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Dynamic Stability Performance of Autonomous Microgrid Involving High Penetration Level of Constant Power Loads

Author

Listed:
  • Mohamed A. Hassan

    (Center for Engineering Research, Research Institute, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia)

  • Muhammed Y. Worku

    (Center for Engineering Research, Research Institute, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia)

  • Abdelfattah A. Eladl

    (Electrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt)

  • Mohammed A. Abido

    (Electrical Engineering Department, Faculty of Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
    King Abdullah City for Atomic and Renewable Energy (K.A.CARE), Energy Research & Innovation Center (ERIC) at KFUPM, Dhahran 31261, Saudi Arabia)

Abstract

Nowadays, behaving as constant power loads (CPLs), rectifiers and voltage regulators are extensively used in microgrids (MGs). The MG dynamic behavior challenges both stability and control effectiveness in the presence of CPLs. CPLs characteristics such as negative incremental resistance, synchronization, and control loop dynamic with similar frequency range of the inverter disturb severely the MG stability. Additionally, the MG stability problem will be more sophisticated with a high penetration level of CPLs in MGs. The stability analysis becomes more essential especially with high-penetrated CPLs. In this paper, the dynamic stability performance of an MG involving a high penetration level of CPLs is analyzed and investigated. An autonomous MG engaging a number of CPLs and inverter distributed generations (DGs) is modeled and designed using MATLAB. Voltage, current, and power controllers are optimally designed, controlling the inverter DGs output. A power droop controller is implemented to share the output DGs powers. Meanwhile, the current and voltage controllers are employed to control the output voltage and current of all DGs. A phase-locked loop (PLL) is essentially utilized to synchronize the CPLs with the MG. The controller gains of the inverters, CPLs, power sharing control, and PLL are optimally devised using particle swarm optimization (PSO). As a weighted objective function, the error in the DC voltage of the CPL and active power of the DG is minimized in the optimal problem based on the time-domain simulation. Under the presence of high penetrated CPLs, all controllers are coordinately tuned to ensure an enhanced dynamic stability of the MG. The impact of the highly penetrated CPLs on the MG dynamic stability is investigated. To confirm the effectiveness of the proposed technique, different disturbances are applied. The analysis shows that the MG system experiences the instability challenges due to the high penetrated CPLs. The simulation results confirm the effectiveness of the proposed method to improve the MG dynamic stability performance.

Suggested Citation

  • Mohamed A. Hassan & Muhammed Y. Worku & Abdelfattah A. Eladl & Mohammed A. Abido, 2021. "Dynamic Stability Performance of Autonomous Microgrid Involving High Penetration Level of Constant Power Loads," Mathematics, MDPI, vol. 9(9), pages 1-23, April.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:922-:d:540285
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    References listed on IDEAS

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    1. Mohammed Kh. AL-Nussairi & Ramazan Bayindir & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Pierluigi Siano, 2017. "Constant Power Loads (CPL) with Microgrids: Problem Definition, Stability Analysis and Compensation Techniques," Energies, MDPI, vol. 10(10), pages 1-20, October.
    2. Colmenar-Santos, Antonio & Reino-Rio, Cipriano & Borge-Diez, David & Collado-Fernández, Eduardo, 2016. "Distributed generation: A review of factors that can contribute most to achieve a scenario of DG units embedded in the new distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1130-1148.
    3. Shuai, Zhikang & Sun, Yingyun & Shen, Z. John & Tian, Wei & Tu, Chunming & Li, Yan & Yin, Xin, 2016. "Microgrid stability: Classification and a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 167-179.
    4. Li, Bei & Roche, Robin & Miraoui, Abdellatif, 2017. "Microgrid sizing with combined evolutionary algorithm and MILP unit commitment," Applied Energy, Elsevier, vol. 188(C), pages 547-562.
    5. Ou, Ting-Chia & Hong, Chih-Ming, 2014. "Dynamic operation and control of microgrid hybrid power systems," Energy, Elsevier, vol. 66(C), pages 314-323.
    6. Ting-Chia Ou & Kai-Hung Lu & Chiou-Jye Huang, 2017. "Improvement of Transient Stability in a Hybrid Power Multi-System Using a Designed NIDC (Novel Intelligent Damping Controller)," Energies, MDPI, vol. 10(4), pages 1-16, April.
    7. Eklas Hossain & Ron Perez & Sanjeevikumar Padmanaban & Pierluigi Siano, 2017. "Investigation on the Development of a Sliding Mode Controller for Constant Power Loads in Microgrids," Energies, MDPI, vol. 10(8), pages 1-24, July.
    8. Mohamed A. Hassan & Muhammed Y. Worku & Mohamed A. Abido, 2019. "Optimal Power Control of Inverter-Based Distributed Generations in Grid-Connected Microgrid," Sustainability, MDPI, vol. 11(20), pages 1-27, October.
    9. Daniel Akinyele & Juri Belikov & Yoash Levron, 2018. "Challenges of Microgrids in Remote Communities: A STEEP Model Application," Energies, MDPI, vol. 11(2), pages 1-35, February.
    10. Muhammed Y. Worku & Mohamed A. Hassan & Mohamed A. Abido, 2019. "Real Time Energy Management and Control of Renewable Energy based Microgrid in Grid Connected and Island Modes," Energies, MDPI, vol. 12(2), pages 1-18, January.
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    Cited by:

    1. Alexandros Paspatis & Konstantinos Fiorentzis & Yiannis Katsigiannis & Emmanuel Karapidakis, 2022. "Smart Campus Microgrids towards a Sustainable Energy Transition—The Case Study of the Hellenic Mediterranean University in Crete," Mathematics, MDPI, vol. 10(7), pages 1-19, March.
    2. Anantha Krishnan, V. & Balamurugan, P., 2022. "An efficient DLN2-CRSO approach based dynamic stability enhancement in micro-grid system," Applied Energy, Elsevier, vol. 322(C).

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