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设计激励措施，在提供强劲发电的同时奖励效率和环境友好性。关键的技术要点是：1。开发用于买卖电力的原型经济机制，解决非稳态性能问题，并将生产效率和环境排放等工程考虑因素纳入其中。2. 分析和综合组件、网络和市场层面的信息融合和反馈控制机制，在存在不确定性和故障的情况下提供高性能和稳健的运行。3. 实施经济学实验，测试代表性电网的工程性能和市场波动性，使用20-30个人类受试者和软件代理与大规模电力系统的分布式模拟交互。我们将把控制、计算和经济学的方法结合在一个统一的基于市场的系统框架中，该系统有望适用于涉及相互关联的经济、信息和工程系统的其他关键基础设施问题。我们还将制定课程内容，为学生提供经济学、计算机科学和工程学方面的培训。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。这些课程将为需要分析、设计、实施和操作大规模社会和信息系统的经济和信息科学家提供必要的培训。女性和未被充分代表的少数民族的参与将通过夏季本科研究项目被特别针对和追求。

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.