Abstract: A doubly fed induction generator (DFIG) speed control system is provided. The system includes a wind turbine and a wound rotor induction generator connected to the wind turbine through a drive train system and to a power grid. The system further includes a back-to-back voltage source converter (VSC) with a rotor side converter (RSC) and a grid side converter (GSC). The RSC is connected to the wound rotor induction generator and the GSC is connected to the power grid. A wind profile sensor measures a wind profile and a VSC controller provides control to the RSC and the GSC. The VSC controller applies a nonsingular fast terminal sliding mode control (NSFTSMC) scheme at the RSC at least partially based on the received wind profile to stabilize a rotor speed of the wound rotor induction generator.

Abstract: A system and a method for controlling a hybrid microgrid system (HMS) is disclosed. The HMS includes a WTG, an RSC, a GSC, a DC-link connecting the RSC and the GSC, a PV system that outputs a DC current to the DC-link, a rechargeable battery, a bidirectional BBC connected between the DC-link and the rechargeable battery, and a controller. The method for controlling the HMS includes: preparing a definition set including a characteristic element ci and equations defining desired value ci*, a fractional order sliding mode surface ?i, and a control law element uicnt; monitoring ci(t) and the HMS status; calculating the equations based on monitored information; and controlling the HMS based on the uicnt (t) calculated and in accordance with a global sliding mode control with fractional order terms. The ?i comprises a fractional time integral and fractional time derivative of ei(t), where ei(t)=ci(t)?ci*(t). The uicnt(t) satisfies ? i ( t ) ? d ? ? i ( t ) dt < 0 , when ?i(t)?0.

Abstract: A system and a method for controlling a hybrid microgrid system (HMS) is disclosed. The HMS includes a WTG, an RSC, a GSC, a DC-link connecting the RSC and the GSC, a PV system that outputs a DC current to the DC-link, a rechargeable battery, a bidirectional BBC connected between the DC-link and the rechargeable battery, and a controller. The method for controlling the HMS includes: preparing a definition set including a characteristic element ci and equations defining desired value c*i, a fractional order sliding mode surface ?i, and a control law element ?icnt; monitoring ci(t) and the HMS status; calculating the equations based on monitored information; and controlling the HMS based on the ?icnt(t) calculated and in accordance with a global sliding mode control with fractional order terms. The ?i comprises a fractional time integral and fractional time derivative of ei(t), where ei(t)=ci(t)?c*i(t). The ?icnt(t) satisfies ? i ( t ) ? d ? ? i ( t ) dt < 0 , when ?i(t)?0.

Abstract: A switching system manager programmed to obtain a base lookup data structure comprising nodes that enumerate all prefixes of a first traffic management policy of a first type and all prefixes of a second traffic management policy of a second type, modify the base lookup data structure based on a first set of inheritance rules associated with the first traffic management policy to generate an updated lookup data structure comprising first traffic management policy label allocations, modify the updated lookup data structure based on a second set of inheritance rules associated with the second traffic management policy to generate a combined lookup data structure comprising the first traffic management policy label allocations and second traffic management policy label allocations, program packet classification hardware of the switching system to adapt the switching system to process packets based on the combined lookup data structure.

Abstract: A system, method, and solar photovoltaic (PV) network for solar PV variability reduction with reduced time delays and battery storage optimization are described. The system includes a Moving Regression (MR) filter; a State of Charge (SoC) feedback control; and a Battery Energy Storage System (BESS). The MR filter, SoC feedback control and BESS are configured to provide smoothing of solar PV variabilities. The MR filter is a non-parametric smoother that utilizes a machine learning concept of linear regression to smooth out solar PV variations at every time step.

Abstract: An intermittent power system to provide smoothed electric power into a power grid that includes an intermittent power source, a neural network-based predictive controller (NNPC) and a low pass filter (LPF) connected to the power grid to provide the smoothed electric power. The LPF provides a smoothed power reference for the NNPC. The system further includes a neural network predictor connected between the intermittent power source and the NNPC, and a power grid connection. The neural network predictor takes electric power from the intermittent power source as an input and makes a prediction of unsmoothed electric power. A power grid connection provides the smoothed electric power of the NNPC into the power grid. The NN model solves issues related to the mathematical complexity of a conventional MPC model that arises due to the increasing complications in an intermittent power plant, including a PV power plant.

Abstract: A microgrid system is described. The microgrid system includes a Hodrick-Prescott filter configured to generate a filtered power based on an electrical power that is generated from an renewable energy. The microgrid system further includes a battery configured to output a battery power based on the electrical power and the filtered power. Also, the microgrid system includes a state of charge (SoC) control module configured to control charging and discharging of the battery by applying a feedback control on the output battery power.

Abstract: A microgrid system is described. The microgrid system includes a Hodrick-Prescott filter configured to generate a filtered power based on an electrical power that is generated from an renewable energy. The microgrid system further includes a battery configured to output a battery power based on the electrical power and the filtered power. Also, the microgrid system includes a state of charge (SoC) control module configured to control charging and discharging of the battery by applying a feedback control on the output battery power.

Abstract: The present disclosure envisages a hybrid energy storage system (HESS) for power management of a microgrid. The system includes a plurality of renewable energy sources (RES), a plurality of power converters, a DC bus and a power management controller. Each RES is configured to generate a current IRES. Each RES is connected to a power converter. Each power converter generates a DC voltage Vdc from the current IRES. The DC bus is connected to the plurality of power converters. The DC bus receives the DC voltage Vdc. The power management controller controls a battery energy storage system (BESS) and a supercapacitor energy storage system (SCSS). The BESS includes a battery which is connected to receive the DC voltage Vdc and generate a battery current ibatt. The SCSS includes a supercapacitor which is connected to receive the DC voltage Vdc and generate a supercapacitor current isc.

Abstract: A system, method, and solar photovoltaic (PV) network for solar PV variability reduction with reduced time delays and battery storage optimization are described. The system includes a Moving Regression (MR) filter; a State of Charge (SoC) feedback control; and a Battery Energy Storage System (BESS). The MR filter, SoC feedback control and BESS are configured to provide smoothing of solar PV variabilities. The MR filter is a non-parametric smoother that utilizes a machine learning concept of linear regression to smooth out solar PV variations at every time step.

Abstract: A Static Electrostatic Generator (SEG) is disclosed which produces static charges at high voltage and low current. The SEG is capable of generating positive or negative charges on a metal sphere by reversing the polarity of a DC source. The conversion efficiency of the system is about 47% and its design is simple, lightweight, and easy to manufacture. The SEG is a static device and no mechanical movement is required to produce charges. Also, the design is easily scalable.

Abstract: A Static Electrostatic Generator (SEG) is disclosed which produces static charges at high voltage and low current. The SEG is capable of generating positive or negative charges on a metal sphere by reversing the polarity of a DC source. The conversion efficiency of the system is about 47% and its design is simple, lightweight, and easy to manufacture. The SEG is a static device and no mechanical movement is required to produce charges. Also, the design is easily scalable.

Abstract: A Static Electrostatic Generator (SEG) is disclosed which produces static charges at high voltage and low current. The SEG is capable of generating positive or negative charges on a metal sphere by reversing the polarity of a DC source. The conversion efficiency of the system is about 47% and its design is simple, lightweight, and easy to manufacture. The SEG is a static device and no mechanical movement is required to produce charges. Also, the design is easily scalable.

Abstract: A Static Electrostatic Generator (SEG) is disclosed which produces static charges at high voltage and low current. The SEG is capable of generating positive or negative charges on a metal sphere by reversing the polarity of a DC source. The conversion efficiency of the system is about 47% and its design is simple, lightweight, and easy to manufacture. The SEG is a static device and no mechanical movement is required to produce charges. Also, the design is easily scalable.

Abstract: A switching system manager programmed to obtain a base lookup data structure comprising nodes that enumerate all prefixes of a first traffic management policy of a first type and all prefixes of a second traffic management policy of a second type, modify the base lookup data structure based on a first set of inheritance rules associated with the first traffic management policy to generate an updated lookup data structure comprising first traffic management policy label allocations, modify the updated lookup data structure based on a second set of inheritance rules associated with the second traffic management policy to generate a combined lookup data structure comprising the first traffic management policy label allocations and second traffic management policy label allocations, program packet classification hardware of the switching system to adapt the switching system to process packets based on the combined lookup data structure.

Abstract: A Static Electrostatic Generator (SEG) is disclosed which produces static charges at high voltage and low current. The SEG is capable of generating positive or negative charges on a metal sphere by reversing the polarity of a DC source. The conversion efficiency of the system is about 47% and its design is simple, lightweight, and easy to manufacture. The SEG is a static device and no mechanical movement is required to produce charges. Also, the design is easily scalable.

Abstract: A system, method, and solar photovoltaic (PV) network for solar PV variability reduction with reduced time delays and battery storage optimization are described. The system includes a Moving Regression (MR) filter; a State of Charge (SoC) feedback control; and a Battery Energy Storage System (BESS). The MR filter, SoC feedback control and BESS are configured to provide smoothing of solar PV variabilities. The MR filter is a non-parametric smoother that utilizes a machine learning concept of linear regression to smooth out solar PV variations at every time step.

Abstract: A Static Electrostatic Generator (SEG) is disclosed which produces static charges at high voltage and low current. The SEG is capable of generating positive or negative charges on a metal sphere by reversing the polarity of a DC source. The conversion efficiency of the system is about 47% and its design is simple, lightweight, and easy to manufacture. The SEG is a static device and no mechanical movement is required to produce charges. Also, the design is easily scalable.

Abstract: A Static Electrostatic Generator (SEG) is disclosed which produces static charges at high voltage and low current. The SEG is capable of generating positive or negative charges on a metal sphere by reversing the polarity of a DC source. The conversion efficiency of the system is about 47% and its design is simple, lightweight, and easy to manufacture. The SEG is a static device and no mechanical movement is required to produce charges. Also, the design is easily scalable.

Abstract: A Static Electrostatic Generator (SEG) is disclosed which produces static charges at high voltage and low current. The SEG is capable of generating positive or negative charges on a metal sphere by reversing the polarity of a DC source. The conversion efficiency of the system is about 47% and its design is simple, lightweight, and easy to manufacture. The SEG is a static device and no mechanical movement is required to produce charges. Also, the design is easily scalable.