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Coordination of distributed energy storage and demand side response to offer flexibility in modern energy networks

Coordination of distributed energy storage and demand side response to offer flexibility in modern energy networks
协调分布式能源存储和需求侧响应,为现代能源网络提供灵活性
批准号:
1948734
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
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英文摘要
The costs of energy storage are falling and the deployment of devices is expected to increase rapidly over the next years, with a significant proportion expected to be connected to distribution networks. Whilst a lot of the focus of energy storage is on providing power for fast response to services to maintain network frequency, as the penetration of variable renewables increases, larger scale energy balancing will become more important. Such energy storage and demand side response technology options, including for electrical and thermal energy will in principle give greater system flexibility and reduced costs.However, the practicalities of providing such system services from a massively-distributed technology base, with a range of performance characteristics, have not been well studied. This PhD will explore distributed energy storage and demand side response combinations. We propose to assess whether combining distributed energy storage technologies and demand side response would lead to a more efficient energy system, and how the value could be captured to maximise the system benefit. This will require research effort to: assess the value of different combinations of technology under different energy system scenarios; develop control systems allowing technologies to be combined; analyse network and technology data across temporal and geographical scales to operate virtual distributed energy storage; consider the regulatory implications of such an approach, and the business models/policies that would allow its commercialisation.
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Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    MATHIEULOUROCHLAURIERE
  • 依托单位:
基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
  • 批准号:
    61672236
  • 项目类别:
    面上项目
  • 资助金额:
    64.0万元
  • 批准年份:
    2016
  • 负责人:
    王骏
  • 依托单位: