4.4 Article

Unbalanced harmonic power sharing and voltage compensation of microgrids using radial basis function neural network-based harmonic power-flow calculations for distributed and decentralised control structures

期刊

IET GENERATION TRANSMISSION & DISTRIBUTION
卷 12, 期 7, 页码 1518-1530

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2016.1277

关键词

compensation; distributed power generation; radial basis function networks; load flow; distributed control; decentralised control; hierarchical systems; harmonics suppression; power supply quality; power system stability; feedforward; IEEE standards; reactive power; neurocontrollers; time-domain analysis; digital simulation; control engineering computing; unbalanced harmonic power sharing; microgrids voltage compensation; radial basis function neural network-based harmonic power-flow calculations; distributed control structures; decentralised control structures; hierarchical control scheme; multidistributed energy resources microgrid; DER microgrid; nonlinear loads; point of common coupling; voltage harmonic reduction; PCC; power quality improvement; complementary control loop; small; large-signal stability enhancement; harmonic virtual impedance scheme; fundamental virtual impedance scheme; positive sequence; negative sequence; IEEE standards; line current feed-forward; virtual impedance regulate; harmonic frequencies; harmonic power calculation; nonlinear mapping capability; reactive power; voltage harmonics; active powers; offline time-domain simulation; MATLAB; Simulink software; OPAL-RT real-time digital simulator

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A new hierarchical control scheme is proposed to improve power sharing of multi-distributed energy resources (DERs) microgrids including non-linear and unbalanced loads. The electronically coupled DERs are responsible to perform the harmonic and unbalance compensation to reduce the voltage harmonics at the point of common coupling (PCC) and improve power quality. The proposed scheme uses a complementary control loop for small/large-signal stability enhancement, and moreover exploits new concept for fundamental and harmonic virtual impedance scheme for positive and negative sequences based on IEEE standards. Compared to conventional virtual impedance methods that add only line current feed-forward terms to the voltage reference, here, the line current and voltage at the PCC regulate the virtual impedance at fundamental and harmonic frequencies, respectively. So, mismatches in the feeder and line impedances are compensated. Also, a harmonic power calculation is presented based on the non-linear mapping capability of radial basis function neural networks to obtain voltage harmonics and active and reactive powers for balanced/unbalanced operation modes. To show the effectiveness of the proposed control scheme, offline time-domain simulation studies have been performed on a sample microgrid using MATLAB/Simulink software and OPAL-RT real-time digital simulator for verification.

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