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Adaptive Fuzzy Droop Control for Optimized Power Sharing in an Islanded Microgrid

Qian Sun, Qiuye Sun and Dehao Qin
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Qian Sun: College of Information Science and Engineering, Northeastern University, Shengyang 110000, China
Qiuye Sun: College of Information Science and Engineering, Northeastern University, Shengyang 110000, China
Dehao Qin: College of Information Science and Engineering, Northeastern University, Shengyang 110000, China

Energies, 2018, vol. 12, issue 1, 1-23

Abstract: With the serious environment pollution and power crisis, the increasing of renewable energy resource (RES) becomes a new tendency. However, the high proportion of RES may affect the stability of the system when using the conventional droop control with a fixed droop coefficient. In order to prevent the power overloading/curtailment, this paper proposes an adaptive fuzzy droop control (AFDC) scheme with a P-f droop coefficient adjustment to achieve an optimized power sharing. The droop coefficient is adjusted considering the power fluctuation of RES units and the relationship of power generation and demand, which can realize the stability requirements and economic power sharing for the islanded microgrid. What is more, a secondary control is considered to restore the frequency/voltage drop resulting from the droop control. The proposed strategy improves the stability and economics of microgrid with a droop-based renewable energy source, which is verified in MATLAB/Simulink with three simulations which are variations in load, in generation and in load and generation simultaneously. The simulation results show the effectiveness of the proposed control strategy for stable and economic operation for the microgrid.

Keywords: adaptive fuzzy droop control (AFDC); stability control; economic power sharing; microgrid; renewable energy sources (RES) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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