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Developing and applying load model identification software to Taiwan power system
Conference paper

Developing and applying load model identification software to Taiwan power system

Sheng-Huei Lee, Chia-Chi Chu, Jin-Shyr Yang, Guan-Chih Pu, Ching-Jung Liao, Shu-Min Hsu and Yu-Jen Lin
2017 IEEE Industry Applications Society Annual Meeting, IAS 2017, Vol.2017-January, pp.1-8
11/2017
DOI: https://doi.org/10.1109/TIA.2018.8101872

Abstract

Measurement- based load modelling Parameters estimation Power system load model System identification Taiwan power system Industrial and Manufacturing Engineering Control and Optimization Energy Engineering and Power Technology Control and Systems Engineering Electrical and Electronic Engineering
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.

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