Abstract: An energy aggregation system comprises a bus configured to receive power from one or more power sources and to deliver power to a grid connected to the bus; at least one energy storage system connected to the bus and configured either to draw power from the bus or discharge power to the bus; at least one electric vehicle charging stall connected to the bus and configured to deliver power, from an electric vehicle load connected to the at least one electric vehicle charging stall, to the bus; and at least one control module configured to monitor power on the bus and control delivery of power from the bus to the grid.

Abstract: In an embodiment, a power distribution automation applications network includes multiple intelligent nodes in communication with each other, each having a hardware and software platform, with data processing and communications functionality. The intelligent nodes are integrated or embedded with grid components. The nodes each implement a part or whole of a grid operating system that includes a set of software applications for automated and supervisory monitoring, control, protection, and optimization of an electric power system with embedded distributed energy resources and distributed information resources. The grid operating system both manages the grid and facilitates the integration of distributed energy resources and distributed information resources in an electric power system.

Abstract: An electric vehicle charging depot comprises a direct current (DC) bus configured to receive DC power from one or more power sources, the one or more power sources at least including a public transit light rail and/or subway power source; at least one electric vehicle charging stall connected to the DC bus and configured to charge an electric vehicle load; and at least one control module configured to monitor and control power flow from the DC bus to the at least one electric vehicle charging stall.

Abstract: An electric vehicle charging station comprises a direct current (DC) bus configured to receive DC power from multiple power sources including at least one battery energy storage system (BESS); at least one electric vehicle charging stall connected to the DC bus and configured to charge an electric vehicle load; and a controller configured to monitor and control power flow from the DC bus to the at least one electric vehicle charging stall and to monitor and control power flow between the BESS and the DC bus.

Abstract: A method comprises charging an electric vehicle using a connector connected at a first end to a direct current power source and at a second end to the electric vehicle, monitoring a state of charge of the electric vehicle, and when the state of charge exceeds a predefined state of charge level: disconnecting the first end of the connector from the direct current power source, connecting the first end of the connector to an alternating current source, and charging the electric vehicle using the connector connected at the first end to the alternating current source while the second end remains connected to the electric vehicle.

Abstract: An integrated microgrid management system includes hardware operating as a node on an electrical power network. The node includes memory storing program code, a communications channel operatively connected to a plurality of controllable power devices, and a processor. In an embodiment, the processor is configured to implement a three-phase AC unbalanced model of a microgrid network, for both low and medium voltage networks. The processor is further configured to implement a topology processor that creates a map identifying controllable power devices that are connected to the network and how said controllable power devices are connected. The processor also implements an online power flow engine that uses the map and the three-phase AC unbalanced model of the network to generate commands to control the plurality of controllable power devices. Adaptive self-configuration logic and an optimization engine that performs multi-objective optimization are further disclosed.

Abstract: In an embodiment, a power distribution automation applications network includes multiple intelligent nodes in communication with each other, each having a hardware and software platform, with data processing and communications functionality. The intelligent nodes are integrated or embedded with grid components. The nodes each implement a part or whole of a grid operating system that includes a set of software applications for automated and supervisory monitoring, control, protection, and optimization of an electric power system with embedded distributed energy resources and distributed information resources. The grid operating system both manages the grid and facilitates the integration of distributed energy resources and distributed information resources in an electric power system.

Abstract: In an embodiment, a power distribution automation applications network includes multiple intelligent nodes in communication with each other, each having a hardware and software platform, with data processing and communications functionality. The intelligent nodes are integrated or embedded with grid components. The nodes each implement a part or whole of a grid operating system that includes a set of software applications for automated and supervisory monitoring, control, protection, and optimization of an electric power system with embedded distributed energy resources and distributed information resources. The grid operating system both manages the grid and facilitates the integration of distributed energy resources and distributed information resources in an electric power system.

Abstract: An integrated microgrid management system includes hardware operating as a node on an electrical power network. The node includes memory storing program code, a communications channel operatively connected to a plurality of controllable power devices, and a processor. In an embodiment, the processor is configured to implement a three-phase AC unbalanced model of a microgrid network, for both low and medium voltage networks. The processor is further configured to implement a topology processor that creates a map identifying controllable power devices that are connected to the network and how said controllable power devices are connected. The processor also implements an online power flow engine that uses the map and the three-phase AC unbalanced model of the network to generate commands to control the plurality of controllable power devices. Adaptive self-configuration logic and an optimization engine that performs multi-objective optimization are further disclosed.

Abstract: Various distribution side controllers for power systems are disclosed. Power systems includes a power generation subsystem and one or more distribution networks. Power systems may also include a transmission system coupled between the power generation subsystem and the distribution networks. The distribution side controller monitors the operation and availability of power from distributed power sources coupled to its respective distribution network, as well as load demand from loads on the distribution network. The distribution side controller may also monitor conditions on the distribution network to identify a power imbalance within the distribution network. The distribution side controller responds to such imbalances to reduce their effect on the power system as a whole. In some embodiments, multiple distribution side controllers for various distribution networks may cooperate to provide efficient power generation for the whole power systems.

Abstract: An integrated microgrid management system includes hardware operating as a node on an electrical power network. The node includes memory storing program code, a communications channel operatively connected to a plurality of controllable power devices, and a processor. In an embodiment, the processor is configured to implement a three-phase AC unbalanced model of a microgrid network, for both low and medium voltage networks. The processor is further configured to implement a topology processor that creates a map identifying controllable power devices that are connected to the network and how said controllable power devices are connected. The processor also implements an online power flow engine that uses the map and the three-phase AC unbalanced model of the network to generate commands to control the plurality of controllable power devices. Adaptive self-configuration logic and an optimization engine that performs multi-objective optimization are further disclosed.

Abstract: A control, protection and power management system for an energy storage system, comprises an interface configured to communicate and provide energy exchange with a host power system, a local load, and the energy storage system, and processing structure configured to receive signals from the host power system and the energy storage system, to determine a mode of operation of the energy storage system and to provide control, protection and power management to the energy storage system.

Abstract: A system, method and controller for managing and controlling a micro-grid network. The system includes a plurality of energy resources including at least one dispatchable energy resource and at least one intermittent energy resource, wherein the at least one of the energy resources is an energy storage element and at least one of the intermittent energy resources is responsive to environmental conditions to generate power, a controller configured to record operational constraints of the energy resources, obtain an environmental condition prediction and generate a component control signal based on the environmental condition prediction and the operational constraints corresponding to the energy resources. The controller is further configured to receive a network disturbance signal and generate a dynamic control signal based on such disturbances.

Abstract: An integrated microgrid management system includes hardware operating as a node on an electrical power network. The node includes memory storing program code, a communications channel operatively connected to a plurality of controllable power devices, and a processor. In an embodiment, the processor is configured to implement a three-phase AC unbalanced model of a microgrid network, for both low and medium voltage networks. The processor is further configured to implement a topology processor that creates a map identifying controllable power devices that are connected to the network and how said controllable power devices are connected. The processor also implements an online power flow engine that uses the map and the three-phase AC unbalanced model of the network to generate commands to control the plurality of controllable power devices. Adaptive self-configuration logic and an optimization engine that performs multi-objective optimization are further disclosed.

Abstract: In an embodiment, a power distribution automation applications network includes multiple intelligent nodes in communication with each other, each having a hardware and software platform, with data processing and communications functionality. The intelligent nodes are integrated or embedded with grid components. The nodes each implement a part or whole of a grid operating system that includes a set of software applications for automated and supervisory monitoring, control, protection, and optimization of an electric power system with embedded distributed energy resources and distributed information resources. The grid operating system both manages the grid and facilitates the integration of distributed energy resources and distributed information resources in an electric power system.

Abstract: A control, protection and power management system for an energy storage system, comprises an interface configured to communicate and provide energy exchange with a host power system, a local load, and the energy storage system, and processing structure configured to receive signals from the host power system and the energy storage system, to determine a mode of operation of the energy storage system and to provide control, protection and power management to the energy storage system.

Abstract: Various distribution side controllers for power systems are disclosed. Power systems includes a power generation subsystem and one or more distribution networks. Power systems may also include a transmission system coupled between the power generation subsystem and the distribution networks. The distribution side controller monitors the operation and availability of power from distributed power sources coupled to its respective distribution network, as well as load demand from loads on the distribution network. The distribution side controller may also monitor conditions on the distribution network to identify a power imbalance within the distribution network. The distribution side controller responds to such imbalances to reduce their effect on the power system as a whole. In some embodiments, multiple distribution side controllers for various distribution networks may cooperate to provide efficient power generation for the whole power systems.