OPTIMIZED ENERGY MANAGEMENT SYSTEM
First Claim
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1. A method for deferring demand for electrical energy, comprising the computer-implemented steps of:
- (1) automatically estimating a cost over a forecasting period for electrical energy at a location, wherein the forecasting period is divided into multiple zones, and wherein the cost of electrical energy is estimated based on a forecast of demand for electrical energy in each zone;
(2) determining a demand for electrical energy by one or more devices at the location for which energy consumption can be deferred;
(3) identifying a zone of the multiple zones in which an available marginal power supply capacity is greater that an electrical load of at least one device of the one or more devices;
(4) repeating step (3) to identify contiguous zones having a total duration exceeding a duration of time during which the at least one device is to be operated;
(5) selecting a plurality of the identified contiguous zones as a lower-cost time period; and
(6) automatically deferring electrical consumption for the at least one device from a higher-cost time period to the lower-cost time period, including the computer-implemented step of issuing a command to the at least one device to cause the deferral to occur.
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Abstract
Methods and systems are provided for optimizing the control of energy supply and demand. An energy control unit includes one or more algorithms for scheduling the control of energy consumption devices on the basis of variables relating to forecast energy supply and demand. Devices for which energy consumption can be scheduled or deferred are activated during periods of cheapest energy usage. Battery storage and alternative energy sources (e.g., photovoltaic cells) are activated to sell energy to the power grid during periods that are determined to correspond to favorable cost conditions.
27 Citations
10 Claims
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1. A method for deferring demand for electrical energy, comprising the computer-implemented steps of:
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(1) automatically estimating a cost over a forecasting period for electrical energy at a location, wherein the forecasting period is divided into multiple zones, and wherein the cost of electrical energy is estimated based on a forecast of demand for electrical energy in each zone; (2) determining a demand for electrical energy by one or more devices at the location for which energy consumption can be deferred; (3) identifying a zone of the multiple zones in which an available marginal power supply capacity is greater that an electrical load of at least one device of the one or more devices; (4) repeating step (3) to identify contiguous zones having a total duration exceeding a duration of time during which the at least one device is to be operated; (5) selecting a plurality of the identified contiguous zones as a lower-cost time period; and (6) automatically deferring electrical consumption for the at least one device from a higher-cost time period to the lower-cost time period, including the computer-implemented step of issuing a command to the at least one device to cause the deferral to occur. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer-readable medium comprising computer-readable instructions that, when executed by a computer, perform the steps of:
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(1) determining a marginal cost for each of a plurality of energy sources available at a location, at least one of which is a non-grid source of electricity, wherein at least one of the plurality of energy sources has a non-constant marginal cost that varies based on the capacity drawn by a single location from that energy source; (2) determining a capacity of electrical energy available from each non-grid energy source; (3) determining a demand for electrical energy at the single location; and (4) dynamically allocating, in order of lowest marginal cost to highest marginal cost, electrical energy capacity from each of the plurality of energy sources to meet the demand. - View Dependent Claims (8)
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9. A computer-readable medium comprising computer-readable instructions that, when executed by a computer, perform the steps of:
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(1) defining a plurality of energy consumption patterns for a forecasting period comprising a plurality of contiguous time intervals; (2) forecasting, for each of the plurality of energy consumption patterns, the electrical load for each of the plurality of contiguous time intervals; (3) selecting one of the plurality of energy consumption patterns, whereby the selected one of the energy consumption patterns represents an estimate of demand for electrical energy over the forecasting period; (4) for each of the each of the plurality of contiguous time intervals, as each interval elapses in real-time; (a.) receiving data relating to actual energy consumption; (b.) comparing actual energy consumption for a subset of the plurality of contiguous time intervals to each of the plurality of energy consumption patterns to identify a second one of the plurality of energy consumption patterns that is the closest fit to the actual energy consumption of the subset of the plurality of contiguous time intervals; (c.) scaling the second one of the plurality of energy consumption patterns to reflect the actual energy consumption for the subset of the plurality of contiguous time intervals, whereby the scaled second one of the energy consumption patterns represents an re-estimate of demand for electrical energy over the forecasting period.
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10. A computer-readable medium comprising computer-readable instructions that, when executed by a computer, perform the steps of:
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(1) determining a marginal cost for each of a plurality of energy sources available at a location, at least one of which is a non-grid source of electricity, wherein at least one of the plurality of energy sources has a non-constant marginal cost that varies based on the capacity drawn by a single location from that energy source, wherein a cost production curve for the at least one energy source is approximated using piecewise linear segments, (2) determining a capacity of electrical energy available from each non-grid energy source; (3) determining a demand for electrical energy at the single location; and (4) dynamically allocating, in order of lowest marginal cost to highest marginal cost, electrical energy capacity from each of the plurality of energy sources to meet the demand.
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Specification