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Design and Implementation of a High Quality Power Supply Scheme for Distributed Generation in a Micro-Grid

Author

Listed:
  • Mingchao Xia

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Xiaoliang Li

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

Abstract

A low carbon, high efficiency and high quality power supply scheme for Distributed Generation (DG) in a micro-grid is presented. A three-phase, four-leg DG grid-interfacing converter based on the improved structure of a Unified Power Quality Conditioner (UPQC, including a series converter and a parallel converter) is adopted, and improved indirect and direct control strategies are proposed. It can be observed that these strategies effectively compensate for voltage sags, voltage swells and voltage distortion, as well as voltage power quality problems resulting from the nonlinear and unbalanced loads in a micro-grid. While solving the coupling interference from series–parallel, the grid-interfacing converter can achieve proper load power sharing in a micro-grid. In particular, an improved minimum-energy compensation method is proposed that can overcome the conventional compensation algorithm defects, ensure the load voltage’s phase angle stability, improve the voltage compensating ability and range, reduce the capacity and cost of converters, and reduce the shock of micro-grid switching between grid-connected mode and islanded mode. Moreover, the advantages/disadvantages and application situation of the two improved control strategies are analyzed. Finally, the performance of the proposed control strategies has been verified through a MATLAB/Simulink simulation under various operating conditions.

Suggested Citation

  • Mingchao Xia & Xiaoliang Li, 2013. "Design and Implementation of a High Quality Power Supply Scheme for Distributed Generation in a Micro-Grid," Energies, MDPI, vol. 6(9), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:9:p:4924-4944:d:28965
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    References listed on IDEAS

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    1. Ning Zhang & Wei Gu & Haojun Yu & Wei Liu, 2013. "Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power," Energies, MDPI, vol. 6(4), pages 1-16, April.
    2. Christina N. Papadimitriou & Nicholas A. Vovos, 2010. "Transient Response Improvement of Microgrids Exploiting the Inertia of a Doubly-Fed Induction Generator (DFIG)," Energies, MDPI, vol. 3(6), pages 1-18, June.
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    Cited by:

    1. Xiaojun Zhao & Xiuhui Chai & Xiaoqiang Guo & Ahmad Waseem & Xiaohuan Wang & Chunjiang Zhang, 2021. "Impedance Matching-Based Power Flow Analysis for UPQC in Three-Phase Four-Wire Systems," Energies, MDPI, vol. 14(9), pages 1-17, May.
    2. Haritza Camblong & Aitor Etxeberria & Juanjo Ugartemendia & Octavian Curea, 2014. "Gain Scheduling Control of an Islanded Microgrid Voltage," Energies, MDPI, vol. 7(7), pages 1-21, July.
    3. Nantian Huang & Hua Peng & Guowei Cai & Jikai Chen, 2016. "Power Quality Disturbances Feature Selection and Recognition Using Optimal Multi-Resolution Fast S-Transform and CART Algorithm," Energies, MDPI, vol. 9(11), pages 1-21, November.
    4. Jingjing Bai & Wei Gu & Xiaodong Yuan & Qun Li & Feng Xue & Xuchong Wang, 2015. "Power Quality Prediction, Early Warning, and Control for Points of Common Coupling with Wind Farms," Energies, MDPI, vol. 8(9), pages 1-18, August.
    5. Pedro Roncero-Sànchez & Enrique Acha, 2014. "Design of a Control Scheme for Distribution Static Synchronous Compensators with Power-Quality Improvement Capability," Energies, MDPI, vol. 7(4), pages 1-22, April.
    6. Xiangang Peng & Lixiang Lin & Weiqin Zheng & Yi Liu, 2015. "Crisscross Optimization Algorithm and Monte Carlo Simulation for Solving Optimal Distributed Generation Allocation Problem," Energies, MDPI, vol. 8(12), pages 1-19, December.
    7. Yue Wu & Junxiang Li & Jin Gao, 2021. "Real-Time Bidding Model of Cryptocurrency Energy Trading Platform," Energies, MDPI, vol. 14(21), pages 1-14, November.
    8. Yajing Gao & Wenhai Yang & Jing Zhu & Jiafeng Ren & Peng Li, 2017. "Evaluating the Effect of Distributed Generation on Power Supply Capacity in Active Distribution System Based on Sensitivity Analysis," Energies, MDPI, vol. 10(10), pages 1-14, September.

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