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A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet

Author

Listed:
  • Bingke Yan

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Bo Wang

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Lin Zhu

    (Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN 37996, USA)

  • Hesen Liu

    (Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN 37996, USA)

  • Yilu Liu

    (Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN 37996, USA)

  • Xingpei Ji

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Dichen Liu

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

Abstract

With a higher penetration of distributed generation in the power system, the application of microgrids is expected to increase dramatically in the future. This paper proposes a novel method to design optimal droop coefficients of dispatchable distributed energy resources for a microgrid in the Energy Internet considering the volatility of renewable energy generation, such as wind and photovoltaics. The uncertainties of renewable energy generation are modeled by a limited number of scenarios with high probabilities. In order to achieve stable and economical operation of a microgrid that is also suitable for plug-and-play distributed renewable energy and distributed energy storage devices, a multi-objective optimization model of droop coefficients compromising between operational cost and the integral of time-weighted absolute error criterion is developed. The optimization is solved by using a differential evolution algorithm. Case studies demonstrate that the economy and transient behavior of microgrids in the Energy Internet can both be improved significantly using the proposed method.

Suggested Citation

  • Bingke Yan & Bo Wang & Lin Zhu & Hesen Liu & Yilu Liu & Xingpei Ji & Dichen Liu, 2015. "A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet," Energies, MDPI, vol. 8(11), pages 1-24, November.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:11:p:12338-12764:d:58626
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    References listed on IDEAS

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    Cited by:

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    6. Xiaochao Hou & Yao Sun & Wenbin Yuan & Hua Han & Chaolu Zhong & Josep M. Guerrero, 2016. "Conventional P -ω/ Q-V Droop Control in Highly Resistive Line of Low-Voltage Converter-Based AC Microgrid," Energies, MDPI, vol. 9(11), pages 1-19, November.
    7. Hua Han & Lang Li & Lina Wang & Mei Su & Yue Zhao & Josep M. Guerrero, 2017. "A Novel Decentralized Economic Operation in Islanded AC Microgrids," Energies, MDPI, vol. 10(6), pages 1-18, June.
    8. Bingda Zhang & Shaowen Fu & Zhao Jin & Ruizhao Hu, 2017. "A Novel FPGA-Based Real-Time Simulator for Micro-Grids," Energies, MDPI, vol. 10(8), pages 1-17, August.
    9. Shuo Jin & Hao Yu & Xiaopeng Fu & Zhiying Wang & Kai Yuan & Peng Li, 2019. "A Universal Design of FPGA-Based Real-Time Simulator for Active Distribution Networks Based on Reconfigurable Computing," Energies, MDPI, vol. 12(11), pages 1-16, May.
    10. Yong Liu & Qiran Li & Masoud Farzaneh & B. X. Du, 2020. "Image Characteristic Extraction of Ice-Covered Outdoor Insulator for Monitoring Icing Degree," Energies, MDPI, vol. 13(20), pages 1-12, October.
    11. Yun Yang & Chengxiong Mao & Dan Wang & Jie Tian & Ming Yang, 2017. "Modeling and Analysis of the Common Mode Voltage in a Cascaded H-Bridge Electronic Power Transformer," Energies, MDPI, vol. 10(9), pages 1-16, September.
    12. Mi Dong & Li Li & Lina Wang & Dongran Song & Zhangjie Liu & Xiaoyu Tian & Zhengguo Li & Yinghua Wang, 2018. "A Distributed Secondary Control Algorithm for Automatic Generation Control Considering EDP and Automatic Voltage Control in an AC Microgrid," Energies, MDPI, vol. 11(4), pages 1-18, April.
    13. Markos A. Kousounadis-Knousen & Ioannis K. Bazionis & Athina P. Georgilaki & Francky Catthoor & Pavlos S. Georgilakis, 2023. "A Review of Solar Power Scenario Generation Methods with Focus on Weather Classifications, Temporal Horizons, and Deep Generative Models," Energies, MDPI, vol. 16(15), pages 1-29, July.
    14. Rishang Long & Jian Liu & Chunliang Lu & Jiaqi Shi & Jianhua Zhang, 2017. "Coordinated Optimal Operation Method of the Regional Energy Internet," Sustainability, MDPI, vol. 9(5), pages 1-14, May.
    15. Lei Chen & Hongkun Chen & Jun Yang & Yanjuan Yu & Kaiwei Zhen & Yang Liu & Li Ren, 2017. "Coordinated Control of Superconducting Fault Current Limiter and Superconducting Magnetic Energy Storage for Transient Performance Enhancement of Grid-Connected Photovoltaic Generation System," Energies, MDPI, vol. 10(1), pages 1-23, January.
    16. Lei Chen & Xiude Tu & Hongkun Chen & Jun Yang & Yayi Wu & Xin Shu & Li Ren, 2016. "Technical Evaluation of Superconducting Fault Current Limiters Used in a Micro-Grid by Considering the Fault Characteristics of Distributed Generation, Energy Storage and Power Loads," Energies, MDPI, vol. 9(10), pages 1-21, September.
    17. Cheng Lv & Xiaodong Zheng & Nengling Tai & Shi Chen, 2018. "Single-Ended Protection Scheme for VSC-Based DC Microgrid Lines," Energies, MDPI, vol. 11(6), pages 1-17, June.

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