Abstract: A method for protecting a power system having inverter-interfaced renewable energy sources is provided. The power system includes an inverter and a control system. The control system includes a current controller including a saturation limiter and a proportional and integral (PI) controller, a phase-locked system, and a low-voltage ride-through (LVRT)control unit. The method includes: by using a Park transformation matrix, determining an output voltage of the inverter; determining a modulated voltage of the output voltage; upon detecting a grid fault, obtaining current references by the LVRT control unit; determining a fault current in a first stage of a transient phase of the grid fault; determining a fault current in a second stage of the transient phase; determining a fault current in a third stage of the transient phase; and switching the control system to a fault control mode by tracking the fault currents in the first, second and third stages, to the current references.

Abstract: The present application discloses an autoregression image abnormity detection method of enhancing a latent space based on memory, which belongs to the field of abnormity detection in computer vision. The present application comprises: selecting a training data set; constructing a network structure of an autoregression model of enhancing a latent space based on memory; preprocessing the training data set; initializing the autoregression model of enhancing a latent space based on memory; training the autoregression model of enhancing a latent space based on memory; verifying the model on the selected data set, and using the trained model to judge whether the input image is an abnormal image. In the present application, a prior distribution is not needed to be set such that the distribution of the data itself will not be destroyed, and it can prevent the model from reconstructing abnormal images, and ultimately can better judge abnormal images.

Abstract: A synchrophasor measurement-based disturbance identification method is described considering different penetration levels of renewable energy. A differential Teager-Kaiser energy operator (dTKEO)-based algorithm is first utilized to improve multiple-disturbances detection accuracy. Then, feature extractions via the integrated additive angular margin (AAM) loss and the long short-term memory (LSTM) network is described. This enables one to deal with intra-class similarity and inter-class variance of disturbances when high penetration renewable energy occurs. With the extracted features, a multi-stage weighted summing (MSWS) loss-based criterion is described for adaptive data window determination and fast disturbance pre-classification. Finally, the re-identification model based on feature similarity is established to identify unknown disturbances, a challenge for existing machine learning algorithms.

Abstract: A data-driven PMU bad data detection algorithm based on spectral clustering using single PMU data is described. The described algorithm does not require the system topology and parameters. First, a data identification method based on a decision tree is described to distinguish event data and bad data by using the slope feature of each set of data. Then, a bad data detection method based on spectral clustering is described. By analyzing the weighted relationships among all the data, this method can detect the bad data that has a small deviation.

Abstract: An antenna structure suitable for 5G use in controlling direction of radio beams and in increasing antenna gain includes a substrate, an array of antennas, a main body, a lens array, a grounding plate, and a high-impedance surface (HIS) layer embedded into the substrate. The array of antenna units is positioned on the substrate surface under the protection of the main body. The lens array includes a lens units for each antenna unit, the lens units concentrate the beams generated by the antenna units. The grounding plate is underneath and grounds the antenna units. The HIS layer suppresses surface waves generated by the lens arrays and the substrate and increases a gain of the antenna structure in certain directions.

Abstract: An antenna structure serving as an emitter in a radar device with optimized isolation of signal comprises antenna array as the radiating element. The antenna array includes array units. Each array unit includes radiating units connected by a feeder. Radiation area of each radiating unit gradually decreases from a center of array unit to ends of array unit. A specified distance is defined between centers of adjacent radiating units along an extending direction of the feeder. The feeder transmits a current signal to the array units, the radiating unit emits a radar scanning beam based on the current signal.

Abstract: A synchrophasor measurement-based disturbance identification method is described considering different penetration levels of renewable energy. A differential Teager-Kaiser energy operator (dTKEO)-based algorithm is first utilized to improve multiple-disturbances detection accuracy. Then, feature extractions via the integrated additive angular margin (AAM) loss and the long short-term memory (LSTM) network is described. This enables one to deal with intra-class similarity and inter-class variance of disturbances when high penetration renewable energy occurs. With the extracted features, a multi-stage weighted summing (MSWS) loss-based criterion is described for adaptive data window determination and fast disturbance pre-classification. Finally, the re-identification model based on feature similarity is established to identify unknown disturbances, a challenge for existing machine learning algorithms.

Abstract: A data-driven PMU bad data detection algorithm based on spectral clustering using single PMU data is described. The described algorithm does not require the system topology and parameters. First, a data identification method based on a decision tree is described to distinguish event data and bad data by using the slope feature of each set of data. Then, a bad data detection method based on spectral clustering is described. By analyzing the weighted relationships among all the data, this method can detect the bad data that has a small deviation.

Abstract: The wide application of power electronic components in power systems with renewable energy sources has changed the fault characteristics of conventional power systems, resulting in the performance degradation of conventional protections. To solve these problems, a novel principle of pilot protection based on structural similarity and square error criteria is provided. The structural similarity criterion utilizes the difference of fault characteristics between renewable sources and synchronous generators to identify internal faults, and the square error criterion is used to solve abnormal calculation of the conventional similarity based protection. Compared with conventional differential protections, the disclosed protection shows excellent performance in speed and reliability during various faults.

Abstract: A sparse voltage measurement-based fault location determination system and method for an alternating current (AC) distribution network is described. This method can use sparse voltage measurements and Bayesian compressive sensing (BCS) algorithm to reconstruct a sparse current vector. A fault location is then determined based on the reconstructed sparse current vector. The disclosed method provides robust fault location results under a variety of asymmetrical fault scenarios. Fewer intelligent electronic devices (IEDs) allocated in the terminal buses are needed for determining the fault location; therefore, this implementation is relatively cost effective.

Abstract: An antenna structure suitable for 5G use includes first and second antenna units. Each second antenna unit is positioned between adjacent first antenna units. Each first antenna unit is positioned between adjacent second antenna units. Each first antenna unit and each second antenna unit are restricted to emit a radio beam in a single polarization. The first antenna unit emits radio waves in a first polarization, the second antenna unit emits waves in a second polarization. The first polarization direction and the second polarization direction are perpendicular to each other.

Abstract: A DC collection system for a PV power plant contains a large number of feeders. When a fault occurs, the fault current rapidly increases, causing electronic devices to block to protect themselves. This blockage presents a challenge to the protection of the DC collection system because of extremely short data windows. To address this challenge, a protection method based on active control of DC/DC converters is disclosed. The fault current control principle is analyzed and derived so that DC/DC converters can provide an injected low-amplitude and controllable post-fault stable current signal. The disclosed protection method is designed based on identifying the direction of the injected signal. Simulation results indicate that the fault section can be accurately identified and that the disclosed protection method performs efficiently against transition resistance and noise.

Abstract: A distance protection system and method based on a high-frequency fault component is provided for a renewal energy source (RES) system. The voltage drop caused by a fault has a full frequency of components and this can be extracted by a wavelet transform. A frequency selection principle that renders high-frequency impedance models a stable impedance phase angle is determined. On this basis, internal and external faults with respect to a transmission line are determined by comparing the magnitude of a high-frequency operating voltage with the magnitude of a high-frequency voltage at the fault point. This disclosed protection system and method can eliminate the influence of frequency offset and weak feed of the RES system by using high-frequency signals generated by voltage drops at the fault point, and can also tolerate signal noises and fault resistance.

Abstract: A sparse voltage measurement-based fault location determination system and method for an alternating current (AC) distribution network is described. This method can use sparse voltage measurements and Bayesian compressive sensing (BCS) algorithm to reconstruct a sparse current vector. A fault location is then determined based on the reconstructed sparse current vector. The disclosed method provides robust fault location results under a variety of asymmetrical fault scenarios. Fewer intelligent electronic devices (IEDs) allocated in the terminal buses are needed for determining the fault location; therefore, this implementation is relatively cost effective.

Abstract: The wide application of power electronic components in power systems with renewable energy sources has changed the fault characteristics of conventional power systems, resulting in the performance degradation of conventional protections. To solve these problems, a novel principle of pilot protection based on structural similarity and square error criteria is provided. The structural similarity criterion utilizes the difference of fault characteristics between renewable sources and synchronous generators to identify internal faults, and the square error criterion is used to solve abnormal calculation of the conventional similarity based protection. Compared with conventional differential protections, the disclosed protection shows excellent performance in speed and reliability during various faults.

Abstract: A detection and location-based active protection method for flexible DC distribution systems with multi-terminal distributed photovoltaic sources is disclosed. The disclosed protection method actively utilizes the coordinated control between local protection and the converters in the DC distribution system. The converter can then be modified to become an injection source with characteristic signal, providing a known fault signal to build a clear protection boundary. The disclosed protection method can distinguish the correct faulted area by calculating the harmonic impedance of the characteristic signals. Compared with existing DC protection techniques, this disclosed method does not require additional injection equipment and modification of the DC distribution system configuration, nor does it need high data sampling frequency. The disclosed technique is also unaffected by measuring noise and cable-distributed capacitance.

Abstract: A DC collection system for a PV power plant contains a large number of feeders. When a fault occurs, the fault current rapidly increases, causing electronic devices to block to protect themselves. This blockage presents a challenge to the protection of the DC collection system because of extremely short data windows. To address this challenge, a protection method based on active control of DC/DC converters is disclosed. The fault current control principle is analyzed and derived so that DC/DC converters can provide an injected low-amplitude and controllable post-fault stable current signal. The disclosed protection method is designed based on identifying the direction of the injected signal. Simulation results indicate that the fault section can be accurately identified and that the disclosed protection method performs efficiently against transition resistance and noise.

Abstract: A distance protection system and method based on a high-frequency fault component is provided for a renewal energy source (RES) system. The voltage drop caused by a fault has a full frequency of components and this can be extracted by a wavelet transform. A frequency selection principle that renders high-frequency impedance models a stable impedance phase angle is determined. On this basis, internal and external faults with respect to a transmission line are determined by comparing the magnitude of a high-frequency operating voltage with the magnitude of a high-frequency voltage at the fault point. This disclosed protection system and method can eliminate the influence of frequency offset and weak feed of the RES system by using high-frequency signals generated by voltage drops at the fault point, and can also tolerate signal noises and fault resistance.

Abstract: A detection and location-based active protection method for flexible DC distribution systems with multi-terminal distributed photovoltaic sources is disclosed. The disclosed protection method actively utilizes the coordinated control between local protection and the converters in the DC distribution system. The converter can then be modified to become an injection source with characteristic signal, providing a known fault signal to build a clear protection boundary. The disclosed protection method can distinguish the correct faulted area by calculating the harmonic impedance of the characteristic signals. Compared with existing DC protection techniques, this disclosed method does not require additional injection equipment and modification of the DC distribution system configuration, nor does it need high data sampling frequency. The disclosed technique is also unaffected by measuring noise and cable-distributed capacitance.

Abstract: An antenna structure suitable for 5G use includes first and second antenna units. Each second antenna unit is positioned between adjacent first antenna units. Each first antenna unit is positioned between adjacent second antenna units. Each first antenna unit and each second antenna unit are restricted to emit a radio beam in a single polarization. The first antenna unit emits radio waves in a first polarization, the second antenna unit emits waves in a second polarization. The first polarization direction and the second polarization direction are perpendicular to each other.