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A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability

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  • Yinze Ren

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)

  • Hongbin Wu

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)

  • Hejun Yang

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)

  • Shihai Yang

    (State Grid Jiangsu Electric Power Co. Ltd., Nanjing 210024, China)

  • Zhixin Li

    (State Grid Jiangsu Electric Power Co. Ltd., Nanjing 210024, China)

Abstract

With the large amount of distributed generation in use, the structure of the distribution system is increasingly complex. Therefore, it is necessary to establish a method to improve load reliability. Based on the reliability model of distributed generation, this paper investigates the time sequential simulation of a wind/solar/storage combined power supply system under off-grid operation. After classifying the load by power supply region, the load weight coefficient is established, which modifies the reliability index of the load point and system. The modified expected energy not supplied (EENS) is adopted as the objective function, and the particle swarm optimization algorithm is used to solving the optimal energy scheduling for improving the load reliability. Finally, the load reliability is calculated with a hybrid method. Using the IEEE-RBTS Bus 6 system as an example, the correctness and validity of the proposed method are verified as an effective way to improve load reliability.

Suggested Citation

  • Yinze Ren & Hongbin Wu & Hejun Yang & Shihai Yang & Zhixin Li, 2018. "A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability," Energies, MDPI, vol. 11(6), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1558-:d:152452
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    References listed on IDEAS

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    1. Hao Bai & Shihong Miao & Pipei Zhang & Zhan Bai, 2015. "Reliability Evaluation of a Distribution Network with Microgrid Based on a Combined Power Generation System," Energies, MDPI, vol. 8(2), pages 1-26, February.
    2. Haipeng Xie & Zhaohong Bie & Yanling Lin & Chao Zheng, 2017. "A Hybrid Reliability Evaluation Method for Meshed VSC-HVDC Grids," Energies, MDPI, vol. 10(7), pages 1-17, July.
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    Cited by:

    1. Yuval Beck & Ram Machlev, 2019. "Harmonic Loads Classification by Means of Currents’ Physical Components," Energies, MDPI, vol. 12(21), pages 1-18, October.
    2. Sana Iqbal & Mohammad Sarfraz & Mohammad Ayyub & Mohd Tariq & Ripon K. Chakrabortty & Michael J. Ryan & Basem Alamri, 2021. "A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment," Sustainability, MDPI, vol. 13(13), pages 1-23, June.

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