Collaborative Research: Stochastic Optimization and Coordination Control of Demand Response for Enhancing the Secure and Economic Operation of Power Systems

协作研究：需求响应随机优化与协调控制，增强电力系统安全经济运行

• 批准号: 1102136
• 负责人: Zuyi Li
• 金额: $ 7.36万
• 依托单位: Illinois Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1102136&HistoricalAwards=false
• 关键词: Collaborative; Research; Stochastic; Optimization; Coordination

The objective of this research is to explore novel demand response management models and robust solutions for both Aggregators of Retail Consumers and Independent System Operators, which enable demand response to become a resource for providing ancillary services and maintaining system security. The approach is to (1) establish an adaptive price-sensitive load forecasting model; (2) propose a risk-constrained stochastic demand response scheduling model for Aggregators of Retail Consumers; (3) construct a two-stage security-constrained stochastic scheduling model for Independent System Operators.Intellectual Merit: The demand response integration will be analyzed and quantified for minimizing daily operating costs, satisfying hourly security constraints, and accommodating uncertainties. This project is of practical importance since demand response is being implemented worldwide, and consumers will have opportunities to make distinctive contributions to energy security and environmental improvements in power system operation. The project team is qualified to perform the study and the research and educational facilities at Clarkson and Illinois Institute of Technology are adequate.Broader Impacts: This project has profound impacts with the increasing deployment of distributed generations and plug-in hybrid vehicles. The proposed integrated research and educational activities and the new course development on modern power system operation and control in smart grid will attract more students to seek careers in power engineering. Underrepresented students will be recruited to participate in various tasks of this research. This project will increase public awareness and understanding of the complexity of power system operation among ratepayers, regulators, politicians, utility executives, market participants, and electricity consumers.

本研究的目的是探索新的需求响应管理模型和强大的解决方案，为零售消费者和独立系统运营商的聚合器，使需求响应成为一种资源，提供辅助服务和维护系统安全。该方法是（1）建立一个自适应的价格敏感负荷预测模型;（2）提出一个风险约束的零售消费者聚合商随机需求响应调度模型;（3）建立一个两阶段安全约束的独立系统运营商随机调度模型。需求响应集成将被分析和量化，以最大限度地减少日常运营成本，满足小时安全约束，并适应不确定性。该项目具有实际意义，因为需求响应正在全球范围内实施，消费者将有机会为电力系统运行中的能源安全和环境改善做出独特的贡献。该项目团队有资格进行这项研究，在克拉克森和伊利诺伊理工学院的研究和教育设施是足够的。更广泛的影响：该项目具有深远的影响，随着分布式发电和插电式混合动力汽车的部署越来越多。建议的综合研究和教育活动以及智能电网中现代电力系统运行与控制的新课程开发将吸引更多的学生寻求电力工程职业。代表性不足的学生将被招募参加这项研究的各种任务。该项目将提高纳税人、监管机构、政治家、公用事业高管、市场参与者和电力消费者对电力系统运行复杂性的认识和理解。