Continuous-Time Stochastic State-Space Modeling of Non-Stationary Power System Uncertainty: A Data-Driven Systematic Realization Method
Release time:2025-01-10
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Impact Factor:7.6
DOI number:10.1109/TPWRS.2024.3397532
Affiliation of Author(s):南航
Journal:IEEE Transactions on Power Systems
Abstract:This paper proposes a systematic stochastic state-space modeling method for imposing desired statistics of actual measured data of arbitrary non-stationary power system uncertainty. We solve the difficulties of accurately modeling various stochastic uncertainties including complex behaviors in power systems such as the anomalous jumps of power oscillations through developing two theorems and four algorithms. The validity of proposed scheme is verified by performing simulations using real wind speed data, electricity consumption data, and hydropower data.
Indexed by:Journal paper
Discipline:Engineering
Document Type:J
Volume:40
Issue:1
Page Number:1037-1048
Translation or Not:no
Date of Publication:2025-01-10
Included Journals:EI、SCI、SCIE
First Author:Wan Yong
