Model predictive control applied to the long-term hydrothermal scheduling of the Brazilian power system

2013 ◽  
Author(s):  
Monica S. Zambelli ◽  
Leonardo S. A. Martins ◽  
Secundino Soares
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
Predictive Control ◽  
Hydrothermal Scheduling

Long Term Voltage Stability Enhancement by Model Predictive Control

2012 ◽  
Vol 157-158 ◽  
pp. 1553-1557
Author(s):  
Pei Jia Yu ◽  
Ting Ting Jiang ◽  
Jing Zhang
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
New England ◽  
Predictive Control ◽  
Voltage Stability ◽  
Control Method ◽  
Proper Time ◽  
Time Instant ◽  
Load Shedding

Power system load shedding has been used as an emergency control method to prevent possible power system instability problems. In this paper, a model predictive control based load shedding scheme is proposed to enhance long term voltage stability of a power system. The main advantage of this method is the capability to handle control actions with proper time instant. A new cost function is defined for the model predictive control scheme. The proposed scheme is tested on the New England 39-bus system to validate its efficiency and effectiveness in preventing system long term voltage stability problems.

A Load Shedding Scheme for Long Term Voltage Stability Enhancement by Multi-Stage Model Predictive Control

2011 ◽  
Vol 383-390 ◽  
pp. 4735-4741
Author(s):  
Yu He ◽  
Jing Zhang ◽  
Zhi Wei Peng ◽  
Zhao Yang Dong
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
New England ◽  
Predictive Control ◽  
Voltage Stability ◽  
Control Method ◽  
Load Shedding ◽  
Stage Model ◽  
Multi Stage

Power system load shedding has been used as an emergency control method to prevent possible power system instability problems. In this paper, a new multi-stage model predictive control based load shedding scheme is proposed to enhance long term voltage stability of a power system. The main advantage of this new method is the capability of the scheme to handle multi-stage control actions, which may also be disturbances to a power system at a critical status toward instability. A new cost function is defined for the model predictive control scheme. The proposed scheme is tested on the New England 39-bus system to validate its efficiency and effectiveness in preventing system long term voltage stability problems.

Wide-area Power System Oscillation Damping using Model Predictive Control Technique

2011 ◽  
Vol 131 (7) ◽  
pp. 536-541 ◽  
Author(s):  
Tarek Hassan Mohamed ◽  
Abdel-Moamen Mohammed Abdel-Rahim ◽  
Ahmed Abd-Eltawwab Hassan ◽  
Takashi Hiyama
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
Predictive Control ◽  
Wide Area ◽  
Control Technique ◽  
Oscillation Damping

Probabilistic model predictive control for extended prediction horizons

2021 ◽  
Vol 69 (9) ◽  
pp. 759-770
Author(s):  
Tim Brüdigam ◽  
Johannes Teutsch ◽  
Dirk Wollherr ◽  
Marion Leibold ◽  
Martin Buss
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Prediction Models ◽  
Computational Effort ◽  
Probabilistic Constraints ◽  
Detailed Model ◽  
Control Approach ◽  
Proposed Model ◽  
Sampling Times

Abstract Detailed prediction models with robust constraints and small sampling times in Model Predictive Control yield conservative behavior and large computational effort, especially for longer prediction horizons. Here, we extend and combine previous Model Predictive Control methods that account for prediction uncertainty and reduce computational complexity. The proposed method uses robust constraints on a detailed model for short-term predictions, while probabilistic constraints are employed on a simplified model with increased sampling time for long-term predictions. The underlying methods are introduced before presenting the proposed Model Predictive Control approach. The advantages of the proposed method are shown in a mobile robot simulation example.

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