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

职业：智能电网的自组织需求侧管理：动态博弈论框架

• 批准号: 1253516
• 负责人: Amir-Hamed Mohsenian-Rad
• 金额: $ 40万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1253516&HistoricalAwards=false
• 关键词: CAREER; Self; Organizing; Demand; Side

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.

本研究的目的是应用动态博弈论开发一种新的自组织需求侧管理范式，该范式可以适应和协调消费者负载，以响应电价和可再生能源可用性的变化以及当系统可靠性面临风险时，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/软件能耗调度代理来控制消费者负载，例如为电动汽车充电。然后建立博弈论基础和新的数学工具来研究和优化能源消耗调度代理的运行，以鼓励消费者合作，支持可再生能源并网，最小化发电成本并保持电能质量。智力优点：建模中的挑战将针对微电网和宏观电网场景中需求、可再生能源发电和传统发电的跨时和地点依赖性来调查能源消耗管理主体及其相互作用。将衍生出新颖的竞争与合作动态博弈论需求侧管理解决方案。将开发一个自组织需求侧管理测试平台。 更广泛的影响：该项目具有变革潜力，可以用分散的自组织系统取代现有的集中式需求响应计划，可以鼓励大规模消费者参与达到百分之二十的峰值联邦能源管理委员会确定的负载削减目标。该教育计划包括为 K-12 学生组织乐高能源竞赛和能源营，以提高对需求侧管理的认识、招募少数族裔研究生、开发智能电网新课程以及为学生提供能源职业培训。