Systems and methods for optimizing energy dispatch
Methods, systems, apparatuses, and non-transitory computer-readable media are provided for optimizing energy dispatch. In one implementation, the computer-readable media includes instructions to cause a processor to: generate a plurality of energy dispatch patterns for utilizing one or more energy storage units; generate, based on data determined for each energy dispatch pattern of the plurality of energy dispatch patterns, a recommended energy dispatch pattern; and adjust the one or more energy storage units to dispatch electricity according to the recommended energy dispatch pattern.
1 . A system comprising:
one or more energy storage units; and
a computing device comprising at least one processor and a memory storing instructions that, when executed by the at least one processor, cause the computing device to:
generate a plurality of energy dispatch patterns for utilizing the one or more energy storage units;
determine, for each energy dispatch pattern of the plurality of energy dispatch patterns, an estimated net value by:
determining, based on forecasted energy market data, an estimated value of the energy dispatch pattern;
determining, based on environmental data for the one or more energy storage units, one or more state variables of the one or more energy storage units;
determining, based on the one or more state variables, an estimated marginal degradation of the one or more energy storage units;
determining, based on the estimated marginal degradation, an estimated cost of the energy dispatch pattern; and
calculating, based on the estimated value and the estimated cost, the estimated net value of the energy dispatch pattern;
generate, based on the estimated net value determined for each energy dispatch pattern of the plurality of energy dispatch patterns, a recommended energy dispatch pattern; and
adjust the one or more energy storage units to dispatch electricity according to the recommended energy dispatch pattern.
2 . The system of claim 1 , wherein the one or more energy storage units include one or more battery units, and wherein each battery unit of the one or more battery units comprises an enclosure including a plurality of batteries.
3 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the computing device to:
cause display of a user interface illustrating the recommended energy dispatch pattern.
4 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the computing device to:
generate the plurality of energy dispatch patterns by performing an optimization technique based on an objective function and a plurality of different constraints.
5 . The system of claim 4 , wherein the optimization technique comprises linear programming or mixed integer linear programming.
6 . The system of claim 4 , wherein the plurality of different constraints comprise different quantities of charge-discharge cycles to be included in an energy dispatch pattern.
7 . The system of claim 4 , wherein the optimization technique determines a particular energy dispatch pattern by maximizing an estimated value of the particular energy dispatch pattern based on market price forecasts for a time period.
8 . The system of claim 1 , wherein an energy dispatch pattern of the plurality of energy dispatch patterns includes a plurality of intervals of a time period during which the one or more energy storage units are configured to charge or discharge at a particular rate.
9 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the computing device to:
generate the recommended energy dispatch pattern by selecting, from the plurality of energy dispatch patterns, an energy dispatch pattern whose estimated net value is larger than the estimated net values of other energy dispatch patterns of the plurality of energy dispatch patterns and is larger than a configured threshold.
10 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the computing device to:
determine the one or more state variables of the one or more energy storage units based on the energy dispatch pattern; and
determine the estimated marginal degradation of the one or more energy storage units based on the energy dispatch pattern.
11 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the computing device to:
receive, from a computing device associated with a wholesale energy market, the forecasted energy market data.
12 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the computing device to:
determine the estimated cost by calculating an opportunity cost associated with the estimated marginal degradation.
13 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the computing device to:
determine the estimated cost by calculating a replacement cost for replacing the estimated marginal degradation.
14 . The system of claim 1 , wherein the one or more state variables of the one or more energy storage units comprise temperatures of the one or more energy storage units within one or more enclosures for the one or more energy storage units.
15 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the computing device to determine the estimated marginal degradation by:
performing a search in a database that maps parameters of an energy dispatch pattern and temperatures of batteries to expected degrees of degradation.
16 . The system of claim 1 , wherein the environmental data for the one or more energy storage units comprises one or more of:
a forecasted ambient temperature for an area in which the one or more energy storage units are located; or
a forecasted ambient humidity for an area in which the one or more energy storage units are located.
17 . The system of claim 16 , wherein the instructions, when executed by the at least one processor, cause the computing device to:
receive, from a computing device associated with weather forecasting, the environmental data.
18 . A method comprising:
generating, by a computing device, a plurality of energy dispatch patterns for utilizing one or more energy storage units;
determining, for each energy dispatch pattern of the plurality of energy dispatch patterns, an estimated net value by:
determining, based on forecasted energy market data, an estimated value of the energy dispatch pattern;
determining, based on environmental data for the one or more energy storage units, one or more state variables of the one or more energy storage units;
determining, based on the one or more state variables, an estimated marginal degradation of the one or more energy storage units;
determining, based on the estimated marginal degradation, an estimated cost of the energy dispatch pattern; and
calculating, based on the estimated value and the estimated cost, the estimated net value of the energy dispatch pattern;
generating, based on the estimated net value determined for each energy dispatch pattern of the plurality of energy dispatch patterns, a recommended energy dispatch pattern; and
adjusting the one or more energy storage units to dispatch electricity according to the recommended energy dispatch pattern.
19 . A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to:
generate a plurality of energy dispatch patterns for utilizing one or more energy storage units;
determine, for each energy dispatch pattern of the plurality of energy dispatch patterns, an estimated net value by:
determining, based on forecasted energy market data, an estimated value of the energy dispatch pattern;
determining, based on environmental data for the one or more energy storage units, one or more state variables of the one or more energy storage units;
determining, based on the one or more state variables, an estimated marginal degradation of the one or more energy storage units;
determining, based on the estimated marginal degradation, an estimated cost of the energy dispatch pattern; and
calculating, based on the estimated value and the estimated cost, the estimated net value of the energy dispatch pattern;
generate, based on the estimated net value determined for each energy dispatch pattern of the plurality of energy dispatch patterns, a recommended energy dispatch pattern; and
adjust the one or more energy storage units to dispatch electricity according to the recommended energy dispatch pattern.