Scalable edge hardware system for distributed energy resources

A method for managing distributed energy resources comprising:

• communicating, by a core device, with a cloud environment to acquire current optimization and load management set points for a charging station;
• dispatching, by the core device, the current optimization and load management set points through a local communications protocol via a local network to the charging station;
• receiving, by the core device, data from the charging station through the local network;
• communicating, by the core device, the data to the cloud environment via a wide area network;
• and
• controlling, by the core device, charge and discharge parameters of an energy asset at the charging station using energy-related inputs, which include at least one of the following:
• real-time weather data, historical weather data, weather forecast data, tariff data, historical asset energy interval data, forecasted asset energy interval data, real-time asset energy usage data, system constraint data, user preference data, and market-based strategy data.

A non-transitory computer-readable medium for managing distributed energy resources that includes logic that, when executed by a computing device, causes the computing device to perform at least the following:

• communicate with a cloud environment to acquire current optimization and load management set points for a charging station;
• dispatch the current optimization and load management set points through a local communications protocol via a local network to the charging station;
• receive data from the charging station through the local network;
• communicate the data to the cloud environment via a wide area network;
• and
• control charge and discharge parameters of an energy asset at the charging station using energy-related inputs, which include at least one of the following:
• real-time weather data, historical weather data, weather forecast data, tariff data, historical asset energy interval data, forecasted asset energy interval data, real-time asset energy usage data, system constraint data, user preference data, and market-based strategy data.