Systems and methods to meter wholesale energy transactions using retail meter data
AssigneeGridX, Inc.
InventorsJian Zhang, Wei Qin
Life of this patent
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Abstract
The present disclosure describes systems and methods for providing virtual wholesale metering in a population of utility resource consumers using interval data collected from retail utility meters. The systems and methods may be used for generating settlement quality metering data (SQMD), deriving the approximate interval data for a sub-population of customers, or improving the accuracy of interval data.
Claims25
A method for providing virtual wholesale metering in a population of utility resource consumers using interval data collected from retail utility meters that has been calibrated by a utility server, the method comprising:
- acquiring, by the utility server, a plurality of interval data indicating utility resource consumption measured by a utility meter,
- determining, by the utility server, billing cycle data by summing the acquired plurality of interval data;
- acquiring, by the utility server, register data representing utility resource consumption during the billing cycle, the register data transmitted from a distribution utility operating the utility meter;
- comparing, by the utility server, the register data to the billing cycle data to determine a calibration factor, wherein the product of the calibration factor and the billing cycle data is equal to the register data;
- calibrating, by the utility server, the plurality of interval data by applying the calibration factor to each interval data of the plurality of plurality of data;
- generating, by the utility server, calibrated billing cycle data by summing the plurality of calibrated interval data;
- and
- generating, by the utility server, corrected billing cycle data by applying a distribution loss factor to the calibrated billing cycle.
A method for generating settlement quality metering data (SQMD), the method comprising:
- determining, by the utility server, billing cycle data by summing a plurality of interval data during a billing cycle;
- determining, by the utility server, a calibration factor, wherein the product of the calibration factor and the billing cycle data is equal to a register data;
- and
- generating, by the utility server, calibrated billing cycle data by applying the calibration factor to each interval data of the plurality of plurality of data and summing the plurality of calibrated interval data.
A system for providing virtual wholesale metering in a population of utility resource consumers using meter data collected from retail utility meters, the system comprising:
- a relational database configured to store customer data associated the population of utility resource consumers;
- a non-relational database configured to store metering data of each retail utility meter associated with the population of utility resource consumers, each retail utility meter measuring the utility resource at the retail utility meter;
- and
- a server configured to:
- determine a group of retail utility meters for virtual wholesale metering;
- collecting, from the relational database, customer data associated with the group of retail utility meters;
- collecting, from the non-relational database, metering data of the group of retail utility meters;
- refining the collected metering data;
- and
- calculating metering data for the group of retail utility meters.
A method to derive the approximate interval data for a sub-population of customers from a combination of monthly total reads and the load profile generated from the interval data for the rest of the population, the method comprising:
- determining, by a utility server, billing cycle data by summing a plurality of interval data during a billing cycle;
- determining, by the utility server, a calibration factor, wherein the product of the calibration factor and the billing cycle data is equal to a register data;
- and
- generating, by the utility server, calibrated billing cycle data by applying the calibration factor to each interval data of the plurality of plurality of data and summing the plurality of calibrated interval data.
A method to improve the accuracy of interval data by calibrating the interval data against the monthly aggregated total reads, the method comprising:
- comparing, by a utility server, a register data to the monthly aggregated total reads to determine a calibration factor, wherein the product of the calibration factor and the monthly aggregated total reads is equal to the register data;
- calibrating, by the utility server, a plurality of interval data by applying the calibration factor to each interval data of the plurality of plurality of data;
- and
- generating, by the utility server, calibrated billing cycle data by summing the plurality of calibrated interval data.
Dependencies are inferred from the claim text.