Provided are a substation system including an energy storage device, a method of calculating capacity of the energy storage device, and a control apparatus for the same. The control apparatus may include a charge and discharge determination unit configured to determine a charge or discharge operation of an energy storage device based on whether a measured output value is within an output operation range; a forecast error determination unit configured to determine a ratio of a period in which the measured output value is out of the output operation range with respect to a total period; and a capacity determination unit configured to determine capacity of the energy storage device based on the ratio.

A method of transmitting reactive power between at least one wind turbine and a power system through a transformer connected between the at least one wind turbine and the power system, the wind turbine including a power converter. The method includes a second step of connecting at least one passive device to the transformer and reducing or increasing a reactive power of the power converter of an amount corresponding to the reactive contribution from the passive device.

A grid-forming wind turbine control method for a diode rectifier unit-based offshore wind power transmission system. A control system for controlling a grid-side converter has a three-layered structure, where a first layer is a combination of an active power controller and a reactive power controller; a second layer is a voltage controller; and a third layer is a current controller. The actual reactive power is represented by a per-unit value of a capacity of a corresponding wind turbine unit. The wind turbine units have the same reactive-power reference value, which is constant and does not change with time. The reactive power controllers of all wind turbine units have the same structure and parameters.

A method includes collecting energy resource data for the specific geographic location over a predetermined time period, calculating power curves and matrices for at least two energy technologies based on the collected energy resource data, estimating the potential of generated electric power over time of the at least two energy technologies based on the calculated power curves and matrices, the time period, and the characteristic parameters of each of the at least two energy technologies, simulating different base load and power variations based on the estimation of the potential generated electric power and different distribution of the electric power generation of the at least two energy technologies, identifying an optimal distribution of the at least two energy technologies by analyzing the base load and power variations for each simulation, and choosing the distribution of the electric power generation with the highest base load and lowest power variation.

A renewable energy charging system for increasing the charging efficiency of an autonomous vehicle includes a computer programed to predict, in a vehicle at a plurality of locations, an amount of power generation associated with each location. The computer selects one of the locations based at least on the predicted amounts of power generation and moves the vehicle to the selected location.

A power system may comprise a power system controller and a power storage. The power system controller may comprise a first pair of power terminals, a second pair of power terminals, at least one switch, and a central controller coupled to the at least one switch. The power storage may comprise storage power terminals connected to the first pair of power terminals. The second pair of power terminals may be coupled to a power source. The power system controller may be configured to control the switch to connect and disconnect the second pair of power terminals. The power system controller may be configured to receive power from the power storage during a process of connecting and disconnecting the second pair of power terminals.

A micro utility system. The micro utility system may include a portable container configured to house an energy storage system (ESS) and solar panel storage structures; a portable solar panel structure having two or more solar panels coupled to each other at one end, wherein the two or more solar panels are coupled to at least two wheels at a distal end of the portable solar panel structure; and circuitry configured to receive electrical power from the portable solar panel structure, wherein the circuitry includes a processor configured by machine-readable instructions to direct electrical energy from the portable solar panel structure or the ESS to a load.

Techniques and apparatus presented herein are directed to improvements in maintaining voltage and frequency stability of an electric power delivery system. To do so, model predictive control (MPC) may be used. Input data may be obtained for a sampling period and may include a current system state. The MPC may predict an initial trajectory of the input data, output data, and a state of the system for a prediction period. The MPC may linearize the output and state trajectories and determine an updated input trajectory based at least in part on the linearized output trajectory. The MPC may determine control inputs to the system which achieve the updated input trajectory for a control period. The MPC may transmit control signals based at least in part on the control inputs to equipment associated with the input data.

The application discloses an automatic transfer switch and a power supply system. The automatic transfer switch includes: a first switch unit having a first end connected to a first device through a converter port, and a second end electrically connected to a power grid through a power grid port; a second switch unit having a first end connected to a second device through an electric vehicle port and a charging/discharging circuit unit, and a second end electrically connected to the second end of the first switch unit; a third switch unit, having a first end electrically connected to the power grid through the power grid port, and a second end electrically connected to a load through a load port; a sampling unit; and a control unit connected to the sampling unit.

A method includes generating a time-varying charge/discharge control signal for an electrical storage device, wherein generating the time-varying charge/discharge control signal comprises identifying a prioritization order of a stack of simultaneously operating control modes, the stack of simultaneously operating control modes including a staging mode and at least two additional control modes, each control mode of the stack comprising a plurality of control signal candidate values; identifying an intersection of one or more control signal candidate values from the plurality of control signal candidate values of each control mode of the stack according to the prioritization order; and determining, based on the prioritization order, at least one time-varying charge/discharge control signal for the electrical energy storage device from the intersection of control signal candidate values.