EPNES: High Confidence Control of Electric Power Networks using Dynamic Incentive Mechanisms

我们建议制定一个框架，为电力网络及其相关市场提供强大的发电，同时奖励效率和环境友好的激励设计。 关键的技术要点是： 1.发展买卖经济机制原型 功率寻址非稳态性能并结合 工程考虑因素，如生产效率和 环境排放。 2.信息融合与反馈控制的分析与综合 组件、网络和市场层面的机制， 在存在不确定性的情况下， 断层 3.实施经济学实验检验工程绩效 和市场波动的代表性的电力网络，使用20-30 人类主体和软件代理与分布式 大规模电力系统的仿真。我们将联合收割机方法从控制，计算和经济学在一个统一的框架，预计将适用于其他关键的基础设施问题，涉及互联的经济，信息和工程系统的市场为基础的系统。 我们还将开发一个课程，将提供培训，在经济学，计算机科学和工程学的学生的元素。 这些课程活动将被整合到一套新的跨学科课程中，这些课程正在为加州理工学院新成立的社会和信息系统实验室开发。 这些课程将为经济和信息科学家提供必要的培训，他们需要分析，设计，实施和操作大规模的社会和信息系统。 妇女和代表性不足的少数民族的参与将通过夏季本科研究计划专门针对和追求。

We propose to develop a framework for designing incentives for electric power networks and their associated markets that provides robust power generation while rewarding efficiency and environmental friendliness. The key technical thrusts are: 1. Development of prototype economic mechanisms for buying and selling power addressing non-steady state performance and incorporating engineering considerations such as production efficiency and environmental emissions. 2. Analysis and synthesis of information fusion and feedback control mechanisms at the component, network, and market levels providing high performance and robust operation in the presence of uncertainty and faults. 3. Implementation of economics experiments to test engineering performance and market volatility of representative power networks, using 20-30 human subjects and software agents interacting with a distributed simulation of a large scale power system. We will combine methods from control, computation and economics in a unified framework for market-based systems that is expected to be applicable to other critical infrastructure problems involving interconnected economic, information, and engineering systems. We will also develop elements of a curriculum that will provide training to students in economics, computer science, and engineering. These curriculum activities will be integrated into a novel set of interdisciplinary courses that are being developed for the newly formed Social and Information Systems Laboratory at Caltech. These courses will provide necessary training for economic and information scientists who are needed to analyze, design, implement and operate large scale social and information systems. Participation of women and underrepresented minorities will be specifically targeted and pursued through the summer undergraduate research programs.