Abstract: An energy management system having a centralized site controller is provided with thermostats in multiple zones, each thermostat having the capability of acting as a remote terminal to the controller. Each thermostat provides an interface to the site controller while simultaneously acting as the thermostat for each zone. The thermostat can display information concerning the state of the building's lighting and HVAC systems for any zone and allow the local user to initiate local overrides of set points. In an embodiment, override requests are received by the central controller and merged with the settings for the current control algorithms.

Abstract: Methods for creating high quality alarms raise EMS operator awareness to abnormal conditions in monitored assets across multiple sites in a single EMS software platform. An embodiment includes steps for accessing an alarm designer software tool that contains a library of alarm definitions and the ability to create new alarm definitions, clone and edit existing alarm definitions, lock alarm definitions and delete alarm definitions. Applicable data is defined using channel attributes identifying which channel or channels associated with the multiple monitored sites are to be evaluated for alarming conditions. The alarm frequency, trigger conditions, pending open duration, close conditions, and pending close duration are also defined. Alarms can trigger upon one or more channels' behavior over periods of time and conditional relationships between multiple channels. Close conditions for an alarm can be, but are not required to be, the resolution of the trigger conditions.

Abstract: Methods and systems are provided for optimizing the control of energy supply and demand. An energy control unit includes one or more algorithms for scheduling the control of energy consumption devices on the basis of variables relating to forecast energy supply and demand. Devices for which energy consumption can be scheduled or deferred are activated during periods of cheapest energy usage. Battery storage and alternative energy sources (e.g., photovoltaic cells) are activated to sell energy to the power grid during periods that are determined to correspond to favorable cost conditions.

Abstract: A system that enables power flow management for electrical devices, such as electric vehicles. Power flow managers can coordinate charging activities. Power flow decisions may be based on site-level information. Power flow management strategies may be optimized. Power spikes may be avoided by using safe failure modes. Generation stacks may be used for reducing cost. AGC commands are used to control power resources. Power regulation are apportioned to power resources, and power regulation ranges may be determined. Power flow strategies are implemented in response to changes in intermittent power flow. Locations of devices may be determined using network fingerprints. Power flow measurements are determined, and AC power flows are inferred from DC power flows. Network traffic consumption are minimized. Communication protocols are translated.

Abstract: Systems and methods are described for a power aggregation system. In one implementation, a method includes charging an electric resource over a power connection to an electric network, obtaining a unique identifier of a device over the power connection, and determining an electric network location of the electric resource from the unique identifier.

Abstract: Disclosed is a computerized method for dispatching energy from distributed resources in a discharge event so that the energy stored in individual devices is levelized, or so that an operator request is met. Evaluation of event parameters may be deferred. The method may be utilized to dispatch energy from plug-in electric vehicles. Systems and methods to account for electricity dispatched to or from electric vehicles are disclosed. Systems and methods for incentivizing consumers to participate in a dispatch event or curtail energy use are disclosed.

Abstract: A system and method for managing power consumption and storage in a power grid. Measurements are received from a plurality of geographically distributed energy management controllers. Each energy management controllers has energy storage units with stored energy. The measurements comprise the energy production and storage capacity of the energy management controllers and their associated energy storage units. The measurements are processed, e.g., aggregated, and displayed on a graphical user interface. Commands are transmitted to a first subset of the energy management controllers to command the units to discharge their stored energy into a power grid through an inverter. Commands are transmitted to a second subset of the plurality of energy management controllers to store energy in each unit's energy storage unit.

Abstract: A system and method are disclosed for dynamically learning the optimum energy consumption operating condition for a building and monitor/control energy consuming equipment to keep the peak demand interval at a minimum. The dynamic demand limiting algorithm utilized employs two separate control schemes, one for HVAC loads and one for non-HVAC loads. Separate operating parameters can be applied to the two types of loads and multiple non-HVAC (control zones) loads can be configured. The algorithm uses historical peak demand measurements in its real-time limiting strategy. The algorithm continuously attempts to reduce peak demand within the user configured parameters. When a new peak is inevitable, the algorithm strategically removes and/or introduces loads in a fashion that limits the new peak magnitude and places the operating conditions within the user configured parameters. In an embodiment, the algorithm that examines the previous seven days of metering information to identify a peak demand interval.

Abstract: A VAR dispatch system. A central control system connected to a network is configured to receive data reflecting local variations in conditions on a power grid and to transmit system control commands over the network. A plurality of VAR dispatch devices are connected to the network and to the power grid. Each VAR dispatch device is configured to detect local variations in conditions on the power grid and to transmit the data reflecting such local variations to the central control system and to receive control commands from the central control system. Each VAR dispatch device is configured to store power and to output stored power to the power grid based on local variations in conditions on the power grid. Each VAR dispatch device is further configured to output stored power to the power grid when the VAR dispatch device receives system control commands from the central control system.

Abstract: Systems and methods are described for a power aggregation system. In one implementation, a method includes establishing a communication connection with each of multiple electric resources connected to a power grid, receiving an energy generation signal from a power grid operator, and controlling a number of the electric resources being charged by the power grid as a function of the energy generation signal.

Abstract: Methods and systems are provided for optimizing the control of energy supply and demand. An energy control unit includes one or more algorithms for scheduling the control of energy consumption devices on the basis of variables relating to forecast energy supply and demand. Devices for which energy consumption can be scheduled or deferred are activated during periods of cheapest energy usage. Battery storage and alternative energy sources (e.g., photovoltaic cells) are activated to sell energy to the power grid during periods that are determined to correspond to favorable cost conditions.

Abstract: Systems and methods are described for a power aggregation system. A method includes charging an electric resource over a power connection to an electric network, obtaining a unique identifier of a device over the power connection, and determining an electric network location of the electric resource from the unique identifier.

Abstract: A system that dynamically learns the optimum energy consumption operating condition for a building and monitors/controls energy consuming equipment to keep the peak demand interval at a minimum. The algorithm employs two separate control schemes, one for HVAC loads and one for non-HVAC loads, and uses historical peak demand measurements in its real-time limiting strategy. The algorithm continuously attempts to reduce peak demand within user configured parameters. When a new peak is inevitable, the algorithm removes and/or introduces loads to limit the new peak magnitude and places the operating conditions within the user configured parameters. The algorithm can examine the previous seven days of metering information to identify a peak demand interval, use real-time load information to predict the demand peak of the upcoming interval, and curtail loads in order to limit the demand peak so as not to set a new peak.

Abstract: A system and method for managing power consumption and storage in a power grid. Measurements are received from a plurality of geographically distributed energy management controllers. Each energy management controllers has energy storage units with stored energy. The measurements comprise the energy production and storage capacity of the energy management controllers and their associated energy storage units. The measurements are processed, e.g., aggregated, and displayed on a graphical user interface. Commands are transmitted to a first subset of the energy management controllers to command the units to discharge their stored energy into a power grid through an inverter. Commands are transmitted to a second subset of the plurality of energy management controllers to store energy in each unit's energy storage unit.

Abstract: Disclosed is a computerized method for dispatching energy from distributed resources in a discharge event so that the energy stored in individual devices is levelized, or so that an operator request is met. Evaluation of event parameters may be deferred. The method may be utilized to dispatch energy from plug-in electric vehicles. Systems and methods to account for electricity dispatched to or from electric vehicles are disclosed. Systems and methods for incentivizing consumers to participate in a dispatch event or curtail energy use are disclosed.

Abstract: Systems and methods are described for a power aggregation system. In one implementation, a method includes a establishing a communication connection with each of multiple electric resources connected to a power grid, receiving an energy generation signal from a power grid operator, and controlling a number of the electric resources being charged by the power grid as a function of the energy generation signal.

Abstract: A system that enables power flow management for electrical devices, such as electric vehicles. Power flow managers can coordinate charging activities. Power flow decisions may be based on site-level information. Power flow management strategies may be optimized. Power spikes may be avoided by using safe failure modes. Generation stacks may be used for reducing cost. AGC commands are used to control power resources. Power regulation are apportioned to power resources, and power regulation ranges may be determined. Power flow strategies are implemented in response to changes in intermittent power flow. Locations of devices may be determined using network fingerprints. Power flow measurements are determined, and AC power flows are inferred from DC power flows. Network traffic consumption are minimized. Communication protocols are translated.

Abstract: Systems and methods are provided for collecting and aggregating a plurality of power flow measurements from a plurality of devices in a power management system. The error bounds of the aggregated power flow measurement are then determined using at least one error model. Systems and methods are also provided for inferring AC power flows from DC power flows. A device having at least one DC power flow sensor is augmented with at least one AC power flow sensor AC and DC power flows through the device are measured using the sensors over a range of operating points. An inference model of AC power flow in the device as a function of DC power flow is then built, wherein the error of the model is bounded. DC power flow through the device and in similar devices can then be then measured and used to infer AC power flow for the device.

Abstract: A wireless base unit communicates with one or more wireless load manager units to receive power measurements for one or more loads connected to the wireless load manager. In response to dynamic variables, such as the changing price of electricity, the wireless base unit transmits commands to the wireless load manager to shut off or reduce power consumed by the one or more loads. In one variation, a wireless adapter also receives commands from the wireless base unit and converts the commands into a vendor-specific format used to control other devices such as a photovoltaic (PV) inverter.

Abstract: A system that enables power flow management for electrical devices, such as electric vehicles. Power flow managers can coordinate charging activities. Power flow decisions may be based on site-level information. Power flow management strategies may be optimized. Power spikes may be avoided by using safe failure modes. Generation stacks may be used for reducing cost. AGC commands are used to control power resources. Power regulation are apportioned to power resources, and power regulation ranges may be determined. Power flow strategies are implemented in response to changes in intermittent power flow. Locations of devices may be determined using network fingerprints. Power flow measurements are determined, and AC power flows are inferred from DC power flows. Network traffic consumption are minimized. Communication protocols are translated.