Comparison of centralized, distributed and hierarchical model predictive control schemes for electromechanical oscillations damping in large-scale power systems

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• 作者：Da Wang ; Mevludin Glavic ; Louis Wehenkel ; ^{l.wehenkel@ulg.ac.be" class="auth_mail}
• 关键词：Model predictive control ; Electromechanical oscillations damping ; Wide-area measurement systems
• 刊名：International Journal of Electrical Power and Energy Systems
• 出版年：June, 2014
• 年：2014
• 卷：58
• 期：Complete
• 页码：32-41
• 全文大小：1113 K

文摘

The paper investigates the feasibility of applying Model Predictive Control (MPC) as a viable strategy to damp wide-area electromechanical oscillations in large-scale power systems. First a fully centralized MPC scheme is considered, and its performances are evaluated first in ideal conditions and then by considering state estimation errors and communication delays. This scheme is further extended into a distributed scheme with the aim of making it more viable for very large-scale or multi-area systems. Finally, a robust hierarchical multi-area MPC scheme is proposed, introducing a second layer of MPC based controllers at the level of individual power plants and transmission lines. Simulations are carried out using a 70-bus test system. The results reveal all three MPC schemes as viable solutions to supplement existing controllers in order to improve the system performance in terms of damping. The hierarchical scheme is the one combining the best performances in nominal conditions and the best robustness with respect to partial component failures and various modeling and measurement errors.