Nonintrusive Uncertainty Quantification of Dynamic Power Systems Subject to Stochastic Excitations

• Published in: IEEE transactions on power systems Vol. 36; no. 1; pp. 402 - 414
• Main Authors: Qiu, Yiwei, Lin, Jin, Chen, Xiaoshuang, Liu, Feng, Song, Yonghua
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive systems; Collocation methods; Differential equations; Dynamic response; Dynamic uncertainty quantification; Excitation; Itô process; Karhunen-Loève expansion; Mathematical model; Monte Carlo simulation; Performance indices; polynomial chaos; Polynomials; Power system dynamics; Probability distribution; Public utilities; Software; Statistical analysis; stochastic differential equations; stochastic excitations; Stochastic processes; System dynamics; Uncertainty

Continuous-time random disturbances (also called stochastic excitations) due to increasing renewable generation have an increasing impact on power system dynamics; However, except from the slow Monte Carlo simulation, most existing methods for quantifying this impact are intrusive , meaning they are...