Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Generic Multi-output Spectral Representation Method for Uncertainty Propagation Analysis of Power System Dynamics
Author:
Affiliation:

1.Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China;2.Department of Electrical and Electronic Engineering, Shenzhen Research Institute, Research Centre for Grid Modernisation, International Centre of Urban Energy Nexus, Centre for Advances in Reliability and Safety, Research Institute for Smart Energy, and Policy Research Centre for Innovation and Technology, The Hong Kong Polytechnic University, Hong Kong, China

Fund Project:

This work was supported in part by the National Natural Science Foundation of China (No. 52077188), and in part by the Hong Kong Research Grant Council (No. 15208323).

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    Abstract:

    Realistic uncertainties of renewable energies and loads may possess complicated probability distributions and correlations, which are difficult to be characterized by standard probability density functions and hence challenge existing uncertainty propagation analysis (UPA) methods. Also, nonintrusive spectral representation (SR)-based UPA methods can only estimate system responses at each time point separately, which is time-consuming for analyzing power system dynamics. Thus, this paper proposes a generic multi-output SR (GMSR) method to effectively tackle the above limitations by developing the generic correlation transformation and multi-output structure. The effectiveness and superiority of GMSR in efficiency and accuracy are demonstrated by comparing it with existing SR methods.

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History
  • Received:June 09,2024
  • Revised:October 02,2024
  • Online: May 27,2025