Malik, Anam & Ravishankar, Jayashri, 2018. "A hybrid control approach for regulating frequency through demand response," Applied Energy, Elsevier, vol. 210(C), pages 1347-1362.
    2. Gholam Ali Alizadeh & Tohid Rahimi & Mohsen Hasan Babayi Nozadian & Sanjeevikumar Padmanaban & Zbigniew Leonowicz, 2019. "Improving Microgrid Frequency Regulation Based on the Virtual Inertia Concept while Considering Communication System Delay," Energies, MDPI, vol. 12(10), pages 1-15, May.
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    Cited by:

    1. Jordi de la Hoz & Helena Martín & José Matas, 2023. "Editorial on the Special Issue Entitled “Regulatory Frameworks Addressed to Promote Renewable Energy Sources and Microgrids. Regulatory Constraints and Implications on Conception, Design and Energy Ma," Energies, MDPI, vol. 16(13), pages 1-4, June.
    2. Shihao Xie & Yun Zeng & Jing Qian & Fanjie Yang & Youtao Li, 2023. "CPSOGSA Optimization Algorithm Driven Cascaded 3DOF-FOPID-FOPI Controller for Load Frequency Control of DFIG-Containing Interconnected Power System," Energies, MDPI, vol. 16(3), pages 1-18, January.
    3. Rosero, D.G. & Díaz, N.L. & Trujillo, C.L., 2021. "Cloud and machine learning experiments applied to the energy management in a microgrid cluster," Applied Energy, Elsevier, vol. 304(C).
    4. Hiranmay Samanta & Abhijit Das & Indrajt Bose & Joydip Jana & Ankur Bhattacharjee & Konika Das Bhattacharya & Samarjit Sengupta & Hiranmay Saha, 2021. "Field-Validated Communication Systems for Smart Microgrid Energy Management in a Rural Microgrid Cluster," Energies, MDPI, vol. 14(19), pages 1-15, October.

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