An intelligent impedance injection module is for use with transmission lines in a power grid. The intelligent impedance injection module has a plurality of transformer-less impedance injector units and a controller. The controller changes injector gain of the impedance injector units to compensate for current swings in a transmission line.

A vehicle is capable of receiving electric power supplied from a charger and capable of receiving electric power supplied from a charging mat. The charging mat is movable and capable of wireless power transfer. A method for providing a vehicle charging service includes a first step and a second step. The first step is giving, by a server, an instruction for installing the charging mat on a lane at which charging congestion is detected or predicted to occur, the charging congestion being traffic congestion for charging the electric power supplied from the charger. The second step is transmitting the electric power from the charging mat when the vehicle is detected above the charging mat installed on the lane in accordance with the instruction, and transmitting no electric power from the charging mat when the vehicle is not detected above the charging mat.

A control system for a power production facility is provided. The control system includes a plurality of power generating assets configured to supply power to a power grid. The control system further includes a controller coupled in communication with the plurality of power generating assets. The controller is configured to receive at least one feedback value corresponding to a feedback parameter. The at least one feedback value represents a measured value associated with the power grid. The control system is further configured to determine, based on the received at least one feedback value, to operate in one of a closed-loop mode or an open-loop mode of control.

Disclosed are various embodiments for optimizing energy management. A quantity of renewable power that will be generated by renewable energy generation sources can be forecasted. The energy demand for a building or a cluster of buildings can be forecasted. A pricing model for buying energy from a grid can be determined. A quantity of energy to import from the grid or export to the grid can be scheduled based on the quantity of renewable energy forecasted and the state of charge or health of battery energy storage system, current and future operations of building HVAC, lighting and plug loads system, the forecasted energy demand for the building, and the pricing of the energy from the grid.

A hardware processor may be coupled to a communication network and receive charging requests and discharging requests from a plurality of prosumer facilities via the communication network. One or more energy storage systems may be coupled to an energy grid and able to charge from and discharge to the energy grid, and may communicate with the hardware processor via the communication network. Based on the charging requests and discharging requests, an energy schedule may be generated. The energy schedule may include a first set of the prosumer facilities from which charge requests are accepted, and a second set of prosumer facilities from which discharge requests are accepted. One or several energy storage systems may be controlled or triggered to charge or discharge repeatedly via the energy grid according to an updated energy schedule (e.g., regularly updated).

Examples are disclosed that relate to computing systems having a common conductive pathway. One example provides a computing system comprising a power supply configured to output electrical power for delivery to one or more power nodes, and one or more power monitors configured to identify a power overload condition based on the power output by the power supply. The computing system further comprises a parent controller configured to, based at least on receiving an indication of the power overload condition, transmit an instruction to one or more child controllers that causes each child controller to effect a change in an operational state of a corresponding power node. The computing system also comprises a conductive pathway along which electrical power output from the power supply is transmitted for delivery to the one or more power nodes, and along which the instruction is transmitted to the one or more child controllers.

Methods, systems, and computer readable mediums for protecting and controlling a microgrid with a dynamic boundary are disclosed. One method includes detecting a fault in a microgrid that includes a dynamic point-of-common-coupling (PCC), in response to determining that the microgrid is operating in a grid-connected mode, isolating the fault by tripping a microgrid side smart switch and a grid side smart switch that are located immediately adjacent to the fault, initiating the reclosing of the grid side smart switch, and initiating the reclosing for the microgrid side smart switch via resynchronization if the grid side smart switch is successfully reclosed, and in response to determining that the microgrid is operating in an islanded mode, isolating the fault by tripping a microgrid side smart switch that is located immediately adjacent to the fault, and initiating the reclosing of the microgrid side smart switch.

A power control system utilizing real-time power system operating data to effectuate predictive load shedding so as to accurately predict the need for and the optimal type of responsive action to a contingency—before the contingency actually occurs.

This regional energy management device calculates the power interchange between consumers, on the basis of: storage battery level distribution indicating the relationship between storage battery levels and the position of storage batteries in a region at each time; excess or shortages of power for each consumer at each time, if a consumer has implemented a power supply equipment operation plan for fulfilling a consumer target index for that consumer; and an overall regional target index.

An energy management system for an off-electric-grid solar house includes a battery pack that outputs a voltage based on load and has a linear relationship between output voltage and remaining capacity, and a solar energy power source that supplies electric power to be stored in the battery pack. One or more electric devices connected to the battery pack produce the load by drawing electric power from the battery pack. One or more sensors monitor conditions in the house. A control circuit is configured to control the one or more electric devices based on the monitored conditions and the remaining capacity in the battery pack, as the battery pack is charged by electricity from the solar energy power and discharged by load from the electric devices. The control circuit manages priority among the electric devices for changing operating status depending on remaining battery capacity.