A system for dynamic rating of a power grid may include a plurality of terminal units, and a controller. The terminal units may detect a voltage phasor and a current phasor at nodes of the power grid. The controller may, based on the voltage phasors and the current phasors of the plurality of nodes, determine a dynamic thermal stability power rating for each line, a dynamic angular stability power rating for each node, and a dynamic voltage stability power rating for each node. The controller may, based on the dynamic thermal stability power rating, the dynamic angular stability power rating, and the dynamic voltage stability power rating, determine a dynamic system rating for the power grid. The controller may control the power grid in response to the dynamic system rating.

Provided is a method for load transfer for an open-loop power grid. The method includes: constructing a tree graph for the power grid based on power transmission among devices in the power grid; determining a target node representing a target device which triggers load transfer in the open-loop power grid; determining one or more target graphs; enumerating all transfer schemes for the target graphs based on the target graphs, and prioritizing the transfer schemes; and performing load transfer based on the prioritized transfer schemes.

A method for conditioning and maintaining power with predictive load compensation using an uninterruptible power supply system is disclosed. The method includes measuring an electrical input from a primary power supply using analog sensors and transmitting the input through an impedance to introduce a controlled delay. During the delay, input parameters and downstream system effects are determined based on telemetry sensor data. Digital identities are generated for the electrical input and the downstream load and compared to a stored digital identity representing historical conditions. Using the comparison, a system simulation is performed with analog twinning to predict downstream system responses. The predicted response is used to adjust a power converter parameter, modifying the electrical input to an intermediate output that compensates for voltage fluctuations and harmonic distortions. A secondary power supply with a bidirectional high-discharge battery supplements or stores energy as needed, ensuring stable power delivery to the downstream load.

Various embodiments include a method for controlling energy exchanges between energy systems via a power grid using a central control device. At least one of the energy systems comprises a heat generation installation converting electrical energy into heat. An example method includes: providing an electrical load forecast

[00001]$p_t^e$

for the heat generation installation required to cover an envisaged thermal load

[00002]${\stackrel{.}{q}}_t^{\mathrm{thermal}};$

transmitting the electrical load forecast

[00003]$p_t^e$

to the control device, wherein other energy systems also transmit respective electrical load forecasts to the control device; ascertaining electric powers

[00004]$P_t^e$

associated with energy exchanges using the control device, on the basis of transmitted electrical load forecasts

[00005]$p_t^e,$

executed by an optimization method for minimizing an associated target function minimizing a number of starts

[00006]$y_t^{\mathrm{heat}}$

of the heat generation installation for covering the envisaged thermal load

[00007]${\stackrel{.}{q}}_t^{\mathrm{thermal}};$

and controlling energy exchanges according to the electric powers

[00008]$P_t^e$

using the control device.

A microgrid controller of a microgrid configured to receive load information corresponding to a plurality of loads connected to the microgrid, receive energy resource information corresponding to a plurality of energy resource systems connected to the microgrid monitor one or more microgrid parameters, according to a soft diagnostic condition, based on at least one of the energy resource information or the load information, detect a soft trigger event based on the one or more microgrid parameters satisfying the soft diagnostic condition, in response to the soft diagnostic condition being satisfied, monitor the one or more microgrid parameters, according to a hard diagnostic condition, based on at least one of the energy resource information or the load information, detect a hard trigger event based on the one or more microgrid parameters satisfying the hard diagnostic condition, and in response to the hard diagnostic condition being satisfied, generate a hard alarm.

An AI-based platform for enabling intelligent orchestration and management of at least one operating process is provided herein. The AI-based platform includes an artificial intelligence system that is configured to generate a prediction of an energy pattern associated with the at least one operating process. The AI-based platform is also configured to manage the at least one operating process based on the prediction of the energy pattern.

Software-based source voltage parameter monitoring is provided for load centers that include one or more DERs. The software enables a system energy manager (SEM) controller to monitor the relevant source voltage parameters of each DER and other voltage sources to ensure that each DER meets applicable safety standards when connecting to and disconnecting from the utility grid. The software eliminates the need to install off-the-shelf (OTS) chips in hardware used within a load center to communicate the source voltage parameters of each voltage source to the SEM controller. Instead, the software enables an SEM controller to detect the voltage signal output by each voltage source in a load center, and uses a dynamically generated internal control signal that is transformed to a rotating reference frame to detect the RMS voltage, phase angle, and frequency of each voltage source output. Eliminating OTS chips eliminates communication latency and increases system reliability.

The invention relates to a method for operating a renewable power plant (100) comprising at least one wind turbine (101) and an electrolyzer system (110), the renewable power plant is connectable with a grid (190) via a circuit breaker (123) located at a point of common coupling (PCC), wherein the renewable power plant comprises an internal grid (191) connecting the at least one wind turbine and the electrolyzer system with the point of common coupling, wherein the method comprises detecting a low voltage at any of the at least one wind turbine, and electrically disconnecting the electrolyzer system from the internal grid in response to detecting the low voltage.

A method of controlling an islanded power grid using multiple power generating units operates one of the power generating units in an isochronous mode to perform frequency control on the power grid and operates the other power generating units in droop mode to provide the overall instantaneous power needed on the grid. The method provides better overall efficiency of the power generating system while still enabling robust frequency control by determining the power generating unit to operate in the isochronous mode based on a predicted load demand or load demand change over a near-term time horizon. The method implements an optimization routine that determines the distribution of the power generating load across the power generating units in an efficient or optimal manner, and then selects the isochronous power generating unit as the power generating unit that has the highest capacity with the needed upward and downward reserve for making frequency control movements during the near-term time horizon.

System and method for inferring photovoltaic (PV) system specifications are described. A consumer PV system's location and net load data recorded through net metering are retrieved. For each discrete period, a time of peak PV production and a magnitude of minimum net load for a representative day are found, and base loads are estimated. Plane-of-array irradiance (POAI) using clear sky global horizontal irradiance for azimuth and tilt combinations is produced. Azimuth, tilt, and system rating combinations based on the magnitude of minimum net load and the base load over each discrete period are created. A lowest error metric among the azimuth, tilt and system rating combinations is found, by finding the minimum of the combined residual errors in the time of peak PV production and the time of maximum POAI and residual errors in the magnitude of minimum net load plus the base load and magnitude of maximum POAI.