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

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相结合，以促进太阳能生产的增长。在需求响应计划下，电力用户（工厂，办公室，家庭等）在电网紧张时暂时减少他们的需求。太阳能发电是间歇性的（阳光普照），但总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集在一个大的可预测负荷中，可以提供需求响应。然后可以在试验中通过测试各种需求响应方案来评估这一点。

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.