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

DuckDuck和泰国朱拉隆功大学的能源研究所正在与I-on(韩国)合作，了解如何将需求响应和分布式太阳能结合起来，以促进太阳能发电量的增长。在需求响应计划下，电力用户(工厂、办公室、家庭等)当电网紧张时，他们会拿到工资来暂时减少他们的需求。太阳能是间歇性的(阳光普照)，但聚合的需求响应可以帮助平衡太阳能的多样性。联盟正在使用预测算法将许多小而不一致的电力负载聚合成可以提供给需求响应的较大可预测负载。然后，可以通过测试各种需求响应方案来在试验中对此进行评估。

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.