Abstract: An exemplary power system includes a DC power bus and a photovoltaic system connected to the DC power bus. An energy storage system is connected to the DC power bus and stores energy injected to the DC power bus by the photovoltaic system. A power inverter is connected to the DC power bus and converts power between the DC power bus and an AC connected load. The power system also includes a control system that receives power system data from one or more sub-systems and devices connected to the DC power bus, and controls, in real-time, one or more of the power inverter and the energy storage system to act as a load on the DC power bus based on the received power system data.

Abstract: A battery energy storage system includes a plurality of battery cores. Each battery core of the battery energy storage system includes an array of battery cubes, and each battery core is configured to provide a first direct current power at a first voltage. The battery energy storage system further includes a plurality of direct-current-to-direct-current (DC-DC) converters. Each DC-DC converter of the battery energy storage system is configured to accept the first direct current power and each DC-DC converter is configured to provide a second direct current power at a second voltage. The battery energy storage system further includes a main modular multilevel converter (MMC). The MMC of the battery energy storage system is configured to accept the second direct current and to provide an alternating current at a third voltage.

Abstract: Methods, systems, apparatuses, and non-transitory computer-readable media are provided for synthetic inertia for energy systems. In one implementation, the computer-readable media may include instructions to cause a processor to: obtain a rate of change of a frequency of alternating current of an electrical grid; determine a mapping between the rate of change of the frequency and an amount of change of output power for energy storage unit(s) coupled to the electrical grid; calculate, based on the mapping and the rate of change of the frequency, an amount of change of the output power for the energy storage unit(s); determine, based on a reference output power and the calculated amount of change, an adjusted output power; and configure, based on the adjusted output power, the energy storage unit(s) to output electricity to the electrical grid.

Abstract: A power oscillation damping controller includes a control block including one or more circuits configured to receive a meter input and transmit a controller output. The meter input includes an active power sub-controller measured value including an evident oscillation component of a power oscillation, a reactive power sub-controller measured value including an alternative oscillation component of the power oscillation, or a combination thereof. The controller output includes an active power component adjustment based on the active power sub-controller measured value that configures or results in an evident dampening of the power oscillation, a reactive power component adjustment based on the reactive power sub-controller measured value that configures or results in an alternative dampening of the power oscillation, or a combination thereof.

Abstract: Methods, systems, apparatuses, and non-transitory computer-readable media are provided for using load collectives in energy storage systems. In one implementation, the computer-readable media includes instructions to cause a processor to: receive operational data associated with an energy storage unit for a time period; determine one or more cycles of charging and discharging of the energy storage unit during the time period; generate, based on the operational data, a plurality of load collectives; determine one or more operational parameters of the energy storage unit for the time period; provide, to a machine learning model, the one or more operational parameters and one or more load collectives of the plurality of load collectives; generate, based on the machine learning model, a predicted capacity of the energy storage unit at an end of the time period; and configure, based on the predicted capacity, one or more energy storage units.

Abstract: Methods, systems, apparatuses, and non-transitory computer-readable media are provided for optimizing energy dispatch. In one implementation, the computer-readable media includes instructions to cause a processor to: generate a plurality of energy dispatch patterns for utilizing one or more energy storage units; generate, based on data determined for each energy dispatch pattern of the plurality of energy dispatch patterns, a recommended energy dispatch pattern; and adjust the one or more energy storage units to dispatch electricity according to the recommended energy dispatch pattern.

Abstract: Methods, systems, apparatuses, and non-transitory computer-readable media are provided for anomaly detection in energy storage systems. In one implementation, the computer-readable media includes instructions to cause a processor to: receive usage data of a battery located within one or more energy storage units during a time period; input the usage data to a machine learning model; generate, based on processing of the usage data by the machine learning model, a predicted temperature of the battery at the end of the time period; receive, from a temperature sensor of the battery, a measured temperature of the battery at the end of the time period; determine a difference between the predicted temperature and the measured temperature; based on the determined difference, send an indication of a state of the battery; and based on the state of the battery, configure usage of the battery.

Abstract: A battery thermal event management system includes an enclosure to store a plurality of battery modules, one or more ventilation panels, at least one actuator to open the one or more ventilation panels, and at least one sensor to detect one or more parameters. Further, the battery thermal event management system includes a detection system with a processor memory, and programming in the memory, coupled to the enclosure. The programming causes the battery thermal event management system to detect, via the at least one sensor, the one or more parameters. Next, the battery thermal event management system determines whether the detected one or more parameters indicate a ventilating event. Further, based on the detected one or more parameters indicating the ventilating event, the battery thermal event management system opens, via the at least one actuator, the one or more ventilation panels.

Abstract: Systems and methods are disclosed for managing capacity of an energy storage system. In one implementation, a system includes at least one node configured to generate energy data; at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to: extract, using a data storage module, the energy data from the at least one node; ingest, using a data aggregation module, first data from the data storage module; estimate, using a capacity estimation module, a capacity of the at least one node by: importing second data from the data aggregation module; determining at least one input and at least one output configured to modulate a capacity determination; and determining the capacity of the at least one node based on the calculated at least one input and at least one output; and implement a corrective action for the energy storage system based on the estimated capacity.

Abstract: An arrangement is for compensating voltage drops in a power supply network. The arrangement includes at least one first converter system and a second converter system. The intermediate circuits thereof are coupled, and the first converter system is connected to a first distribution and the second converter system is connected to a second distribution.

Abstract: An exemplary power system includes a DC power bus and a photovoltaic system connected to the DC power bus. An energy storage system is connected to the DC power bus and stores energy injected to the DC power bus by the photovoltaic system. A power inverter is connected to the DC power bus and converts power between the DC power bus and an AC connected load. The power system also includes a control system that receives power system data from one or more sub-systems and devices connected to the DC power bus, and controls, in real-time, one or more of the power inverter and the energy storage system to act as a load on the DC power bus based on the received power system data.

Abstract: An exemplary power system includes a DC power bus and a photovoltaic system connected to the DC power bus. An energy storage system is connected to the DC power bus and stores energy injected to the DC power bus by the photovoltaic system. A power inverter is connected to the DC power bus and converts power between the DC power bus and an AC connected load. The power system also includes a control system that receives power system data from one or more sub-systems and devices connected to the DC power bus, and controls, in real-time, one or more of the power inverter and the energy storage system to act as a load on the DC power bus based on the received power system data.

Abstract: A battery cell performance monitoring system includes an energy storage system that includes at least one inverter and battery nodes. Each of the battery nodes includes battery racks, and each of the battery racks includes battery cells. The battery cell performance monitoring system also includes a processor, memory, and programming in the memory. The programming causes the battery cell performance monitoring system to determine an extreme rack cell voltage value of each battery rack. Next, to determine an average extreme rack cell voltage value based on the extreme rack cell voltage value of each battery rack. Further, to compare an extreme rack cell voltage value for each battery rack with the average extreme rack cell voltage value. Additionally, to identify one or more outlier battery racks based upon the comparison of the extreme rack cell voltage value for each battery rack with the average extreme rack cell voltage value.

Abstract: A method for predictive monitoring of the condition of wind turbines is disclosed. The method may include selecting at least one wind turbine inside a wind farm and at least one component of the wind turbine; acquiring SCADA data comprising operational data of the wind farm and temperature values of the at least one component of the wind turbine during a preselected time period, calculating differential data as a difference between the temperature values of the selected turbine component of the selected wind turbine and an average temperature of the selected wind turbine component in at least two wind turbines in the wind farm; defining a monitoring time period to monitor the component; calculating at least one predetermined statistic of the differential data during the monitoring time period, and saving the predetermined statistic as a monitoring feature; and testing if at least one monitoring feature exceeds a threshold value.

Abstract: An embodiment relates to an arrangement for equalizing voltage drops in a power supply mains having a first mains supply and a second mains supply. The arrangement includes at least one first converter system and one second converter system, to which intermediate circuits are coupled and which form a mains coupling as a result. The first mains supply is connected to a distributor via a decoupling inductor, a voltage measurement and a first switch. The second mains supply is connected to the distributor via a second switch, and wherein the mains coupling is arranged parallel to the second switch.

Abstract: An uninterruptible power supply (UPS) for a three-phase alternating current network, in particular a medium-voltage network, includes an energy storage system, a switch, an LC resonant circuit, which is a series circuit of an inductance and a capacitance, and a control unit for controlling the switch. The switch and the LC resonant circuit are connected in series, and the series circuit of the switch and the LC resonant is arranged between a network feed and the energy storage system which is connected to a load. There is also described a method for operating such a UPS and a corresponding computer program.

Abstract: An exemplary power system includes a DC power bus and a photovoltaic system connected to the DC power bus. An energy storage system is connected to the DC power bus and stores energy injected to the DC power bus by the photovoltaic system. A power inverter is connected to the DC power bus and converts power between the DC power bus and an AC connected load. The power system also includes a control system that receives power system data from one or more sub-systems and devices connected to the DC power bus, and controls, in real-time, one or more of the power inverter and the energy storage system to act as a load on the DC power bus based on the received power system data.