Abstract
As an effective carrier of distributed generation, a microgrid is an effective way to ensure that distributed power can be reasonably utilized. However, due to the property of line impedance and other factors in a microgrid, reactive power supplied by distributed generation units cannot be shared rationally. To efficiently improve reactive power sharing, this paper proposes a reactive power-voltage control strategy based on adaptive virtual impedance. This method changes the voltage reference value by adding an adaptive term based on the traditional virtual impedance. Meanwhile, a voltage recovery mechanism was used to compensate the decline of distributed generation (DG) output voltage in the process. MATLAB/Simulink simulations and experimental results show that the proposed controller can effectively improve the steady state performance of the active and reactive power sharing. Finally, the feasibility and effectiveness of the proposed control strategy were verified.
Highlights
With the remarkable advantages of enhancing the comprehensive utilization of wind, photovoltaic, and other sources of energy while simultaneously reducing environmental pollution, widening application, and supplementing the existing power system, Distributed Generation (DG) has attracted an increasing amount of attention and research in recent years [1,2,3,4]
Subjecting to the issue that DG units rationally shares reactive power, this paper proposes a reactive power-voltage control strategy for a microgrid based on adaptive virtual impedance
It should be noted that this paper mainly focuses on the bottom-layer control strategy for microgrids in islanded mode, which means it solves the focuses on the bottom-layer control strategy for microgrids in islanded mode, which means it solves power-sharing issue caused by feeder mismatch and attempts to rely on the communication mechanism the power-sharing issue caused by feeder mismatch and attempts to rely on the communication in the bottom controller as little as possible [30,31,32,33,34,35]
Summary
Yao Liu 1,2 , Lin Guan 1 , Fang Guo 3, *, Jianping Zheng 4 , Jianfu Chen 2 , Chao Liu 2 and.
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