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Virtual Resistance Tradeoff Design for DCMG Grid-Forming Converters Considering Static- and Large-Signal Dynamic Constraints

Wenqiang Xie, Minxiao Han, Wenyuan Cao, Josep M. Guerrero, Juan C. Vásquez

2020IEEE Transactions on Power Electronics22 citationsDOIOpen Access PDF

Abstract

This article brings forward a design method of virtual resistance for droop-controlled dc microgrids (DCMGs). Although droop control is widely employed in coordinated DCMGs to coordinate different energy sources, few works address thoroughly the principles for a proper virtual resistance design. In this article, dynamic stability and static voltage deviation constraints are taken into consideration as the main criteria to be complied with by the virtual resistance design. In critical cases, constant power loads (CPLs) may substantially decrease system damping and adversely affects the stability of the system. In this sense, the large-signal stability model is developed including CPLs by using the Lyapunov function, and it is subsequently analyzed to infer the stability criterion. Theoretically, bus voltage is the most important index when addressing the DCMG control; hence, the impact of virtual resistance on the voltage deviation is explored as well. The research presented in this article finds out that virtual resistance influence on system stability is opposite to that on voltage deviation; thus, a tradeoff method based on the containment principle is developed. Throughout the proposed compromised design, we can adjust the weight coefficient to satisfy different performance requirements of DCMGs. The effectiveness of the proposed scheme is validated through experimental results.

Topics & Concepts

Voltage droopControl theory (sociology)Stability (learning theory)VoltageComputer scienceSIGNAL (programming language)GridConvertersPower (physics)EngineeringVoltage regulatorControl (management)MathematicsPhysicsArtificial intelligenceMachine learningGeometryProgramming languageElectrical engineeringQuantum mechanicsMicrogrid Control and OptimizationIslanding Detection in Power SystemsSmart Grid Energy Management