DOI:10.35833/MPCE.2018.000878 |
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Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch |
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Page view: 123
Net amount: 599 |
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Author:
Liu Haiyuan1,Wang Yingjie2,Wang Min2,Guo Yinan1,Wang Jiashi2,Shen Gang3,Liao Guoqiang4
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Author Affiliation:
1.School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221000, China;2.School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221000, China;3.School of Mechanical Engineering, China University of Mining and Technology, Xuzhou 221000, China;4.CRRC Zhuzhou Locomotive Co., Ltd, Zhuzhou 412001, China
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Foundation: |
This work was supported by the National Key R&D Program of China (No. 2016YFC0600906), the National Natural Science Foundation of China (No. U1810124), the Xuzhou Promoting Science and Technology Innovation Projects (No. KC18076) and the Natural Science Foundation of Jiangsu Province (No. BK20160268). |
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Abstract: |
To obtain a larger controllable range of output/input power of droop-control sources, a multi-objective optimization segmented droop control suitable for economic dispatch for a DC microgrid is proposed. According to the small-signal analysis, the worst point of the stability in the droop-control curve is determined through the analysis of a simplified model with multiple droop-control sources. By considering the worst points of stability as constraints, an elitist non-dominated sorting genetic algorithm is used to search the better turning points of the proposed droop-control curves after obtaining the new rated operation points from the system-layer economic dispatch. Simultaneously, optimization objectives, including the influence of eliminating the line resistance and capacity matching, are considered in the search process. Finally, the simulation results of the DC microgrid simulation model based on RT-Lab are presented to support the stability conclusion and proposed droop control. |
Keywords: |
Small signal ; DC microgrid ; droop control ; elitist non-dominated sorting genetic algorithm (NSGA-П) |
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Received:December 10, 2018
Online Time:2020/06/03 |
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