Optimal Feedback Excitation Decentralized Coordinated Control Model of Multi-Machine Power System

2013 ◽  
Vol 433-435 ◽  
pp. 1343-1346
Author(s):  
Xun Cheng Huang ◽  
Huan Qi ◽  
Xiao Pan Zhang ◽  
Li Fang Lu ◽  
Yang Yu Hu

A new model based on optimal feedback gain has been proposed for the power system decentralized control. In this model, the block gain coefficient has been optimized to achieve excitation decentralized coordinated control of the multi-machine power system. The simulation of the Henan Yudong grid verified the effectiveness of the control strategy.

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaofang Kang ◽  
Jian Wu ◽  
Yewei Zhang ◽  
Guoliang Liu ◽  
Suhui Zhang ◽  
...  

A decentralized control strategy can effectively solve the control problem of the large-scale time delayed structures. In this paper, combining the overlapping decentralized control method, linear matrix inequality (LMI) method, and H∞ control algorithm, overlapping decentralized H∞ control approach of the time delayed structures has been established. The feedback gain matrixes of all subsystems are obtained by this method based on genetic algorithm optimization tools and the specific goal of optimization control. The whole vibration control system of the time delayed structures is divided into a series of overlapping subsystems by overlapping decentralized control strategy. The feedback gain matrixes of each subsystem can be obtained by using H∞ control algorithm to calculate each subsystem. The vibration control of a twenty layers’ antiseismic steel structure Benchmark model was analyzed with the numerical method. The results show that the proposed method can be applied to control system with time delay. The overlapping decentralized control strategies acquire the similar control effects with that of the centralized control strategy. Moreover, the flexibility of the controller design has been enhanced by using overlapping decentralized control strategies.


2015 ◽  
Vol 738-739 ◽  
pp. 267-270
Author(s):  
Xiu Yun Li ◽  
Tong Zhou ◽  
Yan Jun Ren ◽  
Yu Xuan Li

Based on the pioneer work of Konishi et al, an improved coupled-map car-following model is proposed by considering the effect of information about two preceding vehicles to the considered one. The stable conditions under which the traffic jam can be suppressed are analyzed by applying control theory. The results are compared with that of Konishi et al. The simulation results show that the new model with the control strategy could suppress the traffic jam more effectively.


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