- Title
- A Hybrid estimation and identification method for online calculation of voltage-dependent load parameters
- Creator
- Kabiri, Mehdi; Amjady, Nima
- Date
- 2019
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/191312
- Identifier
- vital:17767
- Identifier
-
https://doi.org/10.1109/JSYST.2017.2789202
- Identifier
- ISSN:1932-8184
- Abstract
- This paper presents a hybrid estimation and identification (HEI) method for identifying the load model parameters of voltage-dependent loads along with estimating the system states. The parameters of voltage-dependent load models are identified using multiple snapshots consecutively gathered through supervisory control and data acquisition system. The proposed HEI method imposes no additional cost to the installed metering devices or communication network. Mathematical aspects of the proposed HEI method are analytically proved and a four-step approach is presented for implementing it. Comprehensive numerical experiments and statistical analysis are presented to demonstrate the effectiveness of the proposed method for both load model identification and state estimation.
- Publisher
- IEEE
- Relation
- IEEE systems journal Vol. 13, no. 1 (2019), p. 792-801
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright IEEE
- Subject
- Electric potential; Electronic devices; Estimation; Load; Load model identification; Load modeling; Mathematical model; Mathematical models; Noise measurement; Parameter estimation; Parameter identification; power application system (PAS); Power measurement; State estimation; Statistical analysis; Substations; Supervisory control; Supervisory control and data acquisition; Supervisory control and data acquisition (SCADA); 4010 Engineering practice and education
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