SGER: Development of Distributed Knowledge Networks to Provide Decision-Support for Security-Economy Decisions in Operating Stressed Power Systems

该研究建议涉及电力系统安全性，高压输电和发电互联电网在网络中响应干扰而不造成设备损坏，负载中断，连锁停电或停电的能力。 它代表了电力系统运行人员非常感兴趣的可靠性的一个组成部分，因为正是安全水平决定了他们在应对20世纪90年代发展起来的电力市场的经济需求方面的灵活性。 由于现有的和未来的建设新的传输设施的抑制因素，高压运行条件越来越强调，保持有吸引力的能源价格的关键是有效地利用现有的传输设备。 有效的设备利用涉及到安全水平与市场的仔细平衡，需要一个持续的决策问题。 该提案的基本论点是，参与者的多样性，所需数据的异质性和分散性，以及与当今安全经济决策问题相关的固有复杂性，需要开发新的信息管理和决策支持基础设施。 我们的目标是开发这个基础设施的基础上，使用移动的软件代理在一个分布式的知识网络。 拟议研究的预期结果包括：急需的算法和系统解决方案，用于监测和协调复杂的、动态的、放松管制的电网，以及考虑到与市场效率相关的财务需求以及与维持电力系统可靠性相关的工程（但最终也是财务）需求的分布式决策。 拟议的工作将导致一个模块化的和可扩展的套件的分布式知识网络工具，用于监测动态的，分布式系统一般，特别是电力系统。 一个具体的成果是一个工作原型模拟器，将清楚地说明这种方法的好处。作者所设想的更广泛的影响是，由于改善了对操作高压电能系统（美国国家基础设施的关键部分）的决策支持，将为社会和整个经济带来社会效益。

This research proposal addresses electric power system security, the ability of the high voltage transmission and generation interconnected grid to respond to disturbances in the network without equipment damage, load interruption, cascading outages, or blackouts. It represents a component of reliability that is of great interest to those who operate the power system, as it is the security level that determines their flexibility in responding to the economic imperatives of the electric energy markets that have evolved during the 1990s. Because of existing and future disincentives to constructing new transmission facilities, high voltage operating conditions are increasingly stressed, and the key to maintaining attractive energy prices is to efficiently utilize the existing transmission equipment. Efficient equipment utilization involves careful balancing of the security level against the market needs a continuous decision making problem. The underlying thesis In this proposal is that diversity of participants, heterogeneity and dispersion of required data, and Inherent complexity associated with today's security-economy decision-making problem necessitates development of new information management and decision-support Infrastructure. Our objective is to develop the foundation for this infrastructure, using mobile software agents within a distributed knowledge network. Anticipated results of the proposed research include: much-needed algorithmic and systems solutions for monitoring and coordination of complex, dynamic, deregulated power grids as well as for distributed decision making taking into account the financial needs associated with market efficiency as well as the engineering (but ultimately financial as well) needs associated with maintaining reliability of the electric power system. The proposed work will result in a modular and extensible suite of distributed knowledge network tools for monitoring of dynamic, distributed systems in general, and power systems in particular. A specific outcome is to be a working prototype simulator that will clearly illustrate the benefits of the approach. The broader impacts as envisioned by the authors are the social benefits that would accrue to the society and to the economy at large, due to improved decision-support for operating the high voltage electric energy system, a critical part of the US national infrastructure.