Enel has been granted a patent for a controller designed to manage electrical power systems. The controller utilizes a meter read schedule to adjust demand setpoints, ensuring compliance with desired power limits by resetting these setpoints around anticipated meter read occurrences during billing periods. GlobalData’s report on Enel gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Enel, Power grid analytics was a key innovation area identified from patents. Enel's grant share as of June 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
Electrical system demand control using setpoints and schedules
The patent US12015269B2 describes a controller designed for managing electrical power systems, focusing on optimizing demand setpoints based on anticipated meter read occurrences. The controller includes a memory that stores a meter read schedule and a demand setpoint, which represents the desired upper limit of demand. It utilizes one or more processors to adjust the demand setpoint during billing periods and to provide control values to the electrical power system to ensure compliance with the setpoint. The system determines multiple reset points for the demand setpoint, which are strategically placed before, during, and after the anticipated meter read occurrences, allowing for dynamic adjustments that align with demand windows.
Additionally, the controller is configured to reset the demand setpoint multiple times around each anticipated meter read occurrence, including specific intervals before and after these occurrences. The reset points can vary in frequency and may include tracking committed demands to establish a baseline for future billing cycles. This method enhances the controller's ability to manage energy consumption effectively, ensuring that the electrical power system operates within desired limits while adapting to real-time demand changes. The claims also highlight the flexibility of the system in terms of reset frequency and the ability to utilize historical demand data for improved performance.
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