Energy dispatch optimization using a fleet of distributed energy resources
A dispatch optimization system and virtual power plant can be utilized and controlled in order to support the operations of a power distribution system. For example, upon determining an electrical need, the dispatch optimization system and/or virtual power plant may make an energy adjustment by allocating the energy adjustment among distributed energy resources of a fleet of distributed energy resources in order to achieve the energy adjustment. The dispatch optimization system and/or virtual power plant may determine the allocation among the distributed energy resources based on the economic costs and storage costs to use each distributed energy resource.
1 . A method for optimizing the dispatch of energy, the method comprising:
determining, by a processor, an energy need;
determining, by the processor, a first subgroup of a fleet of distributed energy resources to use to meet the energy need based on an economic cost to use each distributed energy resource to meet a portion of the energy need;
determining, by the processor, a second subgroup of the fleet of distributed energy resources to use to meet the energy need based on a storage cost to use each distributed energy resource to meet the portion of the energy need, wherein:
the storage cost indicates a difference between a current deviation and a final deviation;
the current deviation being a difference between a current storage level and an ideal storage level; and
the final deviation being a difference between a final storage level and the ideal storage level;
in response to determining the first subgroup and the second subgroup, transmitting an instruction, by the processor, to the distributed energy resources of the first subgroup and second subgroup to perform an energy adjustment comprising one of (i) discharging energy, (ii) consuming energy, or (iii) both (i) and (ii) to meet the energy need; and
performing the energy adjustment by the distributed energy resources of the first subgroup and second subgroup in response to receiving the transmitted instruction.
2 . The method of claim 1 , wherein the first subgroup is determined by:
ranking the distributed energy resources from a lowest economic cost to a highest economic cost; and
selecting the distributed energy resources in order of the ranking starting from the lowest economic cost.
3 . The method of claim 1 , wherein the second subgroup is determined by:
ranking the distributed energy resources from a lowest storage cost to a highest storage cost; and
selecting the distributed energy resources in order of the ranking starting from the lowest storage cost.
4 . The method of claim 1 , wherein determining the first subgroup of the fleet of distributed energy resources is further based on a health value of each distributed energy resource.
5 . The method of claim 4 , wherein determining the first subgroup comprises:
determining the economic costs of a group of distributed energy resources of the fleet of distributed energy resources are within a range; and
selecting distributed energy resources from the group to include in the first subgroup based on the health value of each distributed energy resource of the group.
6 . The method of claim 1 , wherein determining the second subgroup of the fleet of distributed energy resources is based on a health value of each distributed energy resource.
7 . The method of claim 6 , wherein determining the second subgroup comprises:
determining the storage costs of a group of distributed energy resources of the fleet of distributed energy resources are within a range; and
selecting distributed energy resources from the group to include in the second subgroup based on the health value of each distributed energy resource of the group.
8 . The method of claim 1 , wherein determining the second subgroup comprises:
ranking the distributed energy resources from a lowest storage cost to a highest storage cost; and
selecting the distributed energy resources in order of the ranking from the lowest storage cost until the first subgroup and the second subgroup of distributed energy resources are sufficient to meet the energy need.
9 . A dispatch optimization system comprising at least one processing device and at least one non-transitory computer-readable medium storing data instructions which, when executed by the at least one processing device, cause the dispatch optimization system to:
determine an energy need;
determine a first subgroup of a fleet of distributed energy resources to use to meet the energy need based on an economic cost to use each distributed energy resource to meet a portion of the energy need;
determine a second subgroup of the fleet of distributed energy resources to use to meet the energy need based on a storage cost to use each distributed energy resource to meet the portion of the energy need, wherein:
the storage cost indicates a difference between a current deviation and a final deviation;
the current deviation being a difference between a current storage level and an ideal storage level; and
the final deviation being a difference between a final storage level and the ideal storage level:
in response to determining the first subgroup and the second subgroup, transmit an instruction to the distributed energy resources of the first subgroup and second subgroup to perform an energy adjustment comprising one of (i) discharging energy, (ii) consuming energy, or (iii) both (i) and (ii) to meet the energy need; and
perform the energy adjustment by the distributed energy resources of the first subgroup and second subgroup in response to receiving the transmitted instruction.
10 . The dispatch optimization system of claim 9 , wherein to determine the first subgroup comprises to:
rank the distributed energy resources from a lowest economic cost to a highest economic cost; and
select the distributed energy resources in order of the ranking starting from the lowest economic cost.
11 . The dispatch optimization system of claim 9 , wherein to determine the second subgroup comprises to:
rank the distributed energy resources from a lowest storage cost to a highest storage cost; and
select the distributed energy resources in order of the ranking starting from the lowest storage cost.
12 . The dispatch optimization system of claim 9 , wherein to determine the first subgroup of the fleet of distributed energy resources is further based on a health value of each distributed energy resource.
13 . The dispatch optimization system of claim 12 , wherein to determine the first subgroup comprises to:
determine the economic costs of a group of distributed energy resources of the fleet of distributed energy resources are within a range; and
select distributed energy resources from the group to include in the first subgroup based on the health value of each distributed energy resource of the group.
14 . The dispatch optimization system of claim 9 , wherein to determine the second subgroup of the fleet of distributed energy resources is based on a health value of each distributed energy resource.
15 . The dispatch optimization system of claim 14 , wherein to determine the second subgroup comprises to:
determine the storage costs of a group of distributed energy resources of the fleet of distributed energy resources are within a range; and
select distributed energy resources from the group to include in the second subgroup based on the health value of each distributed energy resource of the group.
16 . A non-transitory computer-readable medium that stores a set of instructions which when executed by a processor perform a method comprising:
determining an energy need;
determining a first subgroup of a fleet of distributed energy resources to use to meet the energy need based on an economic cost to use each distributed energy resource to meet a portion of the energy need;
determining a second subgroup of the fleet of distributed energy resources to use to meet the energy need based on a storage cost to use each distributed energy resource to meet the portion of the energy need, wherein:
the storage cost indicates a difference between a current deviation and a final deviation;
the current deviation being a difference between a current storage level and an ideal storage level; and
the final deviation being a difference between a final storage level and the ideal storage level;
in response to determining the first subgroup and the second subgroup, transmitting an instruction to the distributed energy resources of the first subgroup and second subgroup to perform an energy adjustment comprising one of (i) discharging energy, (ii) consuming energy, or (iii) both (i) and (ii) to meet the energy need; and
performing the energy adjustment by the distributed energy resources of the first subgroup and second subgroup in response to receiving the transmitted instruction.
17 . The method of claim 1 , further comprising determining the storage cost to use each distributed energy resource to meet the portion of the energy need.
18 . The method of claim 17 , wherein determining the storage cost to use each distributed energy resource to meet the portion of the energy need comprises, for each distributed energy resource:
determining the current deviation;
determining the final deviation; and
determining the difference between the final deviation and the current deviation.
19 . The dispatch optimization system of claim 9 , wherein the data instructions, when executed by the at least one processing device, further cause the dispatch optimization system to:
determine the storage cost to use each distributed energy resource to meet the portion of the energy need.