A probabilistic load flow for unbalanced three-phase islanded microgrids using Unscented Transformation
Wesley Peres
Abstract
This paper proposes an Unscented Transformation-based Probabilistic Power Flow (UT-PPF) for unbalanced three-phase islanded microgrids. The UT-PPF approach considers the three-phase voltages expressed in polar coordinates, distributed generators’ droop control methods, and loads’ voltage and frequency dependence. Uncertainties of active and reactive power loads and wind generation are adequately treated by the UT-PPF, which has easy implementation and provides accurate results. Computational simulations are carried out using the 33-bus and 69-bus islanded microgrids. The proposed approach is promising compared with Monte Carlo Simulation regarding the accuracy and computational time criteria.
Topics & Concepts
Voltage droopControl theory (sociology)Probabilistic logicMonte Carlo methodAC powerTransformation (genetics)VoltageThree-phasePower (physics)Computer sciencePower flowWind powerMicrogridElectric power systemEngineeringVoltage sourceMathematicsElectrical engineeringControl (management)StatisticsPhysicsChemistryGeneBiochemistryQuantum mechanicsArtificial intelligenceMicrogrid Control and OptimizationOptimal Power Flow DistributionSmart Grid Energy Management