Abstract: A renewable power system is provided. The renewable power system includes a plurality of power generating devices and a plurality of power converters. Each power converter of the plurality of power converters is electrically coupled to at least one power generating device of the plurality of power generating devices and a load. The renewable power system further includes a plurality of controllers. Each of the plurality of controllers includes a processor coupled in communication with at least one power converter of the plurality of power converters. The processor is configured to detect a load power of the load, determine an available power of the plurality of power generating devices, and, in response to the load exceeding the available power of the plurality of power generating devices, adjust at least one parameter of the at least one power converter.

Abstract: A method for controlling a network of inverter-based resources (IBRs) during a disturbance includes, in response to a start of the disturbance, employing a system-level overload ride-through (SLORT) algorithm among the network of IBRs. The SLORT algorithm includes determining, via a SLORT control module, a modified parameter set for one or more of the IBRs using regularly-updated system-level analyses, transmitting, via the SLORT control module, the modified parameter set to the IBRs, and automatically activating, via one or more local controllers of the IBRs, the modified parameter set, wherein automatically activating the modified parameter set comprises rapidly re-parameterizing one or more parameters of the one or more of the IBRs for a duration of and for a time period after the disturbance so as to transition the network of IBRs from a pre-disturbance stable state to a post-disturbance stable state.

Abstract: A method for controlling a network of inverter-based resources connected to a power grid during a disturbance includes employing a distributed transient virtual impedance algorithm among the network of inverter-based resources (IBRs) after a start of or in anticipation of the disturbance. The distributed transient virtual impedance algorithm includes determining, via at least one of one or more power flow equations, one or more energy function equations, and one or more estimated power capabilities, a virtual impedance control parameter and a modified power reference for one or more of the IBRs.

Abstract: A method for controlling an inverter-based resource (IBR) connected to a power grid during a grid event includes operating the IBR based on a first virtual impedance reference prior to the grid event, the first virtual impedance reference being used for determining a first virtual impedance of the IBR defining a first virtual reactance and a first virtual resistance. The method also includes receiving an indication of a start of the grid event that causes a change in the first virtual impedance reference to a second virtual impedance reference. Immediately after the change in the first virtual impedance reference, the method includes activating a soft activation module for outputting a second virtual impedance defining a second virtual reactance and a second virtual resistance that maintains a magnitude of the second virtual impedance at or above a magnitude of the second virtual impedance reference so as to reduce current in the inverter-based resource.

Abstract: According to some embodiments, system and methods are provided including receiving, via a communication interface of an event detection and classification module comprising a processor, data from one or more sensors in a system; determining an event occurred based on the received data; applying a coherency similarity process to the received data via a classification module; determining whether the event is an actual event or a mal-doer event based on an output of the classification module; transmitting the determination of the event as the actual or the mal-doer event; and modifying operation of the system based on the transmitted output. Numerous other aspects are provided.

Abstract: According to some embodiments, system and methods are provided including receiving, via a communication interface of an event detection and classification module comprising a processor, data from one or more sensors in a system; determining an event occurred based on the received data; applying a coherency similarity process to the received data via a classification module; determining whether the event is an actual event or a mal-doer event based on an output of the classification module; transmitting the determination of the event as the actual or the mal-doer event; and modifying operation of the system based on the transmitted output. Numerous other aspects are provided.

Abstract: According to some embodiments, system and methods are provided including receiving, via a communication interface of an event detection and classification module comprising a processor, data from one or more sensors in a system; determining an event occurred based on the received data; applying a coherency similarity process to the received data via a classification module; determining whether the event is an actual event or a mal-doer event based on an output of the classification module; transmitting the determination of the event as the actual or the mal-doer event; and modifying operation of the system based on the transmitted output. Numerous other aspects are provided.