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An Approximately Optimal Algorithm for Scheduling Phasor Data Transmissions in Smart Grid Networks

机译:一种近似优化的相量数据调度算法   智能电网中的传输

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摘要

In this paper, we devise a scheduling algorithm for ordering transmission ofsynchrophasor data from the substation to the control center in as short a timeframe as possible, within the realtime hierarchical communicationsinfrastructure in the electric grid. The problem is cast in the framework ofthe classic job scheduling with precedence constraints. The optimization setupcomprises the number of phasor measurement units (PMUs) to be installed on thegrid, a weight associated with each PMU, processing time at the control centerfor the PMUs, and precedence constraints between the PMUs. The solution to thePMU placement problem yields the optimum number of PMUs to be installed on thegrid, while the processing times are picked uniformly at random from apredefined set. The weight associated with each PMU and the precedenceconstraints are both assumed known. The scheduling problem is provably NP-hard,so we resort to approximation algorithms which provide solutions that aresuboptimal yet possessing polynomial time complexity. A lower bound on theoptimal schedule is derived using branch and bound techniques, and itsperformance evaluated using standard IEEE test bus systems. The schedulingpolicy is power grid-centric, since it takes into account the electricalproperties of the network under consideration.
机译:在本文中,我们设计了一种调度算法,用于在电网中的实时分层通信基础结构中,在尽可能短的时间内对从变电站到控制中心的同步信息的传输进行排序。这个问题是在具有优先约束的经典作业调度框架中提出的。优化设置包括要在电网上安装的相量测量单元(PMU)的数量,与每个PMU相关的权重,在PMU的控制中心处的处理时间以及PMU之间的优先级约束。 PMU放置问题的解决方案可产生要安装在电网上的PMU的最佳数量,而处理时间则是从预定义的集合中随机随机地选择的。假定每个PMU的权重和优先约束都已知。调度问题证明是NP难的,因此我们求助于近似算法,该算法提供次优但具有多项式时间复杂度的解决方案。使用分支和绑定技术得出最佳调度的下限,并使用标准IEEE测试总线系统评估其性能。调度策略以电网为中心,因为它考虑了所考虑网络的电气特性。

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