Details

Autor(en) / Beteiligte

• Lv, Jiaqing
• Pawlak, Mirosław
• Annakkage, U.D.
• Bagen, Bagen

Titel

Statistical testing for load models using measured data

Ist Teil von

• Electric power systems research, 2018-10, Vol.163, p.66-72

Ort / Verlag

Amsterdam: Elsevier B.V

Erscheinungsjahr

2018

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This paper applies the statistical testing theory to examine the validity of different load parametric models. Traditionally measurement-based static load modeling has been performed based on a single parametric model. Commonly utilized models include: ZIP (constant-impedance–constant-current–constant-power) model, exponential model, and frequency component adjusted ZIP/exponential models. It has been conjectured that the models making use of the frequency feature should be better compared to the ones purely based on the voltage component. However, there has not been any theoretical-based justification to confirm this claim. It is a goal of this paper to provide a formal method for verifying this claim by employing the theory of statistical testing for correct parametric model specification. In particular, a class of F-tests for checking the correctness of the specific load model is employed. Our methodology is verified on the real phasor measurement unit (PMU) data describing a radial load in the Manitoba Hydro power system. The obtained results confirm the usefulness of the frequency component based models.