Dynamic-Feature Extraction, Attribution and Reconstruction (DEAR) Method for Power System Model Reduction

Journal Article · Thu Sep 04 04:00:00 EDT 2014 · IEEE Transactions on Power Systems, 29(5):2049-2059

DOI:https://doi.org/10.1109/TPWRS.2014.2301032· OSTI ID:1159315

Wang, Shaobu; Lu, Shuai; Zhou, Ning; Lin, Guang; Elizondo, Marcelo A.; Pai, M. A.

In interconnected power systems, dynamic model reduction can be applied on generators outside the area of interest to mitigate the computational cost with transient stability studies. This paper presents an approach of deriving the reduced dynamic model of the external area based on dynamic response measurements, which comprises of three steps, dynamic-feature extraction, attribution and reconstruction (DEAR). In the DEAR approach, a feature extraction technique, such as singular value decomposition (SVD), is applied to the measured generator dynamics after a disturbance. Characteristic generators are then identified in the feature attribution step for matching the extracted dynamic features with the highest similarity, forming a suboptimal ‘basis’ of system dynamics. In the reconstruction step, generator state variables such as rotor angles and voltage magnitudes are approximated with a linear combination of the characteristic generators, resulting in a quasi-nonlinear reduced model of the original external system. Network model is un-changed in the DEAR method. Tests on several IEEE standard systems show that the proposed method gets better reduction ratio and response errors than the traditional coherency aggregation methods.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1159315
• Report Number(s): PNNL-SA-94038; KJ0401000
• Journal Information: IEEE Transactions on Power Systems, 29(5):2049-2059, Journal Name: IEEE Transactions on Power Systems, 29(5):2049-2059
• Country of Publication: United States
• Language: English

Related Subjects

Dynamic response
model reduction
orthogonal decomposition
feature extraction
power systems.