Abstract
In this article, a modified decentralized finite control set model predictive control (FCS-MPC) scheme for the distributed energy resources (DERs) is proposed to improve the power management quality of the prosumers integrated microgrids under the condition of harmonic and unbalance loads. The proposed control strategy for the microgrids mainly consists of the power droop controller, the model predictive controller delay compensation, feedback correction and the unbalance compensation mechanism. The feedback correction method is used to correct the delay compensation, which effectively reduces the average switching frequency (ASF) and voltage total harmonic distortion (THD). By sharing the negative sequence reactive power of the microgrid, power distribution between the prosumers' DERs is improved. The DERs in the prosumers can be integrated without any communication wire. The transient response and robustness to parameter changes are far superior to hierarchical cascaded control. Moreover, the proposed control strategy can better suppress harmonic and reduce and share fundamental negative sequence reactive power under microgrid unbalance and nonlinear load conditions. Finally, the effectiveness of the proposed FCS-MPC control strategy is validated by time-domain simulation results and real-time tests with RT-Lab under the condition of unbalanced and nonlinear loads in the microgrids.
Highlights
With the development of the global economy and society, the use of fossil energy has caused a series of environmental problems
The proposed finite control set model predictive control (FCS-model predictive control (MPC)) control strategy is implemented in an islanded ac microgrid consisting of two voltage source converter (VSC) distributed generation (DG) units, which helps simplify the analysis in this study
This paper proposes a modified decentralized finite control set model predictive control strategy of prosumers integrated microgrids for unbalanced and harmonic power management
Summary
With the development of the global economy and society, the use of fossil energy has caused a series of environmental problems. In [38], a cost function-based CCS-MPC is proposed to compensate the voltage imbalance and different harmonics of the power grid. The preset cost function defines the weight of different control variables (such as voltage, current, switching frequency) in the control target This feature provides new options for improving power quality. In [47], a cost function-based finite control set model predictive control method is used to implement unbalance compensation for grid mode operation. A decentralized FCS-MPC control strategy for the VSC-based islanded microgrids in the case of unbalanced and nonlinear loads is proposed. The numerical simulation was implemented under the condition of unbalanced and nonlinear loads using MATLAB/Simulink tools, and real-time verification testing was performed with RT-Lab. The effectiveness of the proposed control strategy was verified.
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