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Predictive control for voltage collapse avoidance using a modified discrete multi-valued PSO algorithm
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DOI：10.1016/j.isatra.2010.12.006.png)
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Voltage stability is one of the most challenging concerns that power utilities are confronted with, and this paper proposes a voltage control scheme based on Model Predictive Control (MPC) to overcome this kind of instability. Voltage instability has a close relation with the adequacy of reactive power and the response of Under Load Tap Changers (ULTCs) to the voltage drop after the occurrence of a contingency. Therefore, the proposed method utilizes reactive power injection and tap changing to avoid voltage collapse. Considering discrete nature of the changes in the tap ratio and also in the reactive power injected by capacitor banks, the search area for the optimizer of MPC will be an integer area; consequently, a modified discrete multi-valued Particle Swarm Optimization (PSO) is considered to perform this optimization. Simulation results of applying the proposed control scheme to a 4-bus system confirm its capability to prevent voltage collapse. (C) 2010 ISA. Published by Elsevier Ltd. All rights reserved.
Keyword:
Model predictive control
Particle swarm optimization
Power system
Voltage stability
Trajectory sensitivity
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