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

机译:选择性调度:控制智能电网环境中的非抢占设备

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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:直接负载控制一直是智能电网需求侧管理的高效且有效的负载控制机制。利用这种技术,通过中央公用事业管理和控制消费者的能耗设备,其主要目标是负载分析并降低峰值负荷需求。在本文中,我们占据了峰值负载约束下的调度问题,可控制设备,允许它们在各种能耗水平上运行。问题是一个唯一的歧管优化问题,在调度设备之前,我们需要为其选择特定的功耗水平,这将导致整体整理时间(延迟最小化)最小化。我们将这个问题模型成二维垃圾箱包装问题,并呈现数学编程配方,同时证明它是np-hard。我们已经使用IBM ILOG CPLEX优化求解器获得了20个设备的最佳解决方案。此外,已经使用了许多近似算法来快速获得解决方案。

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