Online Estimation of Power System Inertia Constant Under Normal Operating Conditions

IEEE Access

Yingqi Liang¹  Junbo Zhang²  Siwei Huang²  Fanhong Zeng²  Ge Chen²  Zikun Wu² 

[1] Department of Electrical and Computer Engineering, National University of Singapore, Singapore;School of Electric Power, South China University of Technology, Guangzhou, China;

关键词: Inertia constant estimation;    ambient signals;    subspace identification;    step response;    sliding window;    exponential smoothing;   

DOI  :  10.1109/ACCESS.2020.2997728

来源: DOAJ

【 摘 要 】

An online estimation method for the power system inertia constant under normal operating conditions is proposed. First of all, a dynamic model relating the active power to the bus frequency at the generation node is identified in the frequency domain using ambient data measured with the phasor measurement units (PMUs). Then, the inertia constant at the generation node is extracted from the unit step response of the identified model in the time domain using the swing equation. Finally, with the sliding window method and the exponential smoothing method, the estimated inertia constant is updated in real-time. Compared to the conventional methods using large disturbance data or field test data, the proposed method can estimate the inertia constant under normal operating conditions, and therefore, can provide the tracking trajectory of the power system inertia constant in real-time. The effectiveness of the proposed method is validated in the IEEE 39-bus system. The results show that the relative error of the identified inertia constant is below 5% and the identified inertia constant can be updated within 1s.

【 授权许可】

Unknown