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

本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营风险方面的潜力。该方法是（1）在典型的配电网中建立和评估基于优惠券激励的需求响应（CIDR）的真实世界实验;（2）通过考虑异构用户和风险意识负荷服务实体（LSE）来建立面向优化的CIDR模型;（3）引入有效的算法来计算CIDR的风险和福利结果;以及（4）设计和测试为LSE的风险规避目标量身定制的新机制。 研究活动包括配电级电网运行的随机建模、算法和激励机制的设计以及代表性配电网中CIDR的真实世界测试。该项目通过提供网络支持的可持续途径，实现智能决策者在智能配电网中的深度整合，从而实现未来能源系统组合的整体成本效益和环境友好利用。该研究计划与教育工作紧密结合，以培养智能电网行业未来的领导者。一个新的跨学科课程网络启用工程和可持续能源系统的经济学提供给学生在多所大学，包括得克萨斯州A M和加州大学伯克利分校。作为得克萨斯州A M的NSF REU项目的导师，该团队直接与本科生，特别是代表性不足的群体合作，以实证方式测试和改进智能手机CIDR应用程序。该团队还计划积极参与社区外展活动，如高中学生和教师的夏季开放日活动。

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.