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Distributed cyber-physical algorithms for wide-area control of power systems

机译:用于电力系统广域控制的分布式网络物理算法

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With the number of Phasor Measurement Units (PMUs) in the North American power grid scaling up into the thousands, system operators are gradually inclining towards distributed cyber-physical architectures for executing wide-area monitoring and control operations using Synchrophasors. Traditional centralized approaches, in fact, are anticipated to become untenable soon due to various factors such as data volume, security against single point of failure, communication overhead, and failure to adhere to real-time deadlines. In this talk I will propose a distributed communication and computational architecture, and its associated distributed optimal control algorithms, for one of the most critical applications run by utility companies - namely, wide-area control of power flow oscillations following small-signal and large-signal disturbances in the grid. In this architecture, Synchrophasor data from PMUs located at the terminal buses of generators are first transmitted to the local control center for that particular balancing region, and thereafter to a set virtual computers in a local cloud computing network. Depending on the correlation between the generator states in terms of the modal content of the measured signals, a distributed communication strategy is chosen and established between these virtual computers in the cloud. A real-time model-predictive control design is then implemented using this distributed communication network, assuming synchronous communication. I will present simulations that highlight some interesting convergence and accuracy trade-offs for the real-time implementation of the wide-area controller, and also illustrate their architectural resiliency against denial-of-service and data-manipulation attacks using case studies from the recently federated DETER-WAMS testbed between NC State and University of Southern California.
机译:随着北美电网中的相量测量单位(PMU)的数量扩大到数千,系统运营商逐渐倾向于分布式网络物理架构,用于使用同步手术器执行广域监控和控制操作。事实上,传统的集中方法预计由于数据量等各种因素,抵御单点故障,通信开销以及未能遵守实时截止日期,因此预计会很快变得无法理解。在此谈话中,我将提出分布式通信和计算体系结构,以及其相关的分布式最优控制算法,是公用事业公司运行的最关键的应用之一 - 即小信号和大型电源流量振荡的广域控制网格中的信号干扰。在此架构中,从PMU的同步相数据位于发生器的终端总线在本地云计算网络被首先发送到该特定平衡区域中的局部控制中心,并在其后的一组虚拟计算机。根据测量信号的模态内容的发生器状态之间的相关性,选择分布式通信策略并在云中的这些虚拟计算机之间建立。然后使用该分布式通信网络实现实时模型预测控制设计,假设同步通信。我将介绍突出一些有趣的收敛性和准确性权衡的模拟,用于广域控制器的实时实施,并说明了利用最近的案例研究的拒绝服务和数据操纵攻击的建筑弹性联邦在南加州州立大学和大学之间试验到的瓦姆斯。

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