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Selective scheduling: Controlling non-preemptive devices in smart grid environment

机译:选择性调度:在智能电网环境中控制非抢占式设备

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Direct load control has been an efficient and effective load control mechanism under demand side management in smart grid. With this technique, consumers' energy consuming appliances are managed and controlled by central utility with the primary objective of load profiling and to reduce peak load demand. In this paper, we take up the problem of scheduling under peak load constraint for controllable appliances that allows them to be run on various energy consumption levels. The problem is a unique manifold optimization problem where before scheduling a device, we are required to select a specific power consumption level for it that would result in minimizing overall finishing time (delay minimization). We model this problem into two-dimensional bin packing problem and present mathematical programming formulation, while proving it to be NP-hard. We have obtained optimum solutions for 20 numbers of appliances using IBM ILOG CPLEX optimization solver. Further a number of approximation algorithms have been used to obtain solutions quickly.
机译:在智能电网的需求侧管理下,直接负载控制已成为一种高效有效的负载控制机制。通过这种技术,消费者的耗能设备由中央公用事业公司进行管理和控制,其主要目标是进行负荷分析并减少峰值负荷需求。在本文中,我们讨论了可控设备在峰值负载约束下的调度问题,该问题使它们可以在各种能耗级别上运行。这个问题是一个独特的流形优化问题,在调度设备之前,我们需要为其选择特定的功耗级别,这将导致整体精加工时间(延迟最小化)最小化。我们将此问题建模为二维装箱问题,并提出数学编程公式,同时证明它是NP难的。我们已经使用IBM ILOG CPLEX优化求解器为20种设备获得了最佳解决方案。此外,许多近似算法已用于快速获得解。

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