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.

该项目研究了基于自愿激励的需求响应计划在限制未来可持续配电网运行风险方面的潜力。该方法是：(1)在典型配电网中创建和评估基于优惠券激励的需求响应(CIDR)的真实实验；(2)通过考虑异质消费者和具有风险意识的负载服务实体(LSE)来构建面向优化的CIDR模型；(3)引入计算CIDR的风险和福利结果的高效算法；以及(4)设计和测试针对LSE的风险规避目标的新机制。研究活动包括配电网运行的随机建模，算法和激励机制的设计，以及在典型配电网中进行CIDR的真实世界测试。通过提供一条通过网络实现的可持续路径，实现智能决策者在智能配电网中的深度集成，该项目导致了对未来能源系统组合的总体成本效益和环境友好的利用。该研究项目与培养智能电网行业未来领导者的教育努力紧密结合在一起。包括德克萨斯农工大学和加州大学伯克利分校在内的多所大学，为学生开设了一门新的跨学科课程，内容涉及可持续能源系统的网络工程和经济学。作为德克萨斯农工大学NSF REU项目的导师，该团队直接与本科生，特别是代表不足的群体合作，对智能手机CIDR应用进行经验测试和改进。该团队还计划积极参与社区外展活动，如为高中生和教师举办的暑期开放日活动。