Abstract
In recent years, the ineffective utilization of power resources has attracted much attention. 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, which aims to transform the deferrable loads problem scheduling into a distributed optimal control problem. Then, to optimize the objective function, a real-time scheduling algorithm under power supply constraint is presented. At every time step, the purpose is to minimize the variance of differences between power supply and aggregate load. Finally, simulation examples are provided to illustrate the effectiveness of the proposed algorithm.
This work was supported by the National Natural Science Foundation of China under Project Code No. 61273075, No. 61304186.
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Kang, M., Wen, C., Wu, C. (2017). Real-Time Distributed Optimal Control Considering Power Supply Constraint for Deferrable Loads Scheduling. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2016. Communications in Computer and Information Science, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-5230-9_4
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DOI: https://doi.org/10.1007/978-981-10-5230-9_4
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