DocumentCode :
1248992
Title :
Improved Dynamic Load Model for Power System Stability Studies
Author :
Meyer, F.John ; Lee, Kwang Y.
Author_Institution :
Houston Lighting & Power Co., Houston, TX
Issue :
9
fYear :
1982
Firstpage :
49
Lastpage :
50
Abstract :
The behavior of the load model in power system stability studies has been shown by various investigators to be a very important factor in determining the stability of power system elements. Load models which are presently available in typical stability programs make it difficult if not impossible to model the actual dynamics of power system load. Present load models allow easy static representations, but require detailed individual dynamic models such as induction or synchronous motor models. Thus a simple load model that can represent power system composite load dynamics will be a valuable tool in the stability study Presented herein is a second order state space load model which can represent power system composite load dynamics. In addition, the parameters of this state space load model can be identified from actual system load measurements by a weighted least squares parameter identification process. Several authors recognized the significance of load behavior to changes in voltage as long as 25 years ago. However, most of the attention in stability studies has been directed toward improved generator and control system models. Until recently, little modeling has been considered necessary for power system loads since the effects of load models in stability studies were considered only secondary. At present the load representation in typical stability programs is limited to a static load model where the load is represented as constant MVA, constant current, constant impedance, or some combination of the three.
Keywords :
Least squares methods; Load modeling; Parameter estimation; Power system dynamics; Power system measurements; Power system modeling; Power system stability; State-space methods; Synchronous motors; Weight measurement;
fLanguage :
English
Journal_Title :
Power Engineering Review, IEEE
Publisher :
ieee
ISSN :
0272-1724
Type :
jour
DOI :
10.1109/MPER.1982.5519488
Filename :
5519488
Link To Document :
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