Collaborative Research: CyberSEES: Coupon Incentive-based Risk Aware Demand Response in Smart Grid

合作研究：Cyber​​SEES：智能电网中基于优惠券激励的风险意识需求响应

• 批准号: 1331692
• 负责人: Pravin Varaiya
• 金额: $ 33.3万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1331692&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberSEES; Coupon; Incentive

This project investigates the potential of a voluntary incentive-based demand response program in limiting the operating risks of future sustainable distribution power grids. The approach is to (1) create and assess real-world experiments of coupon incentive-based demand response (CIDR) in representative distribution grids; (2) formulate optimization-oriented CIDR models by taking into account heterogeneous consumers and risk aware load serving entities (LSEs); (3) introduce efficient algorithms for computing risk and welfare outcomes from CIDR; and (4) design and test novel mechanisms tailored for LSEs' risk-averse objectives. The research activities include stochastic modeling of distribution-level grid operations, design of algorithms and incentive mechanisms, and real-world tests of CIDRs in representative distribution grids.By providing a cyber-enabled sustainable pathway towards deep integration of intelligent decision makers in the smart distribution grid, this project leads toward an overall cost-effective and environmentally benign utilization of a future energy system portfolio. The research program is strongly coupled with an educational effort to train future leaders in the smart grid industry. A new interdisciplinary course on cyber-enabled engineering and economics of sustainable energy systems is offered to students across multiple universities, including Texas A&M and UC Berkeley. As mentors in a NSF REU program at Texas A&M, the team works directly with undergraduate students, in particular under-represented groups, to empirically test and improve the smart phone CIDR application. The team also plans to actively participate in the community outreach activities such as summer open house activities for high school students and teachers.

该项目调查了基于自愿激励的需求响应计划在限制未来可持续分配电网的运营风险方面的潜力。该方法是（1）在代表性分配网格中创建和评估基于优惠率激励需求响应（CIDR）的现实世界实验； （2）通过考虑异质消费者和风险意识负载服务实体（LSE）来制定面向优化的CIDR模型； （3）引入有效的算法来计算CIDR的风险和福利结果； （4）设计和测试针对LSES规避风险目标的新型机制。 研究活动包括分布级网格操作的随机建模，算法和激励机制的设计，以及在代表性分布网格中的CIDR的现实世界测试。通过为智能分配网格在智能分配网格中的智能决策制造商提供深刻的智能决策制造商的可持续性途径，该项目促进了整体端口和环境效应的能力效应。该研究计划与培训智能电网行业的未来领导者的教育努力相结合。在包括德克萨斯州A＆M和加州大学伯克利分校在内的多个大学的学生提供了有关支持网络工程和可持续能源系统经济学的新跨学科课程。作为德克萨斯州A＆M的NSF REU计划的导师，该团队直接与本科生，尤其是代表性不足的小组合作，以经验测试和改进智能手机CIDR应用程序。该团队还计划积极参加社区外展活动，例如针对高中生和老师的夏季开放式活动。