A Novel Method for Estimating the Region of Attraction for DC Microgrids via Brayton-Moser’s Mixed Potential Theory
Zhenxi Wu, Hua Han, Zhangjie Liu, Mei Su, Yao Sun, Xin Zhang, Peng Wang
Abstract
To avoid instability caused by abrupt load changes or contingencies, the region of attraction (ROA) estimation is significant for large-signal stability analysis of the power system. This letter proposes a novel method to estimate ROA of DC microgrids containing constant power loads (CPLs). Compared with the existing methods, an obvious advantage of the proposed method can reduce computations greatly, which is applicable to large-scale DC power grids. Finally, the feasibility of the proposed method is verified by case studies.
Topics & Concepts
Control theory (sociology)ComputationPower (physics)AttractionStability (learning theory)Electric power systemBrayton cycleComputer scienceScale (ratio)EngineeringPhysicsAlgorithmArtificial intelligenceLinguisticsQuantum mechanicsMachine learningControl (management)PhilosophyPower System Optimization and StabilityMicrogrid Control and OptimizationOptimal Power Flow Distribution