Abstract: At least one aspect of the present disclosure is directed to systems and methods for application specific battery container configurations. A controller can receive, from the microgrid, an indication of demand for power to complete operations within a worksite. The microgrid supplied with power from one or more of a plurality of energy containers in a first configuration. The controller can determine to identify a second configuration for the plurality of energy containers, based on the first configuration as compared to a one or more criteria. The controller can identify the second configuration of the plurality of energy containers, which satisfies the one or more criteria. The controller can modify a configuration of the plurality of energy containers to complete the operations within the worksite, from the first configuration to the second configuration.

Abstract: A refueling prediction mode in a microgrid power system may include inputting historical load and weather date of the microgrid power system to a forecasting block and determining forecasted site load and weather factors for the microgrid power system. The forecasted site load and weather factors may be used along with fuel efficiency curves and asset fuel levels for power assets of the microgrid power system, along with other information, to determine an asset dispatch schedule and a refueling timeline for the power assets. Asset dispatch commands based on the asset dispatch schedule and an actual site load may be output to the power assets to meet the load demand on the microgrid power system. A sustained reliability mode may use the information plus real-time fuel costs for the power assets to determine an asset dispatch schedule for longest microgrid sustenance for the power assets.

Abstract: A microgrid human-machine interface (HMI) associated with a microgrid includes one or more memories configured to store energy resource information corresponding to a plurality of energy resource systems, wherein the energy resource information defines a respective plurality of attributes for each energy resource system; a display unit; one or more processors, coupled to the one or more memories, configured to: evaluate the respective plurality of attributes for each energy resource system, automatically group the plurality of energy resource systems into a plurality of groups based on the respective plurality of attributes for each energy resource system, and cause the display unit to display an adaptive graphical user interface (GUI) based on the plurality of groups; and an input interface configured to receive user input for manipulating the adaptive GUI. The adaptive GUI is configured to selectively display the plurality of energy resource systems according to the plurality of groups.

Abstract: A microgrid controller of a microgrid includes a communication interface configured to receive load information corresponding to a plurality of loads connected to the microgrid, receive energy resource information corresponding to a plurality of energy resource systems connected to the microgrid, and output control signals for controlling an operation of each energy resource system; and one or more processors configured to perform at least two dispatch operations selected from a load balance dispatch operation, an export dispatch operation, or a charge/discharge dispatch operation according to a prioritization dispatch scheme. The load balance dispatch operation, the export dispatch operation, and the charge/discharge dispatch operation are assigned different dispatch priorities that define a sequence of dispatch operations of the prioritization dispatch scheme. The plurality of energy resource systems includes energy storage systems (ESSs), unidirectional non-ESSs, and bidirectional non-ESSs.

Abstract: A microgrid controller of a microgrid configured to receive load information corresponding to a plurality of loads connected to the microgrid, receive energy resource information corresponding to a plurality of energy resource systems connected to the microgrid monitor one or more microgrid parameters, according to a soft diagnostic condition, based on at least one of the energy resource information or the load information, detect a soft trigger event based on the one or more microgrid parameters satisfying the soft diagnostic condition, in response to the soft diagnostic condition being satisfied, monitor the one or more microgrid parameters, according to a hard diagnostic condition, based on at least one of the energy resource information or the load information, detect a hard trigger event based on the one or more microgrid parameters satisfying the hard diagnostic condition, and in response to the hard diagnostic condition being satisfied, generate a hard alarm.

Abstract: A microgrid controller may measure a group state-of-charge (SOC) of a group of energy storage systems (ESSs), calculate a total real power demanded by a plurality of loads, determine an available real power for a group of renewable-energy-based (REB) energy resource systems, determine whether the available real power is greater than a sum of the total real power and an ESS parasitic consumption of the group of ESSs, and, based on the available real power being greater than the sum, generate first control signals for turning off a group of fuel-based (FB) energy resource systems or for maintaining the group of FB energy resource systems in an off-state, or, based on the available real power being less than or equal to the sum, generate second control signals for turning on the group of FB energy resource systems or for maintaining the group of FB energy resource systems in an on-state.

Abstract: A microgrid controller of a microgrid includes a communication interface configured to receive load information corresponding to a current load demand of a plurality of loads connected to the microgrid and output control signals for controlling energy resource systems associated with the microgrid, which include a non-stabilizing group and a stabilizing group; and one or more processors, coupled to the one or more memories, configured to execute a load stabilization algorithm to generate the one or more control signals based on the load information. Executing the load stabilization algorithm includes generating, based on the load information, one or more first control signals to dynamically control an amount of total output power provided by the stabilizing group to a power distribution network of the microgrid in order to stabilize one or more cyclic loads on the power distribution network and to maintain the non-stabilizing group at a substantially constant load.

Abstract: A microgrid controller of a microgrid includes one or more memories configured to store a plurality of state-of-charge (SOC) setpoints corresponding to one or more energy storage systems (ESSs), a lower dispatch threshold that varies based on the plurality of SOC setpoints, and an upper dispatch threshold that varies based on the plurality of SOC setpoints. The microgrid controller is configured to calculate a total load allocated to a plurality of energy resource systems, measure a current SOC of the one or more ESSs, determine an aggregate output power of one or more non-ESSs based on a relationship of the total load relative to the lower dispatch threshold and the upper dispatch threshold for the current SOC, configure the one or more non-ESSs to provide the aggregate output power, and set the one or more ESSs into one of a plurality of operation states based on the relationship.

Abstract: The system obtains a load required by a power grid and specifications of power sources. The specification indicates an amount of power that the power source can provide. The system obtains rules indicating a first power source based on the load, where the rules indicate a first power level of the first power source. The system provides the first power and level to an optimizer to determine a second power source and level by optimizing operation of the power source. The system obtains a time threshold and, based on the threshold, obtains the second power source and level from the optimizer. The system determines whether the first power source and level or the second power source and level are closer to a desired operation. Based on the determination, the system operates the first power source at the first power level or the second power source at the second power level.

Abstract: A self-activating fault protection circuit for an electrical charging system for an on-vehicle rechargeable energy storage device that includes a DC-DC boost converter is described. The self-activating fault protection circuit includes, in one embodiment, an electrical connector including a positive cable and a negative cable, high-voltage electric power bus, and a self-activating fault protection circuit including a high-voltage diode. The DC-DC boost converter is electrically connected to the rechargeable energy storage device via the high-voltage electric power bus, and the electrical connector is electrically connected to the DC-DC boost converter via the positive cable and the negative cable. The high-voltage diode is arranged in the negative cable between the electrical connector and the DC-DC boost converter.

Abstract: An microgrid with a microgrid controller characterizes individual power generating assets of the microgrid by determining the level of expected parasitic losses in the delivery of power from the assets to loads that are being powered by the microgrid. The controller may command changes in the power delivery from a particular asset and then observe how a swing machine responds to those changes. By comparing the change in power delivery from the asset to the compensatory change in power delivered by the swing machine, the controller characterizes the expected parasitic losses in the delivery of power from the asset. The controller may generate and/or update a parasitic loss model for the asset and subsequently use that parasitic loss model to dispatch power from that asset in the future, such that the power dispatched takes into account the expected parasitic losses in the delivery of the power.

Abstract: Microgrid control techniques that combine the benefits of both rule-based and optimizer-based approaches. The techniques are flexible enough to find optimal or near-optimal economic dispatch solutions based on real-time conditions, but that is also deterministic by always reliably calculating a result within a guaranteed timeframe. These techniques provide the optimality of optimizer methods along with the reliability of rule-based methods for microgrid control.

Abstract: A microgrid controller microgrid controller of a microgrid system includes processing circuitry configured to calculate real time power demand on the microgrid system; identify candidate energy assets of the microgrid system to activate according to the calculated real time power demand; dispatch candidate energy assets according to lower unit power cost when the candidate energy assets have unit power cost that does not vary with overlapping power distribution among multiple energy assets regardless of whether the unit power cost varies with time; dispatch candidate energy assets according to an a-priori determined optimization of power distribution when the candidate energy assets have unit power cost that varies with overlapping power distribution and does not vary with time; and dispatch candidate energy assets according to real time optimization of power distribution when the candidate energy assets have unit power cost that varies with overlapping power distribution and varies with time.

Abstract: A method of operating a microgrid system includes: obtaining a microgrid dispatch schedule input that includes a schedule of required electrical energy generation for the microgrid system for a given time period; filtering the scheduled dispatch input and converting the scheduled dispatch input into power levels to meet power demands for required electrical energy generation of the dispatch schedule input for the microgrid system; receiving a current load level for the microgrid system based on one or more electrical loads electrically coupled to the microgrid system; comparing the schedule of required electrical energy generation to an actual required electrical energy generation for the microgrid system; and dispatching one or more electrical assets in real time to meet a difference between the scheduled required electrical energy generation and the actual required electrical energy generation.

Abstract: A self-activating fault protection circuit for an electrical charging system for an on-vehicle rechargeable energy storage device that includes a DC-DC boost converter is described. The self-activating fault protection circuit includes, in one embodiment, an electrical connector including a positive cable and a negative cable, high-voltage electric power bus, and a self-activating fault protection circuit including a high-voltage diode. The DC-DC boost converter is electrically connected to the rechargeable energy storage device via the high-voltage electric power bus, and the electrical connector is electrically connected to the DC-DC boost converter via the positive cable and the negative cable. The high-voltage diode is arranged in the negative cable between the electrical connector and the DC-DC boost converter.