Abstract: Systems and methods for energy distribution for one or more grid-scale Energy Storage Systems (ESSs), including generating one or more time series models to provide forecasted pricing data for one or more markets, determining battery life and degradation costs for one or more batteries in or more ESSs to provide battery life and degradation costs, optimizing bids for the one or more markets to generate optimal bids based on at least one of the forecasted pricing data or the battery life and degradation costs, and distributing energy to or from the one or more ESSs based on the optimal bids generated.

Abstract: A computer-implemented method for controlling a distributed energy storage system (ESS) communicating with one or more microgrids is presented. The method includes assigning, via the processor, a weight to a first objective function pertaining to minimizing demand charge (DC) cost, assigning, via the processor, a weight to a second function pertaining to maximizing photovoltaic (PV) utilization, receiving historical demand profiles including demand data and historical PV profiles including PV data, and determining ESS power and capacity. The method further includes employing a multi-objective DC cost and PV utilization optimization module to obtain a plurality of optimal solutions by concurrently processing the assigned weights of the first and second objective functions, the historical demand and PV profiles, and the ESS power and capacity.

Abstract: A computer-implemented method executed on a processor for outputting a smoothed photovoltaic (PV) power output from a battery of a power control system communicating with one or more microgrids is presented. The method includes curtailing an input signal received from a plurality of sensors, smoothing the input signal by employing a fuzzy logic based low pass filter having an adaptive window to generate a power reference command, applying a hard ramp rate limit to the power reference command, adjusting battery power output of the battery to satisfy battery constraints and a no-power-from-grid constraint, and distributing energy from the battery based on the adjusted battery power output.

Abstract: Aspects of the present disclosure describe methods and systems for improved control strategies for Dynamic Frequency Control (DFC) of Energy Storage (ES) devices which may be used to determine an amount of intertial support required from ES to provide frequency regulation based on type of disturbance and frequency control system of a microgrid. A case study showing the control strategy for DFC scheme is presented.

Abstract: A system, method, and computer-program product are provided for controlling a distributed energy storage system (ESS) operatively coupled to one or more microgrids. The system includes a memory for storing program code. The system further includes a processor for running the program code to respectively assign a first, a second, and a third set of weights to a first, a second, and a third objective function formulated to minimize an ESS cost, minimize a Demand Charge (DC) cost, and maximize a Photovoltaic utilization, respectively. The processor further runs the program code to execute a multi-objective ESS optimizing engine to obtain a set of different monthly-based optimal solutions for controlling the ESS by concurrently processing the first, the second, and the third objective functions using different ones of the weights from the first, the second, and the third set of weights.

Abstract: A computer-implemented method for detecting and predicting anomalies in an energy management system is presented. The method includes detecting, in real-time, a first set of outliers for a plurality of energy devices under operation, predicting a second set of outliers for running the plurality of energy devices, analyzing historical energy data of the plurality of energy devices to extract a third set of outliers, receiving feedback, in real-time, from a user regarding each of the first, second, and third sets of outliers, and training the energy management system with the real-time feedback received from the user to automatically optimize a threshold of error detection.

Abstract: Systems and methods for semiconductor device selection, including identifying a worst operation condition for a plurality of semiconductor devices in a Modular Multilevel Converter (MMC). The identifying includes determining power losses for each of the semiconductor devices under a plurality of operation conditions, and calculating a maximum junction temperature for each of the plurality of semiconductor devices at each of the plurality of operation conditions. A maximum junction temperature under the identified worst operation condition is determined for each of a plurality of commercially available semiconductor devices which satisfy a threshold voltage rating, and all semiconductor devices which satisfy the threshold voltage rating and a maximum junction temperature threshold condition are compared to identify a semiconductor device with a lowest system cost.

Abstract: Systems and methods for optimizing power flows using a harmony search, including decoupling phases in a multi-phase power generation system into individual phase agents in a multi-phase power flow model for separately controlling at least one of phase variables or parameters. One or more harmony segments from harmony memory are ranked and selected based on a utility value determined for each of the decoupled phases. A harmony search with gradient descent learning is performed to move the selected harmony segments to a better local neighborhood. A new utility value for each of the selected segments is determined based on historical performance, and the harmony memory is iteratively updated if one or more of the new utility values are higher than a utility value of a worst harmony segment stored in the harmony memory.

Abstract: Systems and methods for adaptive demand charge management in a behind the meter energy management system. The system and method includes determining, in a first layer, an initial demand charge threshold (DCT), for a first period, based on historical DCT profiles, and generating recursively, in a second layer, a forecast of a power demand for a second period, wherein the second period is a subset of the first period. Further included is combining the first layer and the second layer to recursively modify the initial DCT with a DCT adjustment value to generate a modified DCT, wherein the DCT adjustment value is optimized according to the forecast of power demand for the second period, and controlling batteries according to the modified DCT, wherein the batteries are discharged if power demand is above the modified DCT, and the batteries are charged if the power demand is below the modified DCT.

Abstract: A computer-implemented method, system, and computer program product are provided for demand charge management. The method includes receiving an active power demand for a facility, a current load demand charge threshold (DCT) profile for the facility, and a plurality of previously observed load DCT profiles. The method also includes generating a data set of DCT values based on the current load DCT profile for the facility and the plurality of previously observed load DCT profiles. The method additionally includes forecasting a next month DCT value for the facility using the data set of DCT values. The method further includes preventing actual power used from a utility from exceeding the next month DCT value by discharging a battery storage system into a behind the meter power infrastructure for the facility.

Abstract: A computer-implemented method, system, and computer program product are provided for demand charge management. The method includes receiving an active power demand for a facility, a current load demand charge threshold (DCT) profile for the facility, and a plurality of previously observed load DCT profiles. The method also includes generating a forecast model from a data set of DCT values based on the current load DCT profile for the facility and the plurality of previously observed load DCT profiles. The method additionally includes forecasting a monthly DCT value for the facility using the forecast model. The method further includes preventing actual power used from a utility from exceeding the next month DCT value by discharging a battery storage system into a behind the meter power infrastructure for the facility.

Abstract: A method and system are provided. The method includes collecting, from a plurality of phasor measurement units, a plurality of synchronized phasor measurements from different portions of a power system. The method further includes estimating, by a controller, oscillation modes of the plurality of synchronized phasor measurements. Each estimated oscillation mode specifies, for each of the plurality of synchronized phasor measurements, two or more of an amplitude, a phase, a frequency, and damping coefficients. The method also includes performing, by the controller, a modal analysis of the oscillation modes of the plurality of synchronized phasor measurements to identify critical modes based on critical mode identifying criteria. The method additionally includes constructing, by the controller based on the critical modes, a power system oscillation dampening control signal for controlling a grid-scale storage portion of the power system to dampen one or more oscillations of the power system at any given time.

Abstract: A modular multilevel converter for hybrid energy storage includes a battery. Three phases are connected in serial to the battery and in parallel to one another, each phase having two arms of sub-modules and buffer inductors. Each of the sub-modules includes a half-bridge and an ultracapacitor. A control module is configured to control the battery output power and ultracapacitor output power independently.

Abstract: Systems and methods for minimizing demand charges includes generating historical demand profiles having a plurality of demand charge threshold (DCT) values over a period of time, filtering the DCT values using weighting factors to provide filtered DCT values such that DCT underestimations and overestimations are removed from optimization, determining an optimal DCT output value from the filtered DCT values such that the optimal DCT output value is based on the historical demand profiles and the weighting factors, and distributing energy in one or more batteries in accordance with the optimal DCT output value and current energy demand to minimize energy and demand charges.

Abstract: Aspects of the present disclosure describe methods and systems for improved control strategies for Dynamic Frequency Control (DFC) of Energy Storage (ES) devices which may be used to determine an amount of intertial support required from ES to provide frequency regulation based on type of disturbance and frequency control system of a microgrid. A case study showing the control strategy for DFC scheme is presented.

Abstract: A modular multilevel converter for hybrid energy storage includes three phases connectable in series to a battery, and in parallel to one another. Each phase includes at least two arms of sub-modules and buffer inductors, and each of the sub-modules comprises a half-bridge and an ultracapacitor. A two layer controller, including a coordination layer and a converter layer, is configured to independently control battery output power and ultracapacitor output power, and to distribute a power load between the battery and the ultracapacitor to optimize the performance of a hybrid energy storage system.

Abstract: A computer-implemented method for controlling voltage fluctuations of a microgrid including a plurality of distributed generators (DGs) is presented. The computer-implemented method includes collecting, by a resiliency controller, measurement data from the microgrid, using a model predictive control (MPC) module to distribute reactive power to each of the DGs of the microgrid, and using a droop based controller to guide operation of each of the DGs of the microgrid.

Abstract: A controller used in microgrid systems that includes a primary control module and a secondary control module. The primary control module may employ a primary consensus control to control at least one of a real power and reactive power sharing in at least one distributed generator system of a microgrid. The secondary control module may employ a secondary consensus control to maintain at least one of voltage and frequency in the microgrid to a nominal value.

Abstract: Systems and methods for voltage control in an energy distribution system (EDS), including measuring voltage and current at a node in the EDS where a Grid Energy Storage (GES) device is located. A simplified equivalent of the EDS is generated by identifying parameters for the equivalent and calculating phasors corresponding to the measured voltage and current. At least one of a voltage stability index or a voltage sensitivity factor of the EDS is calculated using the equivalent, and at least one of charging or discharging of the EDS is adjusted based on at least one of the voltage stability index or the voltage sensitivity factor to regulate and stabilize voltage of the EDS.

Abstract: Systems and methods are disclosed to improve energy efficiency of a farm with livestock wastes by generating a cooling, heating, and power (CCHP) microgrid model; performing on a computer a multi-objective optimization to improve system efficiency of energy utilization and reduce environmental problems caused by animal wastes; and displaying results of the optimization for review.