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Optimal Allocation of Distributed Generation Considering Protection

Author

Listed:
  • Hamza M. Bakr

    (Department of Electrical Engineering, American University of Sharjah, Sharjah 26666, UAE)

  • Mostafa F. Shaaban

    (Department of Electrical Engineering, American University of Sharjah, Sharjah 26666, UAE)

  • Ahmed H. Osman

    (Department of Electrical Engineering, American University of Sharjah, Sharjah 26666, UAE)

  • Hatem F. Sindi

    (Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

The integration of distributed generation (DG) into the power grid has increased in recent years due to its techno-economic benefits for utilities and consumers. However, due to the fact that distribution systems were not originally designed to accommodate such DG units, many challenges are being faced by utilities to seamlessly integrate them into their systems. One of the critical challenges is their effect on protection system settings and coordination. The DG units will affect the pickup current settings of the protection relays, coordination between the primary and secondary relays, and even the direction of the fault current. Failing to consider DG’s effect on the protection system may lead to serious equipment damage or system failure, causing huge financial setbacks for utilities. To that end, this work proposes a new dynamic approach to optimally allocate different types of DG units over the planning horizon. The objective is to minimize the overall costs of the system while taking into consideration the intermittent nature of renewable DG and the impacts on the protection system. Simulation results have been developed on a typical distribution system to prove the effectiveness of the proposed approach.

Suggested Citation

  • Hamza M. Bakr & Mostafa F. Shaaban & Ahmed H. Osman & Hatem F. Sindi, 2020. "Optimal Allocation of Distributed Generation Considering Protection," Energies, MDPI, vol. 13(9), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2402-:d:356765
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    References listed on IDEAS

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    1. Kennedy, Joel & Ciufo, Phil & Agalgaonkar, Ashish, 2016. "A review of protection systems for distribution networks embedded with renewable generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1308-1317.
    2. Li, Yan-Fu & Zio, Enrico, 2012. "A multi-state model for the reliability assessment of a distributed generation system via universal generating function," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 28-36.
    3. Yongchun Yang & Xiaodan Wang & Jingjing Luo & Jie Duan & Yajing Gao & Hong Li & Xiangning Xiao, 2017. "Multi-Objective Coordinated Planning of Distributed Generation and AC/DC Hybrid Distribution Networks Based on a Multi-Scenario Technique Considering Timing Characteristics," Energies, MDPI, vol. 10(12), pages 1-29, December.
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    Cited by:

    1. Pejman Peidaee & Akhtar Kalam & Juan Shi, 2020. "Integration of a Heuristic Multi-Agent Protection System into a Distribution Network Interconnected with Distributed Energy Resources," Energies, MDPI, vol. 13(20), pages 1-25, October.
    2. Tadeusz Mączka & Halina Pawlak-Kruczek & Lukasz Niedzwiecki & Edward Ziaja & Artur Chorążyczewski, 2020. "Plasma Assisted Combustion as a Cost-Effective Way for Balancing of Intermittent Sources: Techno-Economic Assessment for 200 MW el Power Unit," Energies, MDPI, vol. 13(19), pages 1-16, September.
    3. Jiufu Liu & Hongzhong Ma & Xiaolei Xie & Jun Cheng, 2022. "Short Text Classification for Faults Information of Secondary Equipment Based on Convolutional Neural Networks," Energies, MDPI, vol. 15(7), pages 1-15, March.

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