Abstract: A method for controlling an energy storage system (ESS) includes determining a voltage strength level of a power grid as a maximum power surge that would not cause the ESS to exceed defined voltage limits. The method includes determining a baseline system voltage strength level required by the grid during steady-state operation thereof, and controlling an output state of the ESS to collectively meet the baseline. The method further includes sensing corresponding voltages for respective battery elements and detecting a grid event, including obtaining a rate of change of voltage (RoCoV) of the grid. In response to the grid event, the method includes temporarily adjusting the baseline system voltage strength level via control of the ESS when one or more of the corresponding voltages reaches the defined voltage limits. The ESS may include battery elements, sensors, and an electronic control unit configured to perform the method.

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: An electric energy storage system (BESS) includes multiple energy storage modules, a bus bar, core circuit breakers, and a plant controller. Each energy storage module includes rechargeable electrical energy storage devices, a DC/AC power converter, a grid measurement system, and internal circuit breakers. The modules are connectable to an electric grid via the bus bar and the core circuit breakers. The plant controller is in operative communication with the modules and the core circuit breakers and includes a frequency controller. The controller monitors frequency of electric power on the electric grid and controls frequency of electric power on the bus bar in response to the frequency of the electric power on the grid. The controller thereby preconditions measurement of the electrical grid and/or references a control signal before the signal enters a control loop to minimize control retriggering, reduce oscillatory responses, and enhance BESS transient stability under grid disturbances.

Abstract: A system and a method for compensating losses in a battery energy storage system (BESS). A power compensator includes a parameter circuit and a controller. The parameter circuit is configured to provide N power parameters associated with equipment connected between a group of rechargeable batteries and a point of connection (POC). The controller is configured to send a command to a dispatcher based on the N power parameters. The command configures a group circuit including the group of rechargeable batteries to generate an output corresponding to an expected demand. The N power parameters are used to compensate for a balance of plant (BOP) deviations.

Abstract: A battery energy storage system (BESS) includes at least one BESS enclosure having a main structure, and a rear panel. The main structure includes a base weldment having a front edge, and a rear edge, a pair of opposing side weldments, and a top side weldment having a front edge and a rear edge. A plurality of crossbeams, a plurality of inner panels, and a battery rack are arranged within the main structure. The rear panel includes a bottom edge arranged adjacent to the rear edge of the base weldment, and a top edge of the rear panel arranged adjacent to the rear edge of the top side weldment. At least one of the plurality of crossbeams includes a closed, hollow cross-section. At least one of the plurality of inner panels includes a steel inner insulation panel.

Abstract: A system includes an energy storage system includes a plurality of energy storage nodes and an intelligent diagnostics and monitoring (“IDM”) module coupled to the energy storage system. The IDM module includes a processor that monitors control signals of the energy storage system and enters a multi-stage diagnostic process including detecting shallow errors, faults, or abnormalities based on the monitored control signals, starting a root-cause analysis (RCA) algorithm when shallow errors, faults, or abnormalities are detected, starting a deep diagnostic algorithm when no shallow errors, faults, or abnormalities are detected, after starting the deep diagnostic algorithm, detecting errors, faults, or abnormalities based on the monitored control signals, and troubleshoot the energy storage system when errors, faults, or abnormalities are detected.

Abstract: A system and a method for cooling a battery energy storage system (BESS). A cooling manager includes a parameter generator and a controller. The parameter generator is configured to generate operating parameters for a group of rechargeable batteries in a battery plant. The controller is configured to send control data to control a cooling unit to cool the group of rechargeable batteries based on the operating parameters and according to a thermal management policy.

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: A method and system for an energy storage system (ESS) cooling capacity expansion includes a plurality of battery modules situated within an enclosure. The enclosure includes an integrated chiller unit including a first condenser, a first compressor, a first evaporator, an expansion valve, and an external coupling for an add-on cooling unit. A coupling is used to connect the first condenser and the add-on cooling unit. The add-on cooling unit is external to the enclosure. The coupling includes an electrical connection and a refrigerant connection. The add-on cooling unit includes a second condenser, absent a second compressor and a second evaporator.

Abstract: An energy storage node includes a plurality of battery modules arranged within the energy storage node and a shielding wire. Each battery module includes a plurality of sub-module assemblies having a direct current supplied via the shielding wire. The direct current enters a first battery module at a first end of the first battery module, and the shielding wire traverses a width of the first battery module such that the direct current enters a first battery cell of a first sub-module assembly. The direct current flows through the first sub-module assembly in a direction opposite from the first battery cell and through next adjacent battery cells of the first battery module. Upon exiting a last of the sub-module assemblies, the shielding wire is twisted at least one with a portion of the shielding wire located along the first traverse of the width of the first battery module.

Abstract: A system includes a plurality of energy storage nodes and at least one processor arranged to perform operations in accordance with programming and acquire state data of components of the system where the state data of at least a plurality of battery modules and at least one inverter of the plurality of energy storage nodes is measured and stored in a memory. The acquired state data is analyzed to determine whether a value of the data exceeds a predicted limit provided in an algorithm of previous bidding information. When the value of the acquired state data exceeds a predicted limit, a cost function model is applied for at least one of the battery modules, the inverter, and an operating efficiency of the system. An optimized gain value of the algorithm for a next energy bidding is adjusted based upon the acquired state data and the cost degradation value.

Abstract: An energy storage system includes a power conversion system (PCS); and a plurality of energy storage nodes. The energy storage nodes include a battery storage element, and a control system to receive battery data from the battery storage element. The energy storage system further includes a control system coupled to the energy storage nodes and configured to receive or store a required power flow. The control system is configured to receive or store the required power flow for an electrical application. The control system is configured to dispatch the required power flow across the plurality of energy storage nodes based on at least two of: (1) a battery cost lifetime of the battery storage element; (2) a PCS cost lifetime of the PCS; and (3) an operating efficiency of the battery storage element and the PCS.

Abstract: A system and a method for providing fast information retrieval. The method includes receiving a user query from a user and operating data of an asset in a plant, analyzing the user query and the operating data to determine a state of the asset, generating a large language model (LLM) query to an LLM based on the user query and the t state, and interacting with an information acquisition agent (IAA) to obtain a response to the user query.

Abstract: An energy storage system includes a plurality of energy storage nodes. The energy storage nodes include a battery storage element and a control subsystem to receive battery data from the battery storage element. The energy storage system further includes a power conversion system (PCS); and a control system coupled to the energy storage nodes and configured to receive or store a required power flow. The control subsystem, the control system, or both are configured to determine a state of charge about one or more of the energy storage nodes from the battery data. The control system is configured to dispatch the required power flow across the plurality of energy storage nodes based on a DC link balancing algorithm that is activated in response to the state of charge exceeding a high SOC threshold or being below a low SOC threshold.

Abstract: A computing device includes a memory, a processor coupled to the memory, and programming in the memory. Execution of the programming by the processor configures the computing device to: accept as inputs a plurality of known configurations of at least one type of physically modular device that includes associated physical artifacts, train a machine learning model to learn types of configurations corresponding to the at least one type of physically modular device based on the inputted plurality of known configurations of the at least one type of physically modular device and the associated physical artifacts, and create at least one valid configuration of a physically modular device when fed a set of physical artifacts of the physically modular device based on the learned types of configurations of the machine learning model.

Abstract: A single direct current block enclosure power distribution to multi-inverter systems includes coupling, serially, a plurality of first battery modules to form a first battery pack where a first switch control is coupled to the first battery pack. A second battery pack includes a plurality of serially coupled second battery modules and a second switch control coupled to the second battery pack. Based on an amount of energy mismatch between the second battery pack and either the first power conversion module or the second power conversion module a determination is made as to when to couple the second switch control to a first power conversion module or to a second power conversion module.

Abstract: A state of balance tool for an energy storage system (ESS) includes a processor and memory on which is recorded instructions. Execution of the instructions by the processor causes the tool to receive raw sensor data from a sensor suite, identify a threshold SoC imbalance in the ESS using the raw sensor data, and identify an element location in the ESS of a corresponding battery element having the imbalance. A control action is executed in response to the imbalance by transmitting an electronic signal indicative of the element location. A method for use with the ESS includes receiving the raw sensor data from the sensor suite, identifying the threshold SoC imbalance via a processor using the raw sensor data, identifying an element location of a corresponding node having the threshold imbalance, and executing a control action via the processor in response to the imbalance.

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: A loading/unloading system for an energy storage system enclosure includes: a skate channel weldment having a U-shape, a pair of guide wheels arranged at a rear end of the skate channel weldment, a plurality of jack mounts arranged adjacent to a top side of the skate channel weldment, a plurality of hydraulic jacks arranged within the plurality of jack mounts, a plurality of skate assemblies arranged adjacent to a bottom side of the skate channel weldment, and a plurality of jack lugs each of which includes a jack resting portion, and an enclosure attachment portion. The plurality of hydraulic jacks moveable from a retracted position to an extended position via a hydraulic pump, to raise and lower the energy storage system enclosure for loading/unloading to/from a standard shipping container.

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.