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 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 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: The fault ride-through and power smoothing system includes a buck converter for Maximum Power Point Tracking (MPPT) of a PV array power system, a buck-boost converter to connect a supercapacitor energy storage system (SCESS) to the DC link, and a voltage source converter (VSC) to transfer the DC link power to the grid. Three independent controllers are implemented, one for each power electronics block. The effectiveness of the controllers is examined on Real Time Digital Simulator (RTDS).

Abstract: The neuro-fuzzy control system for a grid-connected photovoltaic (PV) system includes an Adaptive Neuro-Fuzzy Inference System (ANFIS) implemented in real time. Independent active and reactive P-Q power control transfers the generated power to the grid using a voltage source inverter (VSI). The PV system includes a PV module, a buck converter, a VSI, a maximum power point tracking (MPPT) controller for the buck converter, and a VSI controller. The MPPT controller uses irradiation and temperature as inputs. A five-layer ANFIS processes these inputs and provides a control reference voltage as input to a PI controller connected to the buck converter to maintain the output voltage of the photovoltaic array with respect to the control reference voltage.

Abstract: The fault ride-through and power smoothing system includes a buck converter for Maximum Power Point Tracking (MPPT) of a PV array power system, a buck-boost converter to connect a supercapacitor energy storage system (SCESS) to the DC link, and a voltage source converter (VSC) to transfer the DC link power to the grid. Three independent controllers are implemented, one for each power electronics block. The effectiveness of the controllers is examined on Real Time Digital Simulator (RTDS).

Abstract: The neuro-fuzzy control system for a grid-connected photovoltaic (PV) system includes an Adaptive Neuro-Fuzzy Inference System (ANFIS) implemented in real time. Independent active and reactive P-Q power control transfers the generated power to the grid using a voltage source inverter (VSI). The PV system includes a PV module, a buck converter, a VSI, a maximum power point tracking (MPPT) controller for the buck converter, and a VSI controller. The MPPT controller uses irradiation and temperature as inputs. A five-layer ANFIS processes these inputs and provides a control reference voltage as input to a PI controller connected to the buck converter to maintain the output voltage of the photovoltaic array with respect to the control reference voltage.

Abstract: The fuzzy linear programming method for optimizing charging schedules in unidirectional vehicle-to-grid systems is a computerized fuzzy linear programming method for an electric vehicle (EV) aggregator that coordinates the provision of ancillary services, such as regulation and spinning reserves, to electricity markets using unidirectional vehicle-to-grid (V2G). The fuzzy optimization incorporates uncertainties while maintaining the tractability of the problem size since, in fuzzy optimization, there is no need to represent each stochastic parameter by a number of scenarios. This allows for optimizing the charging of all EVs simultaneously, as well as taking market aspects into account, guaranteeing maximization of aggregator profits, and further considering electricity market uncertainties, such as ancillary service prices and ancillary service deployment signals.

Abstract: Wavelet transform systems and methods for voltage events detection and classification are provided and include a wavelet multiresolution analysis-based real time detection and classification for voltage events, as developed on a LabVIEW® platform. In the wavelet transform systems and methods for voltage events detection and classification, a finest detail level is utilized to detect the start time, the end time, and the duration of the voltage events, whereas a coarsest approximation level is used to classify the voltage event types. The wavelet transform systems and methods for voltage events detection and classification are applied on several typical short duration voltage events, such as sag, swell, and interruption.

Abstract: The quadrature-based voltage events detection method accurately characterizes magnitude and duration of short duration voltage variations, such as sag, swell and interruption. The short duration voltage events are quantified by calculating the rms voltage. The present method utilizes a quadrature procedure to calculate the rms values for power quality event detection. Parameters that are most influenced by variations in rms voltage are used for event detection. Experimental results demonstrate the superiority, accuracy, and robustness of the quadrature method for all cases considered.

Abstract: The supercapacitor-based grid fault ride-through system provides a dynamic model of a wind generation system including a Voltage Source Converter (VSC), which functions as a Static Compensator (STATCOM). The power control capability of the STATCOM is extended by incorporating energy stored in a supercapacitor. The system implements a vector control technique based on the decoupling of real and reactive power. Simulation results show that a fixed speed induction generator is capable of withstanding a significant grid fault when aided by the supercapacitor-based grid fault ride-through system. Moreover, the induction generator regains its pre-fault status immediately after the fault is cleared.