Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexboxes, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed at a lower cost at a flexible datacenter, the computational operation is instead routed to the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably shared a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions.

Abstract: A system includes a behind-the-meter vehicle charging station. The vehicle charging station includes a vehicle-charging interface configured to supply the vehicle-charging power to a vehicle. The vehicle charging station further includes a communication unit configured to trigger a notification in response to a change in power availability. Additionally, the system includes a control system configured to modulate power delivery to the behind-the-meter charging station based on one or more monitored power system conditions or an operational directive.

Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

Abstract: Example embodiments for providing computation resource availability based on power-generation signals are presented herein. An embodiment may involve receive information indicative of power-generation economic signals at a first control system and identifying at least one of: (i) a change in a power-generation economic signal that exceeds a predefined threshold change, (ii) a power-generation economic signal that is below a predefined lower threshold limit, or (iii) a power-generation economic signal that is above a predefined upper threshold limit. Responsive to the identification, the embodiment involves performing at least one of: (i) adjusting a rate of power use by a flexible datacenter, and (ii) providing an indication of computation resource availability to a second control system.

Abstract: Examples relate to a method includes monitoring a set of parameters. The set of parameters are associated with a first set of computing components and a second set of computing components. The first set of computing components is located in a first region and the second set of computing components is located in a second region. The first region is positioned proximate a generation station control system associated with a generation station and the second region is positioned remotely from the generation station control system. Each computing system of the second set of computing components is configured to adjust power consumption during operation. The method also include adjusting power consumption at one or more computing components of the second set of computing components based on the set of parameters.

Abstract: A system includes a flexible datacenter and a power generation unit that generates power on an intermittent basis. The flexible datacenter is coupled to both the power generation unit and grid power through a local station. By various methods, a control system may detect a transition of the power generation unit into a stand-down mode and selectively direct grid power delivery to always-on systems in the flexible datacenter.

Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexboxes, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed art a lower cost at a flexible datacenter, the computational operation is instead routed to the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably shared a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions.

Abstract: Example embodiments for providing computation resource availability based on power-generation signals are presented herein. An embodiment may involve receive information indicative of power-generation economic signals at a first control system and identifying at least one of: (i) a change in a power-generation economic signal that exceeds a predefined threshold change, (ii) a power-generation economic signal that is below a predefined lower threshold limit, or (iii) a power-generation economic signal that is above a predefined upper threshold limit. Responsive to the identification, the embodiment involves performing at least one of: (i) adjusting a rate of power use by a flexible datacenter, and (ii) providing an indication of computation resource availability to a second control system.

Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

Abstract: In an example embodiment, a distributed power control system can include a datacenter and a remote master control system. The datacenter can include (i) computing systems, (ii) a behind-the-meter power input system configured to receive power from a behind-the-meter power source and deliver power to the computing systems, and (iii) a datacenter control system configured to control the computing systems and the behind-the-meter power input system. The remote master control system can be configured to issue instructions to the datacenter that affect an amount of behind-the-meter power consumed by the datacenter. The datacenter control system can receive, from a local station control system configured to at least partially control the behind-the-meter power source, a directive for the datacenter to ramp-down power consumption, and in response to receiving the directive, cause the computing systems to perform a set of predetermined operations correlated with the directive.

Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

Abstract: Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

Abstract: A system includes a flexible datacenter and an energy storage unit that receives and stores power from one or more grid-scale power generation units. The energy storage unit and the flexible datacenter are connected behind-the-meter to the power generation unit(s) such that they are not typically subject to grid transmission and distribution fees. By various methods, behind-the-meter power is routed between the power generation unit(s), the energy storage unit, the flexible datacenter, and/or the grid based on a variety of conditions and operational directives.

Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a transportation hub electrically coupled to a BTM power source via a branch line. The transportation hub may receive behind-the-meter (“BTM”) power from the BTM power source. The system may also include a datacenter control system configured to modulate power delivery to the transportation hub based on a set of monitored conditions. The set of monitored conditions may include BTM power availability at the transportation hub. In some examples, the datacenter control system is a remote master control system positioned remotely from the transportation hub.

Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a set of computing systems powered by behind-the-meter power and a datacenter control system. The datacenter control system may be configured to monitor a set of conditions that includes behind-the-meter power availability at the set of computing systems and perform a weighted analysis using the set of monitored conditions. Based on the weighted analysis, the datacenter control system may be configured to modulate operating attributes of one or more computing systems of the set of computing systems. In some examples, the datacenter control system is a remote master control system in communication with a datacenter control system of a flexible datacenter housing the set of computing systems.

Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a plurality of computing systems that receive behind-the-meter (“BTM”) power from a BTM power source. The system may include a first controller configured to control a first set of computing systems and a second controller configured to control a second set of computing systems of the plurality of computing systems. The system may also include a third controller communicatively coupled to the first controller and the second controller. The third controller is configured to provide instructions to the first controller and the second controller based on BTM power availability at the plurality of computing systems.

Abstract: A system includes a flexible datacenter and an energy storage unit that receives and stores power from one or more grid-scale power generation units. The energy storage unit and the flexible datacenter are connected behind-the-meter to the power generation unit(s) such that they are not typically subject to grid transmission and distribution fees. By various methods, behind-the-meter power is routed between the power generation unit(s), the energy storage unit, the flexible datacenter, and/or the grid based on a variety of conditions and operational directives.

Abstract: Examples relate to flexible datacenters or other power loads tolerant of intermittent operation and configured to use power received behind-the-meter. A system may include a transportation hub electrically coupled to a BTM power source via a branch line. The transportation hub may receive behind-the-meter (“BTM”) power from the BTM power source. The system may also include a datacenter control system configured to modulate power delivery to the transportation hub based on a set of monitored conditions. The set of monitored conditions may include BTM power availability at the transportation hub. In some examples, the datacenter control system is a remote master control system positioned remotely from the transportation hub.

Abstract: A system includes a behind-the-meter vehicle charging station. The vehicle charging station includes a vehicle-charging interface configured to supply the vehicle-charging power to a vehicle. The vehicle charging station further includes a communication unit configured to trigger a notification in response to a change in power availability. Additionally, the system includes a control system configured to modulate power delivery to the behind-the-meter charging station based on one or more monitored power system conditions or an operational directive.