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Algorithms for fault tolerance in emerging smart power grids

新兴智能电网的容错算法

基本信息

批准号：
170013-2013
负责人：
Nayak, Amiya
金额：
$ 1.82万
依托单位：
University of Ottawa
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2017
资助国家：
加拿大
起止时间：
2017-01-01 至 2018-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634369
关键词：
Algorithms fault tolerance emerging smart

项目摘要

Fault-tolerant computing plays an important role in today's world. Fault tolerance prevents system failures and is intended to ensure that the system delivers the required service in spite of faults and errors. In the past two decades, we have seen the evolution of computer networks as a merger of the communication and computing worlds. One example is the emerging smart power grids. Cascading failures occur in the power grid when nodes such as transmission lines or distribution feeders in the physical power system fail and their power load is passed to another local node which can result in overload, resulting in cascading effects. Conventional power grids provide very little protection against cascading failures. As demand for power increases, potential inability of the power grid to support the occasional increased load could lead to more blackouts. The blackout of 2003, for example, affected 55 million people and caused 256 power plants to go offline. Intelligent energy and fault management can identify failure, disconnect certain plants, distribute power load and decision making processes, and resort to islanding and isolation from either incoming or outgoing faults. The goal of this project is to develop better analytical models for power grid topologies and cascading failures which will help us design future topologies to limit power cascading failures.

容错计算在当今世界中扮演着重要的角色。容错防止系统故障，旨在确保系统在出现故障和错误的情况下仍能提供所需的服务。在过去的二十年里，我们已经看到计算机网络的演变是通信和计算世界的融合。新兴的智能电网就是一个例子。级联故障发生在电网中，是指物理电力系统中的输电线路或配电馈线等节点发生故障，将其电力负荷传递给另一个局部节点，造成过载，从而产生级联效应。传统的电网对级联故障提供的保护很少。随着电力需求的增加，电网可能无法支持偶尔增加的负荷，这可能导致更多的停电。例如，2003年的大停电影响了5500万人，导致256家发电厂停运。智能能源和故障管理可以识别故障，断开某些工厂的连接，分配电力负载和决策过程，并采用隔离和隔离输入或输出故障的方法。该项目的目标是为电网拓扑和级联故障开发更好的分析模型，这将有助于我们设计未来的拓扑来限制电力级联故障。