This technology monitors voltage waveforms of neighboring electrical grids to improve load management. Through a load event recognition algorithm, the system saves energy and reduces operational costs of heating, ventilation, and air conditioning (HVAC) systems, environmental control units (ECUs), low-inertia microgrids, and street-level distribution networks.
HVAC systems and ECUs must be aware of the electrical loads and operating conditions nearby in order to perform proper load management on their own grids. Operating conditions of adjacent grids can be exchanged through dedicated communication networks, but such a solution requires complex and expensive equipment. Alternatively, HVAC systems and ECUs can monitor voltage waveforms from their neighboring grids and extract transient events based on unique signatures.
This non-intrusive energy management system comprises of a load event recognition algorithm and an autonomous load controller. The algorithm identifies transient events in neighboring electrical grids, such as turning on/off a generator or ECU. The system first monitors local voltage for frequency signatures and seventh harmonic voltage transients caused by the actions of grid-adjacent loads. Then, through a cross-correlation scoring metric, the extracted voltage signatures are matched to transient events. Once an event is detected, the load controller autonomously updates its routine, shedding or increasing load as required.
- Reduces operational costs through an autonomous load controller
- Saves energy through a non-intrusive monitoring system and load event recognition algorithm
- Detects neighboring transient events by extracting voltage signatures