EAGER: Adaptive Dynamic Programming for Residential Energy System Control and Management

这项跨学科的提案旨在将新的智能优化方法应用于住宅能源使用的智能价格响应管理的挑战，重点是连接到电网的家庭电池使用。人们对分布式储能的重要性进行了大量讨论，包括家庭电池，作为一种创造更具价格响应性需求的方式，以及更有效地将更多风能吸收到电网中的方式。然而，为了电网的利益尽可能地利用这种电池，利用一天中的时间定价信号，是一个困难的多阶段随机优化问题。也称为动态规划问题。近似动态规划（ADP）在电力部门的兴趣已经增长，并且出现了一些应用于发电机和电网管理，但这将是第一个应用于任何类型的价格响应住宅需求。 广泛影响： 这个项目会帮助私家侦探吗ADP的主要贡献者，具有强大的控制理论背景，并积极参与IEEE的推广活动和与中国的合作伙伴关系？向智能电网领域过渡，这一领域迫切需要一种新型的跨学科背景。电网中需要更多的存储是更大程度地利用和受益于风能的关键障碍。目前，在PJM系统中，1兆瓦的风力发电需要0.87兆瓦的新化石燃料发电来支持，这对其经济性和使用造成了巨大障碍;更多的存储可以消除对备份的需求。许多人希望插电式混合动力汽车中的存储可以解决这个问题，但经济上有利可图的家庭电池可以更快地部署。在美国的大多数主要电力地区都可以获得必要的5分钟价格信号，并且中西部ISO（该大学所在地）已经对基于价格的管理做出了特别承诺，这将使部署这种解决方案变得可行。

This crossdisciplinary proposal aims to apply new intelligent optimization methods to the challenge of intelligent price-responsive management of residential energy use, with an emphasis on home battery use connected to the grid. There has been considerable discussion of the importance of distributed energy storage, including batteries in the home, as a way to create more price-responsive demand and as a way to assimilate more wind power more effectively into the grid. However, to make the best possible use of such batteries for the benefit of the grid, with time of day pricing signals, is a difficult multistage stochastic optimization problem ? also known as a dynamic programming problem. Interest in approximate dynamic programming (ADP) has grown in the power sector, and a few applications have appeared for generators and grid management, but this would be the first application to price-responsive residential demand of any kind. Broad Impacts: This project would be in helping the PI ? a major contributor in ADP, with a strong background in control theory, and strong involvement in IEEE outreach activities and partnerships with China ? make a transition to the intelligent grid areas, where a new type of crossdisciplinary background is badly needed. The need for more storage in the grid is a critical obstacle to greater use and benefit from wind. At present, in the PJM system, a megawatt of wind power requires 0.87 megawatts of new fossil fuel generation to back it up, imposing a huge barrier to its economics and to its use; more storage could eliminate the need for backup. Many are hoping that storage in plug-in hybrid cars can solve this problem, but economically profitable batteries in the home could be deployed more quickly. The necessary 5-minute price signals are available in most leading power regions in the US, and MidWest ISO (where this university is located) has made a special commitment to the kind of price-based management which would make it feasible to deploy this kind of solution.