Algorithms for fault tolerance in emerging smart power grids

新兴智能电网的容错算法

• 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

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.

容忍故障计算在当今世界中起着重要作用。容错可防止系统故障，并旨在确保系统尽管存在故障和错误，但仍能提供所需的服务。在过去的二十年中，我们将计算机网络的演变视为通信和计算世界的合并。一个例子是新兴的智能电网。当物理功率系统中的传输线或分配馈线等节点失败，并且其功率负载传递给另一个局部节点时，级联故障发生在电网中，这会导致过载，从而导致级联效应。传统的电网几乎没有防止级联故障的保护。随着对电力的需求的增加，潜在的电网无法支撑偶尔增加负载可能导致更多停电。例如，2003年的停电影响了5500万人，并导致256家发电厂脱机。智能能源和故障管理可以识别失败，断开某些工厂，分发功率负载和决策过程，并诉诸岛屿，并隔离出传入或传出断层。该项目的目的是为电网拓扑和级联故障开发更好的分析模型，这将帮助我们设计未来的拓扑以限制级联级联故障。