Collaborative Research: A Nonbinding Commitment Modeling and Control for Deployment of Distributed Flexible Energy Resources

协作研究：分布式灵活能源资源部署的非约束性承诺建模与控制

基本信息

批准号：
1610302
负责人：
Somayeh Moazeni
金额：
$ 14.76万
依托单位：
Stevens Institute of Technology
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-15 至 2020-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1610302&HistoricalAwards=false
关键词：
Collaborative Research Nonbinding Commitment Modeling

项目摘要

The recent advancements in emerging technologies and the greater integration of renewable energy resources have increased interest in distributed flexible energy resources. However, barriers to the deployment of these resources continue, due to difficulties in evaluating their contributions to the operability of the power grid, in designing compensation mechanisms, and in eliciting participation. This project will investigate market models with several novel features for encouraging the large-scale deployment of distributed flexible energy resources. In particular, neither the power aggregator nor the distributed energy resources will be required to commit in advance to buy or supply power at specific times. Instead, permissions to operate will be sent at random times to a subset of program participants, who then have the right but not the obligation to act. The research is expected to provide insights to utilities, regulators, and policy makers regarding the design of efficient and attractive deployment programs. Beyond the focus area of Clean Energy, the expected outcomes of this research will be applicable to many situations where events arrive at random times at a rate influenced by upper-level decisions. This research aims to analyze the proposed market models in a general setting and to develop theory and algorithmic strategies for the class of two-level continuous-time stochastic control problems coupled with point processes. Statistical properties of point processes will make coordination schemes extensible to more aggregation levels and participants. By introducing randomness in opportunities to act in order to elicit behaviors, while remaining nonbinding for the participating resources, a favorable environment will be created to foster investment and the deployment of flexible resources at the level of the distribution network.

近年来新兴技术的进步和可再生能源的更大整合增加了人们对分布式灵活能源的兴趣。然而，由于难以评估这些资源对电网可运行性的贡献、设计补偿机制和吸引参与，这些资源的部署仍然面临障碍。该项目将研究具有多种新颖特征的市场模型，以鼓励分布式灵活能源的大规模部署。特别是，电力聚合商和分布式能源都不需要提前承诺在特定时间购买或供电。相反，操作权限将随机发送给一部分计划参与者，他们有权利但没有义务采取行动。该研究预计将为公用事业公司、监管机构和政策制定者提供有关设计高效且有吸引力的部署计划的见解。除了清洁能源的重点领域之外，这项研究的预期结果将适用于许多情况，其中事件以随机时间到达的速率受上层决策的影响。本研究旨在在一般环境下分析所提出的市场模型，并为与点过程相结合的两级连续时间随机控制问题开发理论和算法策略。点过程的统计属性将使协调方案可扩展到更多聚合级别和参与者。通过在行动机会中引入随机性以引发行为，同时对参与资源保持非约束性，将创造一个有利的环境，以促进投资和分销网络层面灵活资源的部署。