Discrete Empirical Interpolation Method Based Dynamic Load Model Reduction

Conference · Mon Dec 20 04:00:00 EST 2021

DOI:https://doi.org/10.1109/PESGM46819.2021.9637933· OSTI ID:1847861

Duan, Nan; Zhao, Junbo; Chen, Xiao; Wang, Bin; Wang, Song

Dynamic load models add significant complexity to bulk power system time-domain simulations. The complexity is due to the large number of ordinary differential equations (ODEs) introduced by the dynamic load components such as induction motors. It is challenging to derive reduced-order models (ROMs) for dynamic loads due to the nonlinear functions in their governing equations. This paper applies the discrete empirical interpolation method enhanced proper orthogonal decomposition (DEIM-POD) to approximate the full dynamic load model with the ROM that minimizes the projection error of the nonlinear functions in dynamic load ODEs onto their dominant modes. This approach only requires evaluation of nonlinear functions at selected observation points. The observation points selected by DEIM also provide information for screening critical load buses where dynamic load model parameters contribute the most to the accuracy of ROM across multiple contingencies. The proposed approach is validated on IEEE 9-bus, WECC 179-bus and 2384-bus Polish systems.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Electricity, Advanced Grid Modeling Program
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1847861
• Report Number(s): NREL/CP-5D00-78356; MainId:32273; UUID:024ac3de-957a-4232-a4ec-afd9d2313067; MainAdminID:22335
• Country of Publication: United States
• Language: English

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
bulk power system
dynamic load model
nonlinear function
ordinary differential equation
reduced-order model
time-domain simulation