Two-Stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach

With the increasing complexity of modern power system, conventional dynamic load modeling with ZIP and induction motors (ZIP + IM) is no longer adequate to address the current load characteristic transitions. In recent years, the Western Electricity Coordinating Council Composite Load Model (WECC CL...

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Bibliographic Details
Published in:	IEEE transactions on smart grid Vol. 11; no. 5; pp. 4331 - 4344
Main Authors:	Wang, Xinan, Wang, Yishen, Shi, Di, Wang, Jianhui, Wang, Zhiwei
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.09.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Complexity Computer simulation Contingency DDQN deep reinforcement learning Dynamic loads Dynamic stability Electric power systems Electrical loads Induction motors load component identification Load management Load modeling Machine learning Mathematical models measurement-based Modelling Monte Carlo simulation Parameter identification Power system dynamics Power system stability Stability analysis Substations Transient analysis
ISSN:	1949-3053, 1949-3061
Online Access:	Get full text
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