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Multiobjective Joint Economic Dispatching of a Microgrid with Multiple Distributed Generation

Author

Listed:
  • Hui Hou

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China)

  • Mengya Xue

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China)

  • Yan Xu

    (School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 637551, Singapore)

  • Jinrui Tang

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China)

  • Guorong Zhu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China)

  • Peng Liu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China)

  • Tao Xu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei, China)

Abstract

Based on the operation characteristics of each dispatch unit, a multi-objective hierarchical Microgrid (MG) economic dispatch strategy with load level, source-load level, and source-grid-load level is proposed in this paper. The objective functions considered are to minimize each dispatching unit’s comprehensive operating cost (COC), reduce the power fluctuation between the MG and the main grid connect line, and decrease the remaining net load of the MG after dispatch by way of energy storage (ES) and clean energy. Firstly, the load level takes electric vehicles (EVs) as a means of controlling load to regulate the MG’s load fluctuation using its energy storage characteristics under time-of-use (TOU) price. Then, in order to minimize the remaining net load of the MG and the COC of the ES unit through Multiobjective Particle Swarm Optimization (MPSO), the source-load level adopts clean energy and ES units to absorb the optimized load from the load level. Finally, the remaining net load is absorbed by the main grid and diesel engines (DE), and the remaining clean energy is sold to the main grid to gain benefits at the source-grid-load level. Ultimately, the proposed strategy is simulated and analyzed with a specific example and compared with the EVs’ disorderly charging operation and MG isolated grid operation, which verifies the strategy’s scientificity and effectiveness.

Suggested Citation

  • Hui Hou & Mengya Xue & Yan Xu & Jinrui Tang & Guorong Zhu & Peng Liu & Tao Xu, 2018. "Multiobjective Joint Economic Dispatching of a Microgrid with Multiple Distributed Generation," Energies, MDPI, vol. 11(12), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3264-:d:185080
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    References listed on IDEAS

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    1. Jianfeng Li & Dongxiao Niu & Ming Wu & Yongli Wang & Fang Li & Huanran Dong, 2018. "Research on Battery Energy Storage as Backup Power in the Operation Optimization of a Regional Integrated Energy System," Energies, MDPI, vol. 11(11), pages 1-20, November.
    2. Haitao Liu & Yu Ji & Huaidong Zhuang & Hongbin Wu, 2015. "Multi-Objective Dynamic Economic Dispatch of Microgrid Systems Including Vehicle-to-Grid," Energies, MDPI, vol. 8(5), pages 1-20, May.
    3. Wei-Tzer Huang & Kai-Chao Yao & Chun-Ching Wu & Yung-Ruei Chang & Yih-Der Lee & Yuan-Hsiang Ho, 2016. "A Three-Stage Optimal Approach for Power System Economic Dispatch Considering Microgrids," Energies, MDPI, vol. 9(11), pages 1-18, November.
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    Cited by:

    1. Yue Cao & Tao Li & Tianyu He & Yuwei Wei & Ming Li & Fengqi Si, 2022. "Multiobjective Load Dispatch for Coal-Fired Power Plants under Renewable-Energy Accommodation Based on a Nondominated-Sorting Grey Wolf Optimizer Algorithm," Energies, MDPI, vol. 15(8), pages 1-19, April.
    2. Jie Deng & Hao Chen & Xuerong Ye & Huimin Liang & Guofu Zhaia, 2019. "A Novel Method for Comprehensive Quality and Reliability Optimization of High-Power DC Actuators for Renewable Energy Systems," Energies, MDPI, vol. 12(19), pages 1-16, September.
    3. Hou, Hui & Xue, Mengya & Xu, Yan & Xiao, Zhenfeng & Deng, Xiangtian & Xu, Tao & Liu, Peng & Cui, Rongjian, 2020. "Multi-objective economic dispatch of a microgrid considering electric vehicle and transferable load," Applied Energy, Elsevier, vol. 262(C).
    4. Aqsa Naeem & Naveed Ul Hassan & Chau Yuen & S. M. Muyeen, 2019. "Maximizing the Economic Benefits of a Grid-Tied Microgrid Using Solar-Wind Complementarity," Energies, MDPI, vol. 12(3), pages 1-22, January.

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