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Volume 5 Issue 2
Mar.  2018

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2018  >  5(2): 471-478
Mengya Kang, Chenglin Wen and Chenxi Wu, "A Model Predictive Scheduling Algorithm in Real-Time Control Systems," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 471-478, Mar. 2018. doi: 10.1109/JAS.2017.7510826
Citation: Mengya Kang, Chenglin Wen and Chenxi Wu, "A Model Predictive Scheduling Algorithm in Real-Time Control Systems," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 471-478, Mar. 2018. doi: 10.1109/JAS.2017.7510826
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A Model Predictive Scheduling Algorithm in Real-Time Control Systems

doi: 10.1109/JAS.2017.7510826

  • School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China

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    Abstract
  • The ineffective utilization of power resources has attracted much attention in current years. This paper proposes a real-time distributed load scheduling algorithm considering constraints of power supply. Firstly, an objective function is designed based on the constraint, and a base load forecasting model is established when aggregating renewable generation and non-deferrable load into a power system, which aims to transform the problem of deferrable loads scheduling into a distributed optimal control problem. Then, to optimize the objective function, a real-time scheduling algorithm is presented to solve the proposed control problem. At every time step, the purpose is to minimize the variance of differences between power supply and aggregate load, which can thus ensure the effective utilization of power resources. Finally, simulation examples are provided to illustrate the effectiveness of the proposed algorithm.

     

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