EFRI: Resilient and Sustainable Interdependent Electric Power and Communications Systems

主要研究者姓名：Lamine Mili机构：弗吉尼亚理工学院&州立大学提案编号：0835879职务：EFRI-树脂：弹性和可持续的相互依赖的电力和通信系统该奖项是竞争的结果，作为研究和创新的新兴前沿（NSF 07-579）计划征集的一部分，子主题为弹性和可持续的可持续建筑结构（树脂）。 该项目的目标是开发复杂系统的理论和方法，旨在建模，评估和再造可持续的相互依赖的电力和通信基础设施的灾难性故障和自然灾害的弹性。目前，电力系统的监测、保护和控制严重依赖于基于计算机的通信网络。 因此，一个基础设施的故障可能影响另一个基础设施的运作。 本研究将调查这些相互依赖性对这两个基础设施的脆弱性的影响。 它将建议如何使它们对预期和意外的故障和自然灾害更具灵活性和弹性，同时使能源供应可持续，对环境的危害较小。 在此基础上，开发了关于重要基础设施风险管理的新的研究生课程。研究的一个方面是将高度优化容差（HOT）方法的范围和适用性扩展到相互依赖的电力和通信基础设施的连锁故障建模。 HOT方法以前用于只涉及单一类型事件的模型，并假设任何多个相同类型的事件都是独立的。 本项目将扩展HOT，开发一个风险函数，不仅涉及几种类型的事件，而且还涉及相关事件，以分析相互依赖的电力和通信系统。 为了解决可持续性问题，该研究将调查使用可再生和化石分布式发电和储能系统提供的微电网。 先前的研究已经表明，微电网类型的配电系统更有弹性，例如更少受到系统范围故障的影响，并且更可持续。 这是由于可以提供一系列适当的激励措施，以鼓励客户参与节能计划，并同意在紧急情况下快速甩负荷，以确保电网的生存能力。 除了HOT之外，该项目的另一部分研究将调查财务影响和所需的激励措施，以从资源、环境和社会经济的角度解决弹性和可持续性问题。该项目将使用来自巴西南部电力和通信系统故障以及北美电力可靠性理事会的现有数据。 该项目将开发可持续性评估框架（SAF）的理论基础，该框架使用两类定量措施：可持续性指标和总成本函数。 所开发的SAF方法将依赖于能量的概念，该概念测量可转化为功的有效能量。

PI name: Lamine MiliInstitution: Virginia Polytechnic Institute & State UniversityProposal Number: 0835879Title: EFRI-RESIN: Resilient and Sustainable Interdependent Electric Power and Communications SystemsThis award is an outcome of the competition as part of the Emerging Frontiers in Research and Innovation (NSF 07-579) program solicitation under the subtopic Resilient and Sustainable Infrastructures (RESIN). The goal of this project is to develop complex systems theories and methods aimed at modeling, assessing, and reengineering the resiliency of sustainable interdependent electric power and communications infrastructures to catastrophic failures and natural hazards. Currently, the monitoring, protection, and control of electric power systems rely heavily on computer-based communications networks. Consequently, the failure of one infrastructure can affect the functioning of the other. This research will investigate the impact that these interdependencies have on the vulnerabilities of both infrastructures. It will suggest ways to make them more agile and resilient to anticipated and unanticipated failures and natural hazards while making the energy supply sustainable and less harmful to the environment. A new graduate course on risk management of critical infrastructures based on research results will be developed.One facet of the research is to extend the scope and applicability of the Highly Optimized Tolerance (HOT) approach to modeling cascading failures across interdependent electric power and communications infrastructures. The HOT method has previously been used with models involving only a single type of event and assumes that any multiple events of the same type are independent. This project will extend HOT to develop a risk function that involves not only several types of events but also dependent events to analyze the interdependent power and communication systems. To address the sustainability issue, the research will investigate the use of microgrids supplied with renewable and fossil distributed generation and energy storage systems. Previous research has suggested that a microgrid type of power distribution system is more resilient, e.g. less subject to a system wide failure, and more sustainable. This is due to a collection of appropriate incentives that can be provided to encourage customers to participate in energy conservation programs and to agree to rapid load shedding during emergency conditions to ensure grid survivability. In addition to HOT, another part of the research of this project will be to investigate financial impacts and required incentives to address resiliency and sustainability from the resource, environment and socioeconomic points of view.The project will use existing data from failures in the Southern Brazilian power and communications systems and from the North American Electric Reliability Council. The project will develop the theoretical foundations of a sustainability assessment framework (SAF) that uses two categories of quantitative measures: sustainability indicators and total cost functions. The SAF methods developed will rely on the concept of energy, which measures the effective amount of energy that can be converted into work.