A method for determining a sequence of operation of at least one set of generator units of an electrical network includes assigning a rank to each generator unit; from a projected load curve, determining a minimum number of generator units; for each generator unit having a rank less than or equal to the minimum number of generator units, allocating in the sequence of operation the on state to the generator unit for each time interval; for each generator unit having a rank greater than the minimum number of generator units, allocating, by increasing rank, for each time interval of the sequence of operation the on state or the off state to the generator unit, and for each generator unit to which is assigned the on state at a given time interval of the sequence of operation, allocating an operating power, by optimisation of a cost function over a period.

Systems and methods are provided for intelligent energy source monitoring and selection control to enable power delivery in a multi-modal energy system. A multi-modal energy system includes a control system, power supply systems, and an electrical distribution system. The power supply systems are coupled to the control system. The power supply systems include a mains utility power system and at least one renewable power system. The electrical power distribution system is coupled to the control system. The control system is configured to monitor each power supply system to determine a power availability of each power supply system, determine an amount of power usage by the electrical power distribution system, and selectively connect and disconnect one or more of the power supply systems to the electrical power distribution system based on the determined power availability of the power supply systems and the determined power usage of the electrical power distribution system.

In order to suppress frequency fluctuation caused by a load frequency, an AR calculating section calculates an AR using system frequency deviation and tie-line power flow deviation as inputs. An output distribution ratio determining section determines a ratio of output distribution according to merit order based on the AR calculated by the AR calculating section. An output distributing section determines output distribution according to an output change speed based on the output distribution ratio determined by the output distribution ratio determining section according to the output change speed. An output distributing section determines output distribution according to the merit order based on the output distribution ratio determined by the output distribution ratio determining section according to the merit order. An output distribution instruction value determining section determines an output distribution instruction value to each regulated power source using, as inputs, output distribution values determined by the output distributing sections.

A power supply assembly is disclosed comprising a power supply unit adapted to provide power to a user's device in accordance with power requirements of the user's device, a power connection control unit and an AC controllable switch, configured to connect and disconnect AC power source from the power supply unit in response to respective control provided by the power connection control unit, wherein the power connection control unit and the AC controllable switch are configured to maintain one of two states without consuming electrical power, wherein the two states of the power connection control unit are set state adapted to switch on the AC controllable switch and unset state adapted to switch off the AC controllable switch and wherein when the power supply assembly is in its unset state it is completely disconnected from the AC power source.

A power source apparatus includes a plurality of first power sources, each connected to a load through a power supply line, and at least one second power source, which is a sub power source to be used when the first power source is unable to output a predetermined voltage. The second power source is connected in parallel to the power supply line of at least one of the first power source through a diode. The second power source is provided on an anode side of the diode, the load is configured to operate at a voltage equal to or more than a first voltage, the first power source outputs a second voltage higher than the first voltage, the second power source outputs a third voltage, which is higher than the first voltage, the voltage output through the diode from the second power source being lower than the second voltage.

A wind power generation system includes a power generator body, an auxiliary device that assists the power generator body, and a power conversion apparatus that converts first AC power generated by the power generator body to second AC power, and outputs the second AC power to an electric power grid. The power conversion apparatus includes a first power conversion circuit, a second power conversion circuit, a power storage element that receives DC power from the first power conversion circuit via a first passing point, a breaker, and a control unit. When the power generator body is in a power generation standby state, the control unit sets a parallel-off mode and controls the second power conversion circuit to convert power of the power storage element to third AC power having a preset voltage. The auxiliary device is configured to receive the second AC power or the third AC power.

Aspects of the subject disclosure may include, for example, a utilities management system operable to receive via a guided wave transceiver a plurality of utility status signals from a plurality of utility sensors located at a plurality of supervised sites. Utility control data is generated based on the plurality of utility status signals. At least one control signal is generated for transmission via the guided wave transceiver to at least one of the plurality of supervised sites, and the at least one control signal includes at least one utility deployment instruction based on the utility control data. Other embodiments are disclosed.

A method for controlling the power of a system, and a device for controlling the power of a system, the system having an electric energy source, electric consumers, an energy storage, an inverter, and a charge controller, the system being connected via an interconnected power sensor to the in particular public AC electric power supply, and the power sensor may be used for ascertaining the power withdrawn by the system from the in particular public AC electric power supply, or for ascertaining a corresponding quantity, such as the active power withdrawn from the in particular public AC electric power supply, the sensor signal being transmitted to a controller which regulates the power withdrawn from the in particular public AC electric power supply toward zero by appropriate actuation of the inverter and the charge controller.

In order to suppress frequency fluctuation caused by a load frequency, an AR calculating section calculates an AR using system frequency deviation and tie-line power flow deviation as inputs. An output distribution ratio determining section determines a ratio of output distribution according to merit order based on the AR calculated by the AR calculating section. An output distributing section determines output distribution according to an output change speed based on the output distribution ratio determined by the output distribution ratio determining section according to the output change speed. An output distributing section determines output distribution according to the merit order based on the output distribution ratio determined by the output distribution ratio determining section according to the merit order. An output distribution instruction value determining section determines an output distribution instruction value to each regulated power source using, as inputs, output distribution values determined by the output distributing sections.

A method for automatic adjustment of a power grid operation mode based on reinforcement learning is provided. An expert system for automatic adjustment is designed, which relies on the control sequence of thermal power units, enabling automatic decision-making for power grid operation mode adjustment. A sensitivity matrix is extracted from the historical operating data of the power grid, from which a foundational thermal power unit control sequence is derived. An overload control strategy for lines within the expert system is devised. A reinforcement learning model optimizes the thermal power unit control sequence, which refines the foundational thermal power unit control sequence and provides the expert system with the optimized control sequence for automatic decision-making in power grid operation mode adjustment. This method offers a solution to balancing and absorption challenges brought about by fluctuations on both the supply and demand sides in high-proportion renewable energy power systems.