A microgrid includes a plurality of distributed energy resources such as controllable distributed electric generators and electrical energy storage devices. A method of controlling operation of the microgrid includes periodically updating a distributed energy resource schedule for the microgrid that includes on/off status of the controllable distributed electric generators and charging/discharging status and rate of the electrical energy storage devices and which satisfies a first control objective for a defined time window, based at least in part on a renewable energy generation and load forecast for the microgrid. The method further includes periodically determining power set points for the controllable distributed energy resources which satisfy a second control objective for a present time interval within the defined time window, the second control objective being a function of at least the distributed energy resource schedule for the microgrid.

An electricity demand prediction system includes electricity usage data collection means, production schedule storage means, model creation means, and short-term electricity demand prediction means. The electricity usage data collection means collects electricity usage data of each device and causes electricity usage data storage means to store the collected electricity usage data. The model creation means creates an electricity amount calculation model of each prescribed product type for each device on the basis of the electricity usage data stored in the electricity usage data storage means and a past production schedule stored in the production schedule storage means. The short-term electricity demand prediction means computes future electricity demand for each device on the basis of the electricity amount calculation model created by the model creation means and a future production schedule stored in the production schedule storage means.

There is described a method and a kit for implementing the method for managing a power distribution system. The method comprises providing a renewable power source and a natural gas power plant in a microgrid having an electrical infrastructure sized for a maximum output power. The method further comprises monitoring the renewable output power of the renewable power plant, and controlling an output power of the natural gas power plant to produce a natural gas output power that is combined to the renewable output power to constantly output the maximum output power of the electrical infrastructure capacity into the microgrid, without using any battery or condenser as a buffer to react to required changes due to the variable and independent output from the renewable power source.

A method performed by a network controller of an electrical microgrid having a plurality of energy storages. Each of the energy storages is associated with a respective storage controller. The method includes receiving information about a measurement made at a remote location in the microgrid. The method also includes obtaining respective participation factors in respect of the remote location for each of at least a first energy storage and a second energy storage of the plurality of energy storages. The method also includes obtaining respective states of charge for each of the at least first and second energy storages. The method also includes, for each of the at least first and second energy storages, calculating a reference value for the energy storage, and sending the reference value to the storage controller with which the energy storage is associated. The calculating includes calculating the reference value based on the obtained participation factors and the obtained states of charge.

Aspects of the present disclosure describe structures of, and methods for operating a resiliency controller in an islanded microgrid. The resiliency controller exhibits a dynamic droop algorithm for frequency control, employs multiple modules including a frequency control module for microgrid frequency regulation and a State-of-Charge (SOC) based dynamic droop control unit.

Methods and systems for power management include determining a voltage level of a grid; if the voltage level is below a lower voltage threshold, setting power outputs for one or more distributed generators on the grid to maximum; and if the voltage level is above the lower voltage threshold and below an upper voltage threshold, determining power outputs for one or more distributed generators on the grid using sensitivity-based distributed Q compensation.

A converter system and inverter system are disclosed with individual real and reactive power control for each phase of a poly-phase system. The converter system includes a controller, bidirectional single-phase inverters with AC sides coupled to an AC line filter and DC sides connected in parallel to a link capacitor coupled to DC/DC converters. Each inverter handles a separate AC phase. The controller controls the inverters and DC/DC converters so the current amplitude of each AC phase is independent, and the phase difference of each AC phase is independent. The inverters can be galvanically isolated between the DC and AC sides. The inverters can be non-isolated inverters having line and neutral connectors coupled to an isolated transformer winding, and the output windings of the transformer can be wired in a Wye configuration. The inverters can have local controllers.

The invention essentially relates to a facility for charge current control of storage units in an electrical energy supply grid including, among others, distributed generators and distributed storage units, in which a logic unit is present such that, a storage charge current value can be determined for the storage unit as a function of control variables transferred via a communication system of measurement variables determined at the storage and of locally held internal control variables. This represents an important component for achieving the optimum possible overall utilization of the distributed and multiple-use energy storage.

The present invention discloses a secondary control method and apparatus of parallel inverters in a micro grid, comprising: generating frequency and amplitude of fundamental voltage in the voltage instruction of inverter by droop control according to output voltage and output current of inverter to obtain a fundamental voltage instruction value; extracting voltage values and current values of a first and second AC signals from output voltage and output current of inverter, generating frequency instruction values of the first and second AC signals by droop control to obtain voltage instruction values of the first and second AC signals; regulating the output voltage of inverter according to the voltage instruction value of the first AC signal, the voltage instruction value of the second AC signal and the fundamental voltage instruction value.

A method of controlling a microgrid includes retrieving, by an energy management system, EMS, a forecast variable value for a forecast variable. The EMS determines an operating point value for a controllable asset that depends on the retrieved forecast variable value. The EMS determines an operating point shift value for the controllable asset, the operating point shift value representing a shift in operating point value in response to a variation in forecast variable value. The operating point value and the operating point shift value are provided to a power management system, PMS, of the microgrid.