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电网运营风险方面的潜力。该方法是(1)在代表性配电网中创建和评估基于优惠券激励的需求响应（CIDR）的现实世界实验；(2)考虑异构消费者和风险感知负载服务实体（lse），建立面向优化的CIDR模型；(3)引入计算CIDR风险和福利结果的高效算法；(4)设计和测试为lse的风险规避目标量身定制的新机制。研究活动包括配电网运行的随机建模、算法和激励机制的设计以及典型配电网中cidr的实际测试。通过为智能配电网中的智能决策者提供网络支持的可持续途径，该项目将引领未来能源系统组合的整体成本效益和环保利用。该研究项目与培训智能电网行业未来领导者的教育努力紧密结合。包括德州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。作为德州农工大学NSF REU项目的导师，该团队直接与本科生合作，特别是代表性不足的群体，对智能手机CIDR应用进行实证测试和改进。该团队还计划积极参与高中学生和教师的暑期开放日活动等社区外展活动。

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.