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METHOD AND INSTRUMENTATION FOR SUSTAINABLE ENERGY LOAD FLOW MANAGEMENT SYSTEM PERFORMING AS RESILIENT ADAPTIVE MICROGRID SYSTEM

机译:弹性自适应微电网系统的可持续能源负荷流管理系统的方法和仪表

摘要

Disclosed is a method and instrumentation for predictive and adaptive controllers devised to ensure uninterrupted operation of standalone electrical supply systems powered by sustainable energy sources. The device, herein referred to as SelfMaster, is an expert system that manages the energy conversion, storage, and consumption in an isolated electric grid based on data collected during past and current operation of the system and predicted future states of the primary energy sources, storage level, and demand. The sustainable primary energy sources managed by SelfMaster may include, but are not limited to, wind force, solar radiation, and biofuels. The energy storage system is a combination of batteries, hydrogen, biofuel, and hot water tanks. Electric demand consists of critical, non-critical, and deferrable loads identified according to the activities supported by the supply system.
机译:公开了一种用于预测和自适应控制器的方法和仪器,其被设计来确保由可持续能源供电的独立供电系统的不间断运行。该设备在本文中称为SelfMaster,是一种专家系统,可以根据在系统过去和当前运行期间收集的数据以及一次能源的预测未来状态来管理隔离电网中的能量转换,存储和消耗,存储级别和需求。 SelfMaster管理的可持续主要能源可以包括但不限于风力,太阳辐射和生物燃料。储能系统是电池,氢气,生物燃料和热水箱的组合。电力需求包括根据供电系统支持的活动确定的关键,非关键和可延期负载。

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