Abstract
An adaptive critic design (ACD) based dynamic optimal power flow control (DOPFC) is proposed in this paper as a solution to the smart grid operation in a high short-term uncertainty and variability environment. with the increasing penetration of intermittent renewable generation, power system stability and security need to be ensured dynamically as the system operating condition continuously changes. the proposed DOPFC dynamically tracks the power system optimal operating point by continuously adjusting the steady state set points from the traditional OPF algorithms. the ACD technique, specifically the dual heuristic dynamic programming (DHP), is used to provide nonlinear optimal control, where the control objective is formulated explicitly to incorporate system operation economy, stability and security considerations. a 12-bus test power system is used to demonstrate the development and effectiveness of the proposed ACD-Based DOPFC using recurrent neural networks. © 2011 IEEE.
Recommended Citation
J. Liang et al., "Adaptive Critic Design based Dynamic Optimal Power Flow Controller for a Smart Grid," IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIASG 2011: 2011 IEEE Symposium on Computational Intelligence Applications in Smart Grid, pp. 17 - 24, article no. 5953340, Institute of Electrical and Electronics Engineers, Aug 2011.
The definitive version is available at https://doi.org/10.1109/CIASG.2011.5953340
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Adaptive critic designs; dynamic optimal power flow control; neurocontrol; power system wide-area control; recurrent neural networks; smart grid
International Standard Book Number (ISBN)
978-142449894-9
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
17 Aug 2011
