Optimal control for deferrable loads scheduling under the constraint of electricity supply

Mengya Kang, Chenglin Wen, Diju Gao
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Abstract

In this paper, we propose a distributed optimal control algorithm for deferrable loads scheduling under the constraint of electricity supply in power systems, which can make the aggregate load approach the planning electricity supply as close as possible. The problem of deferrable loads scheduling is transformed into an optimal control problem firstly. Then we propose ODC-S algorithm to adapt the case that the constraint of electricity supply is considered. The objective function is designed according to the control problem to schedule deferrable loads, represented by electric vehicles, and we aim to minimize the variance of differences between electricity supply and aggregate load as well as to keep the fluctuations of the differences at a minimum level, which can ensure the effective utilization of power resources in electricity market, and can also maintain the stability of power systems. Finally, simulation examples are given to illustrate the effectiveness of the proposed algorithm.
电力供应约束下可延负荷调度的最优控制
针对电力系统中电力供应约束下的可延期负荷调度问题,提出了一种分布式最优控制算法,使总负荷尽可能接近规划电力供应。首先将可延负荷调度问题转化为最优控制问题。然后提出了ODC-S算法,以适应考虑电力供应约束的情况。根据控制问题设计目标函数,对以电动汽车为代表的可延迟负荷进行调度,使电力供应差值与总负荷差值的方差最小,并使差值的波动保持在最小的水平,既能保证电力市场中电力资源的有效利用,又能保持电力系统的稳定。最后,通过仿真实例验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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