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| Research on Networked AGC System Based on Delay Model Predictive Control Algorithm |
| Fu Pengwu1,2, Zhou Niancheng1, Wang Qianggang1, Lu Wei3 |
1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing 400044 China;
2.Loudi Power Supply Bureau of State Grid, Loudi 417000 China;
3.Anhui Electric Power Research Institute, Hefei 230022 China |
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Abstract Random communication delay and packet loss problems make networked automatic generation control(AGC) system become difficulty. A networked AGC system based on delay model predictive control(MPC) is proposed in this paper. In the proposed method, the power system delay dynamic state equation that considered communication delay is used as the MPC predictive model and the optimal weighting algorithm is applied to predict the communication delay. The paper also adds the incremental value of predictive outputs to the rolling optimization goals, which reduces unnecessary adjustment times of the unit. Besides utilizing MPC controller’s multi-steps predictive function, a buffer is installed on the actuator of the unit, which stores the control variables’ prediction sequences as backup suboptimal control signal when the WAN occasional packets lost. Through the simulation analysis of the networked AGC system of two-area interconnected grid, the results show that the proposed control method can ensure the network AGC system perform excellent dynamic response. And it is also indicated that the method has good adaptability and strong robustness to the communication delay variation.
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Received: 27 July 2012
Published: 27 June 2014
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2014, Vol. 29 
