Controlling power distribution serving an aggregate of electrical loads behind a meter
AssigneeDemandQ, Inc.
InventorsBryan Keating, Jonathan Stahl, Gerardo Ventura, Sital Khatiwada
Life of this patent
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Abstract
A method, apparatus and system are provided to coordinate, manage, and optimize the electrical loads across all subsystems behind a given meter. In this approach, which is sometimes referred to herein as intelligent demand optimization, the optimized capacity needs of each subsystem are assessed in real-time, along with the available capacity of the meter and the current billing period peak. Power is then distributed dynamically to each subsystem to reduce the overall peak.
Claims12
A method to manage power distribution for a site receiving power from an electric utility grid and serving an aggregate of electric loads contained within distinct electrical subsystems, the distinct electrical subsystems being associated with a single meter and operating independently of one another such that coincident peaks for the site as a whole and as measured at the single meter are not predictable, comprising:
- for each distinct electrical subsystem, computing a grade of service (GoS) measure of a relationship between a target power requirement to service all loads within the distinct electrical subsystem and an available maximum power requirement of the distinct electrical subsystem, wherein at least one distinct electrical subsystem comprises an electric vehicle (EV) charging subsystem, the EV charging subsystem comprising a set of EV chargers at which EVs arrive and depart randomly;
- receiving the GoS measures determined for each distinct electrical subsystem;
- assessing power requirements of the distinct electrical subsystems against one another based at least in part on the GoS measures and, in response, generating an optimal power capacity limit for each distinct electrical subsystem;
- and
- providing each respective distinct electrical subsystem with its generated optimal power capacity limit.
Apparatus, comprising:
- one or more processors;
- computer memory holding computer program code executed by the one or more processors to manage power distribution for a site receiving power from an electric utility grid and serving an aggregate of electric loads contained within distinct electrical subsystems, the distinct electrical subsystems being associated with a single meter and operating independently of one another such that coincident peaks for the site as a whole and as measured at the single meter are not predictable, wherein the computer program code is configured to:
- for each distinct electrical subsystem, compute a grade of service (GoS) measure of a relationship between a target power requirement to service all loads within the distinct electrical subsystem and an available maximum power requirement of the distinct electrical subsystem, wherein at least one distinct electrical subsystem comprises an electric vehicle (EV) charging subsystem, the EV charging subsystem comprising a set of EV chargers at which EVs arrive and depart randomly;
- receive the GoS measures determined for each distinct electrical subsystem;
- assess power requirements of the distinct electrical subsystems against one another based at least in part on the GoS measures and, in response, generating an optimal power capacity limit for each distinct electrical subsystem;
- and
- provide each respective distinct electrical subsystem with its generated optimal power capacity limit.
A computer program product comprising a non-transitory computer-readable medium for use in a data processing system to manage power distribution for a site receiving power from an electric utility grid and serving an aggregate of electric loads contained within distinct electrical subsystems, the distinct electrical subsystems being associated with a single meter and operating independently of one another such that coincident peaks for the site as a whole and as measured at the single meter are not predictable, the computer program product holding computer program instructions that, when executed by the data processing system:
- for each distinct electrical subsystem, compute a grade of service (GoS) measure of a relationship between a target power requirement to service all loads within the distinct electrical subsystem and an available maximum power requirement of the distinct electrical subsystem, wherein at least one distinct electrical subsystem comprises an electric vehicle (EV) charging subsystem, the EV charging subsystem comprising a set of EV chargers at which EVs arrive and depart randomly;
- receive the GoS measures determined for each distinct electrical subsystem;
- assess power requirements of the distinct electrical subsystems against one another based at least in part on the GoS measures and, in response, generating an optimal power capacity limit for each distinct electrical subsystem;
- and
- provide each respective distinct electrical subsystem with its generated optimal power capacity limit.
Dependencies are inferred from the claim text.