CAREER: Self-Organizing Demand Side Management for Smart Grid: A Dynamic Game-Theoretic Framework

本研究的目的是应用动态博弈理论，开发一种新的自组织需求侧管理范式，可以适应和协调消费者的负荷，以响应电价和可再生能源的可用性的变化，当系统的可靠性处于危险之中，与公用事业的开销最小。该方法是首先设计新的即插即用硬件/软件能耗调度代理，控制消费者的负载，如充电电动汽车。然后建立博弈论基础和新的数学工具，以研究和优化能耗调度代理的运行，以鼓励消费者合作，支持可再生能源发电集成，最大限度地降低发电成本，并保持电能质量。在建模的能源消耗管理代理和他们的相互作用的挑战将调查相对于内部，微电网和宏电网场景中需求、可再生能源发电和传统发电的时间和位置依赖性。新的竞争和合作的动态博弈理论的需求侧管理解决方案将得到。更广泛的影响：该项目具有变革性的潜力，可以用分散的自组织系统取代现有的集中式需求响应程序，鼓励大规模的消费者参与，以达到联邦能源管理委员会确定的20%的调峰目标。教育计划包括为K-12学生组织乐高能源竞赛和能源夏令营，以提高对需求侧管理的认识，招募少数民族研究生，开发智能电网新课程，并培训学生从事能源职业。

The objective of this research is to apply dynamic game theory to develop a new self-organizing demand side management paradigm that can adapt and coordinate consumers load in response to changes in electricity prices and renewable power availability and when the system reliability is at risk, with minimal overhead on utilities. The approach is to first design new plug-and-play hardware/software energy consumption scheduling agents that control the consumers load, such as charging electric cars. Then to build a game-theoretic foundation and new mathematical tools to investigate and optimally shape the operation of energy consumption scheduling agents to encourage consumer cooperation, support renewable power integration, minimize generation cost, and maintain power quality.Intellectual Merit: The challenges in modeling the energy consumption management agents and their interactions will be investigated with respect to the inter-temporal and locational dependencies in demand, renewable generation, and conventional generation in both micro-grid and macro-grid scenarios. Novel competitive and cooperative dynamic game-theoretic demand side management solutions will be derived. A self-organizing demand side management test-bed will be developed.Broader Impacts: This project has a transformative potential to replace existing centralized demand response programs with decentralized self-organizing systems that can encourage large-scale consumer participation to reach the twenty percent peak load shaving goal identified by the Federal Energy Regulatory Commission. The education plan includes organizing LEGO Energy Competitions and Energy Camps for K-12 students to increase awareness about demand side management, recruiting a minority graduate student, developing a new course on smart-grid, and training students for energy careers.