Abstract
This paper presents the procedures of developing a load modelling software called LM-ID (Load Model Identification), and also describes the procedures of applying the LM-ID to Taiwan power system. LM-ID can identify five static load models and seven dynamic load models. Numerical approaches to estimating load model parameters are analytical and iterative ones. LM-ID uses the least linear square error for the former and the Levenberg-Marquadt optimisation for the latter. We have applied the developed software LM-ID to 11 key substations in Taiwan power system and estimated load models' parameters. Experience on applying LM-ID to identify practical power systems load models is drawn and discussed in this paper.
Original language | English |
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Title of host publication | 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-8 |
Number of pages | 8 |
ISBN (Electronic) | 9781509048946 |
DOIs | |
State | Published - 08 11 2017 |
Externally published | Yes |
Event | 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 - Cincinnati, United States Duration: 01 10 2017 → 05 10 2017 |
Publication series
Name | 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 |
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Volume | 2017-January |
Conference
Conference | 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 |
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Country/Territory | United States |
City | Cincinnati |
Period | 01/10/17 → 05/10/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Measurement- based load modelling
- Parameters estimation
- Power system load model
- System identification
- Taiwan power system