Litcius/Paper detail

Coherency Identification for Wind-Integrated Power System Using Virtual Synchronous Motion Equation

Jiale Liu, Fei Tang, Junbo Zhao, Dichen Liu, Innocent Kamwa

2020IEEE Transactions on Power Systems27 citationsDOI

Abstract

This paper proposes a new model-based coherency identification method based on the virtual synchronous motion equation (VSME) of the doubly-fed induction generator (DFIG). The latter is derived by taking into account both the dynamic characteristics of the phase-locked loop (PLL) and the active power control model. The proposed VSME reveals the synchronization mechanism of the “virtual angle” and “internal voltage vector” for a wind-turbine-driven generator in mathematics and physics. This significant result allows us to treat the DFIG as a “synchronous machine” with appropriately derived equivalent inertia constant, phase-locked angle and synchronizing torque. Thanks to this formula, the slow-coherency aggregate model for the wind-integrated power system can be easily constructed. It further enables us to resort to the K-Means algorithm to identify coherent generators and investigate the impacts of control parameters on coherency properties. Comparison results with alternative measurement-based methods on the modified IEEE 39-bus and IEEE 118-bus systems demonstrate the effectiveness of the proposed method.

Topics & Concepts

SynchronizingPhase-locked loopControl theory (sociology)Wind powerElectric power systemSynchronization (alternating current)TurbinePermanent magnet synchronous generatorTorqueInertiaComputer scienceSynchronous motorControl engineeringEngineeringPower (physics)VoltageElectronic engineeringControl (management)Topology (electrical circuits)PhysicsElectrical engineeringThermodynamicsJitterMechanical engineeringClassical mechanicsArtificial intelligenceQuantum mechanicsPower System Optimization and StabilityWind Turbine Control SystemsPower Systems and Renewable Energy