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Adaptive Master-Slave Control Strategy for Medium Voltage DC Distribution Systems Based on a Novel Nonlinear Droop Controller

Xingfeng Xie, Xiangjun Quan, Zaijun Wu, Xiaoyong Cao, Xiaobo Dou, Qinran Hu

2021IEEE Transactions on Smart Grid33 citationsDOI

Abstract

To ensure accurate active power-sharing and an improved dynamic response to DC voltages in a medium voltage DC distribution system (MVDCDS), this paper presents an adaptive master-slave (AMS) control strategy based on a novel nonlinear droop (ND) controller. This ND controller, which is based on an improved sigmoid nonlinear function, is applied to the slave converter stations. An improved sigmoid function is designed to achieve a continuous and nonlinear droop curve. Through use of the proposed ND controller, the proposed AMS strategy can achieve seamless switching between the master-slave control and droop control modes automatically. Consequently, the AMS control strategy not only guarantees precise control of the active power in the steady state but also allows a superior dynamic performance to be achieved in the transient state, during which the system suffers from both large-scale disturbances and communication failures. The effectiveness and superiority of the proposed AMS control strategy are illustrated by theoretical analyses and validated by performing hardware-in-the-loop (HIL) tests in a ±10 kV MVDCDS.

Topics & Concepts

Voltage droopControl theory (sociology)Controller (irrigation)Sigmoid functionNonlinear systemEngineeringVoltageComputer scienceControl engineeringAdaptive controlTransient (computer programming)Voltage regulatorControl (management)Electrical engineeringBiologyOperating systemArtificial intelligenceMachine learningQuantum mechanicsAgronomyPhysicsArtificial neural networkHVDC Systems and Fault ProtectionMicrogrid Control and OptimizationPower System Optimization and Stability
Adaptive Master-Slave Control Strategy for Medium Voltage DC Distribution Systems Based on a Novel Nonlinear Droop Controller | Litcius