Creating virtual demand response assets using predictive modelling, with special application to Thailand

使用预测模型创建虚拟需求响应资产，特别适用于泰国

• 批准号: 133941
• 金额: $ 4.79万
• 依托单位: DUCKDUCK LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=133941
• 关键词: Creating; virtual; demand; response; assets

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON(South Korea) to understand how Demand Response and distributed solar power can be combined tocontribute to the growth in solar production.Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarilyreduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines whenit shines), but aggregated Demand Response can help balance out solar power's variability.The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads intolarge predictable loads which can be offered for demand response. This can then be assessed in trials, bytesting various demand response schemes.

DuckDuck和泰国朱拉隆功大学能源研究所正在与I-ON（韩国）合作，了解如何将需求响应和分布式太阳能发电结合起来，以促进太阳能发电的增长。在需求响应计划下，电力用户（工厂、办公室、家庭等）当电网处于压力下时，他们会暂时减少需求。太阳能发电是间歇性的（太阳在发光时发光），但聚合需求响应可以帮助平衡太阳能发电的可变性。该联盟正在使用预测算法将许多小的和不一致的电力负荷聚合成可以提供需求响应的大的可预测负荷。这可以在试验中进行评估，通过测试各种需求响应计划。