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.

新兴技术的最新进步以及可再生能源资源的更大整合使人们对分布式柔性能源资源的兴趣增加了。但是，由于难以评估其对电网的可操作性，设计补偿机制和引起参与的贡献，因此部署这些资源的部署障碍仍在继续。该项目将使用几个新型功能调查市场模型，以鼓励分布式柔性能源的大规模部署。特别是，电力聚合器和分布式能源都不需要提前承诺在特定时间购买或供电。取而代之的是，操作许可将在随机时间发送到计划参与者的一部分，然后他们有权利但没有采取行动的义务。预计该研究将为实用程序，监管机构和政策制定者提供有关高效和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，在许多情况下，事件以受到高层决策影响的速度随机到达。这项研究旨在在一般环境中分析提出的市场模型，并为两级连续时间随机控制问题以及点过程的两级连续时间随机控制问题提供理论和算法策略。点过程的统计特性将使协调方案可扩展到更多的聚合水平和参与者。通过引入随机行动的随机性，以引起行为，同时仍然是参与资源的无约束力，将创建一个有利的环境，以促进投资和在分销网络级别部署灵活的资源。