Abstract:
Techniques for managing connections within an energy generation network may be provided. Real-time data associated with network-connected energy generation devices at a location may be collected to determine communication channels between the devices. If it is determined that an inverter of the network is solar-powered, a wizard application may be launched to help a technician determine whether a meter will lose connectivity with a gateway device. The wizard application may provide instructions to power down the inverter. Once the inverter is powered down, it may be determined whether the metering device has lost its network connection with the gateway. If so, an instruction to install a repeater device during the installation may be provided.
Abstract:
Techniques for managing connections within an energy generation network may be provided. Real-time data associated with network-connected energy generation devices at a location may be collected to determine communication channels between the devices. If it is determined that an inverter of the network is solar-powered, a wizard application may be launched to help a technician determine whether a meter will lose connectivity with a gateway device. The wizard application may provide instructions to power down the inverter. Once the inverter is powered down, it may be determined whether the metering device has lost its network connection with the gateway. If so, an instruction to install a repeater device during the installation may be provided.
Abstract:
A computer-implemented method for an energy generation site includes detecting an energy storage device and its storage capacity, detecting an electrical grid operatively coupled to the energy generation site, and receiving event data corresponding to an event affecting the electrical grid. The method further includes determining a probability that the electrical grid will experience a power outage based on the event data, and charging the storage device according to a first charging profile or a second charging profile based on the probability. A maximum charge set point of the storage device for the first charging profile is less than the maximum storage capacity of the storage device, and the maximum charge set point for the second charging profile is at the maximum storage capacity of the storage device. The event data can be weather data, geological data, social media, or local alert data.