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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 flexible datacenters, 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 more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. In some situations, a computational operation is supported by multiple datacenters in a redundant arrangement, such as multiple flexible datacenters.

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 flexible datacenters, 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 more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. A queue system may be used to organize computational operations waiting for distribution to either the critical datacenter or the flexible datacenter.

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 flexible datacenters, 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 more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. A queue system may be used to organize computational operations waiting for distribution to either the critical datacenter or the flexible datacenter.

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: 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: 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: 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: 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.