Abstract: Certain aspects of the present disclosure provide techniques for controlling a plurality of energy assets. In examples, the techniques may include receiving an input indicative of selection of a first optimization strategy and a second optimization strategy of a plurality of optimization strategies related to controlling a plurality of energy assets; determining a plurality of values for a plurality of operational parameters for the plurality of energy assets based on the first optimization strategy and the second optimization strategy, wherein determining the plurality of values for the plurality of operational parameters for the plurality of energy assets comprises determining a first value for a first operational parameter for a first energy asset based on the first optimization strategy and the second optimization strategy; and controlling the plurality of energy assets based on the plurality of operational parameters.

Abstract: Certain aspects of the present disclosure provide techniques for electric vehicle charging management. In one example, a method includes: building a graph representing an electrical topology of the electric vehicle charging facility and producing an updated graph by updating a state of the one or more network nodes based on electric current or power flow through the one or more passive electric components and updating a state of the one or more component nodes based on electric current or power produced or consumed by the one or more active electric components. The method further includes receiving a selected control strategy for the electric vehicle charging facility and adjusting an electric current or a power draw of an electric vehicle charging station in the electric vehicle charging facility based on the updated graph and the selected control strategy.

Abstract: Certain aspects of the present disclosure provide techniques for charging a plurality of electric assets. One embodiment of a system includes EVSE for charging an EV, the EVSE including a three-phase transformer for sending energy to the EV and an edge environment that is coupled to the EVSE. The edge environment may include logic that causes the system to receive configuration information associated with the EVSE, where the configuration information includes a phase assignment for the EVSE, determine whether the phase assignment is labeled as unknown, where the phase assignment of unknown was applied in response to a determination that a previous phase assignment was invalid or missing, and generate an optimization problem for the EVSE. In some embodiments, the logic may cause the system to solve the optimization problem to generate a trajectory for the three-phase transformer and cause implementation of the trajectory on the EVSE.

Abstract: Certain aspects of the present disclosure provide techniques for electric vehicle charging management. In one example, a method includes: building a graph representing an electrical topology of the electric vehicle charging facility and producing an updated graph by updating a state of the one or more network nodes based on electric current or power flow through the one or more passive electric components and updating a state of the one or more component nodes based on electric current or power produced or consumed by the one or more active electric components. The method further includes receiving a selected control strategy for the electric vehicle charging facility and adjusting an electric current or a power draw of an electric vehicle charging station in the electric vehicle charging facility based on the updated graph and the selected control strategy.