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Effect of load type on standalone micro grid fault performance

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  • Kamel, Rashad M.
  • Nagasaka, Ken

Abstract

This paper studies the influence of the load type on the fault performance of the standalone Micro Grid (MG). Different load types (static and dynamic) are considered to show their effects on the standalone MG fault behavior. Specifically, the effects of constant power static loads, constant impedance static loads, and constant current static loads are analyzed. Also, effects of dynamic (rotating) loads are highlighted. Results show, that the rotating loads have dominant effects on the fault performance of the MG during the standalone (islanded) mode. Furthermore, rotating loads cause fault currents and touch voltages three times the values associated with the static loads. Consequently, the employed protective devices with the rotating loads MG must be rated three times larger than the employed protective devices with the static loads MG. Also, the time settings of the MG protection devices are highly influenced with the load type. For static load MG, it is equal to 250% of the rotating loads MG protection devices time settings. The three types of static load show different impacts on islanded MG fault performance. Constant power static load has the highest effect compared to the other two static load types (namely, constant impedance and constant current static loads). The results obtained in this study provide a guide for the MG protection designers and planners to consider the effects of load type on the MG protection devices rating and setting.

Suggested Citation

  • Kamel, Rashad M. & Nagasaka, Ken, 2015. "Effect of load type on standalone micro grid fault performance," Applied Energy, Elsevier, vol. 160(C), pages 532-540.
    • Handle: RePEc:eee:appene:v:160:y:2015:i:c:p:532-540
    DOI: 10.1016/j.apenergy.2015.09.044
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    References listed on IDEAS

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    1. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Narimani, Mohammad Rasoul, 2012. "An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation," Applied Energy, Elsevier, vol. 99(C), pages 455-470.
    2. Kamel, Rashad M., 2014. "Employing two novel mechanical fault ride through controllers for keeping stability of fixed speed wind generation systems hosted by standalone micro-grid," Applied Energy, Elsevier, vol. 116(C), pages 398-408.
    3. Soshinskaya, Mariya & Crijns-Graus, Wina H.J. & van der Meer, Jos & Guerrero, Josep M., 2014. "Application of a microgrid with renewables for a water treatment plant," Applied Energy, Elsevier, vol. 134(C), pages 20-34.
    4. Chen, Yen-Haw & Lu, Su-Ying & Chang, Yung-Ruei & Lee, Ta-Tung & Hu, Ming-Che, 2013. "Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan," Applied Energy, Elsevier, vol. 103(C), pages 145-154.
    5. Mazzola, Simone & Astolfi, Marco & Macchi, Ennio, 2015. "A detailed model for the optimal management of a multigood microgrid," Applied Energy, Elsevier, vol. 154(C), pages 862-873.
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    Cited by:

    1. Sultan Sh. Alanzi & Rashad M. Kamel, 2021. "Photovoltaic Maximum Penetration Limits on Medium Voltage Overhead and Underground Cable Distribution Feeders: A Comparative Study," Energies, MDPI, vol. 14(13), pages 1-20, June.
    2. Zenginis, Ioannis & Vardakas, John S. & Echave, Cynthia & Morató, Moisés & Abadal, Jordi & Verikoukis, Christos V., 2017. "Cooperation in microgrids through power exchange: An optimal sizing and operation approach," Applied Energy, Elsevier, vol. 203(C), pages 972-981.

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