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:
  • 金额:
    $ 14.76万
  • 依托单位:
  • 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

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.
新兴技术的最新进展和可再生能源的更大整合增加了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操作性的贡献,难以设计补偿机制,也难以吸引参与,因此在部署这些资源方面仍然存在障碍。该项目将研究具有几个新功能的市场模式,以鼓励大规模部署分布式灵活能源。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应电力。相反,操作许可将随机发送给一部分计划参与者,他们有权但没有义务采取行动。该研究预计将为公用事业,监管机构和政策制定者提供有关设计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,这项研究的预期成果将适用于许多情况下,事件在随机时间到达的速度受到上层决策的影响。本研究的目的是分析建议的市场模型,在一般设置和发展的理论和算法策略的类的两个层次的连续时间随机控制问题,加上点过程。点过程的统计特性将使协调方案可扩展到更多的聚合层次和参与者。通过在行动机会中引入随机性以引发行为,同时保持对参与资源的非约束性,将创造一个有利的环境,以促进投资和在分销网络层面部署灵活的资源。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Resource allocation for contingency planning: An inexact proximal bundle method for stochastic optimization
  • DOI:
    10.1016/j.ejor.2020.10.008
  • 发表时间:
    2020-10
  • 期刊:
  • 影响因子:
    0
  • 作者:
    S. Moazeni;Ricardo A. Collado
  • 通讯作者:
    S. Moazeni;Ricardo A. Collado
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Somayeh Moazeni其他文献

Optimal dynamic commodity liquidation by joint spot and forward contracts
  • DOI:
    10.1007/s11081-025-09982-z
  • 发表时间:
    2025-06-05
  • 期刊:
  • 影响因子:
    1.700
  • 作者:
    Behzad Ghafouri;Somayeh Moazeni;Matt Davison
  • 通讯作者:
    Matt Davison
Transfer rate prediction at self-service customer support platforms in insurance contact centers
保险联络中心自助客户支持平台的传输速率预测
  • DOI:
    10.1016/j.eswa.2022.118701
  • 发表时间:
    2023-02-01
  • 期刊:
  • 影响因子:
    7.500
  • 作者:
    Rodrigo Andrade;Somayeh Moazeni
  • 通讯作者:
    Somayeh Moazeni
Smart teaching quantitative topics through the VARK learning styles model
通过VARK学习风格模型智能教学定量主题

Somayeh Moazeni的其他文献

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