Composite Neural Network Load Models for Power System Stability Analysis
作者:
Ali Keyhani, Fellow, IEEE, Wenzhe Lu, Student Member, IEEE, Gerald T. Heydt, Fellow, IEEE
所属专业方向:
power system
摘要:
Abstract — Proper load models are essential to power system
stability analysis. This paper proposes a methodology for the
development of neural network (NN) based composite load mod-
els for power system stability analysis. A two-step modeling pro-
cedure is proposed. First knowledge is acquired from a test bed
of power systems based on detail load models of a bus to the dis-
tribution level. Then, the test bed data is used to develop a com-
posite NN model. The developed NN model is updated based on
measurements. A case study on a power inverter controling an
induction motor load is presented.
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发表于 2008-2-4 17:21:04
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