Abstract：In view of the requirement of high-speed transmission of payload data in space application, a design scheme of SpaceWire interface controller is proposed according to the SpaceWire protocol. The logic is designed by Verilog programming language, and the interface controller IP is implemented. The prototype is verified by XC4VSX55 FPGA, and the feasibility of the whole design is verified. The IP is implemented in the ASIC LoongSon 1E300. The testing environment is setup, and the synchronization and accuracy of the data transmission process is verified. The actual test results of the ASIC show that the interface′s signaling rates can reach 200 Mb/s, which satisfies the functions stipulated by the protocol.

Abstract：A compact ultra-wideband and flexible MEMS monopole antenna fed by coplanar waveguide(CPW) was proposed, which has the characteristics of simple structure, light quality, ease of integration and flexible bending. The antenna used a PDMS material with outstanding flexibility and great self-recovery as its substrate. The disc shaped metal radiation structure was designed on the side of the flexible substrate, and the CPW structure was integrated with the antenna on the same side of the substrate. In the experiment, it is proved that the combined treatment of oxygen plasma and SDS can effectively improve the adhesion effect of photoresist and PDMS surface. The MEMS monopole flexible antennas fed by CPW were separately fabricated on the PDMS flexible substrate by metal lift-off process based on AZ6130，RZJ304 and AZ5214E photoresist, and the performances and the lift-off difficulty of the antennas fabricated based on different photoresists were compared. The frequency band of the antenna is 3.3 GHz to 5 GHz, of which the impedance matching is perfect and the radiation directivity is stable. It can be applied to 5G communication system, and also provides a reference for the research of flexible antenna.

Abstract：Based on the traditional first-order compensation bandgap reference analysis, this paper proposes a novel high-order compensation technique and uses this technique to design a curvature compensation voltage reference with a low temperature coefficient over a wide temperature range. The circuit structure proposed in this paper is designed and simulated based on the VIS 0.15 μm BCD technology. The simulation results show that the average output voltage of the reference circuit is 539 mV and the temperature coefficient is 1.40 ppm/℃ in the wide temperature range(-60 ℃~120 ℃), the line regulation of output voltage at 27 ℃ is 0.001 9% under the power supply from 1.3 V to 2.1 V, and the power supply rejection is greater than 84 dB at 100 Hz.

Abstract：This paper designs a UHF band and small passive anti-metal RFID electronic tag antenna. On the basis of one end port enclosed small micro-strip antenna, the substrate uses dielectric constant in 22 of the microwave dielectric ceramic to further decrease the size of the antenna. Insert-fed is adopted，in which one end grounds through short-circuit patch，and the other end of the radiation patch loads short-circuit patch to redize broadband. Using HFSS simulation software for antenna design, the size of the antenna is about 32 mm×24 mm×4 mm, which is placed on a 200 mm×200 mm metal plate. In the working band of 860～960 MHz, S11 is less than -15 dB, impedance matching is excellent, and the reading distance of the simulation of MATLAB is about 7 m. The overall design of the tag antenna meets the design requirements of miniaturization, anti-metal, broadband, and low cost.

Abstract：Reducing the memory bit cell area by reducing the number of transistors is a relatively straightforward solution to achieving a high density SRAM design. In the design of critical SRAM cells, the stability characteristics exhibited by different operating states are important criteria for judging the SRAM design. In this paper, the stability of the data retention and read write operations of the traditional 6T and 4T SRAM cells is compared, under the 55 nm CMOS process node. After Monte Carlo simulations, the results show that compared with the 6T SRAM structure, 4T reduces the layout area by 20%. At the same power supply voltage(VDD), by adding a read assist circuit in the peripheral circuit, the read stability is increased by 110% , and the write capability is enhanced by 183%.

Abstract：The main research direction of hardware trojan detection is based on the side channel analysis. This paper proposes an optimized support vector machine(SVM) classification method to improve the accuracy and speed when analyzing the data for detection hardware trojan. Firstly, the principal component analysis is used for data dimension reduction. Then, genetic algorithm is used to accelerate the selection of optimal penalty coefficient and kernel function parameters. Finally, the hardware trojan detection classifier is built with SVM. Experimental results show that the optimized SVM method improves the detection speed and accuracy, and can effectively detect hardware trojans with the area of 0.1%,the accuracy can be increased by 15.6%，and the time consumption can be reduced by 98.1%.

Abstract：The physical unclonable function(PUF) circuit is a special recognition technology in the chip field. By extracting random deviations of the manufacturing processes it generate unlimites number of special keys. In this paper, a multi-mode hybrid reconfigurable PUF(Mhr-PUF) scheme based on linear feedback is proposed. The proposed PUF includes the storage PUF circuit, linear feedback shift register and arbiter PUF circuit. Firstly, random source of storage is used to generate the selection signal of the self-selection feedback network, which achieves the random selection function of the feedback network. Then, linear feedback shift register generates random number sequence according to the feedback signal. It is used as the n bits path selection signal of the arbiter PUF to implement the serial key of Mhr-PUF. Finally, the proposed Mhr-PUF circuit is designed under TSMC 65 nm process. Experiment results show that the randomness is 96.2% and the uniqueness is 50.8%.

Abstract：This paper proposes a design scheme for chest X-ray images analysis by using embedded technology and deep learning technology. The hardware platform of the analysis system using NIVIDIA′s Jetson TX2 as the core board, equipped with Ethernet modules, WiFi modules and other functional modules. It uses the MobileNets convolutional neural network on GPU server to train the marked chest X-ray image dataset then transplants the trained model to the Jetson TX2 core board, detecting the symptoms of pleural effusion, infiltration, emphysema, pneumothorax and atelectasis on the embedded platform. The chest X-ray image data provided by the National Institutes of Health(NIH) were tested in the trained model. Experiments have shown that this method gets higher accuracy and requires less time than other methods.

Abstract：In order to realize the fast restoration of spectral distribution of static interference system, a fast spectral data processing system is designed based on FPGA. Through the FPGA hardware design, the high-speed acquisition and rapid spectral data inversion calculations of the CCD data have been completed. According to the characteristics of the spatial domain to the frequency domain of static interference fringes, the corresponding drive module is designed. Through simulation analysis, it verified its high efficiency. We chose to use three different types of data for comparison. The results show that 8 bit is the fastest, but its spectral contrast is the worst; The 12 bit contrast is best, but it takes longer. In a comprehensive comparison, 10 bit are selected, and its spectral amplitude contrast and processing speed are both moderate. Finally, an FPGA spectral restoration system was constructed. The static interference fringe obtained by the 980 nm laser incident static interference module was tested. The same set of data also uses MATLAB for spectral inversion. The comparison results show that the center wavelength position, amplitude and half-width of the system test data are in accordance with the MATLAB simulation data.

Abstract：In order to solve the problem such as weak calculation performance and complex sensor data interaction of the missile-borne computer in the existing guided weapons, and to improve its computing power and hardware integration, a new design of the general missile-borne computer based on the SoC FPGA is proposed. The experiment results show that the new missile-borne computer has a significant improvement of hardware integration, meanwhile, the time-consuming experiments on three platforms(ARM，DSP and SoC FPGA) have also been done. The experiment results show that compared to the traditional serial calculation method, the operation time of the new type parallel acceleration program is 4 ms, which decreases by an order of magnitude and obtains better acceleration effect. The proposed new type of general missile-borne computer has a high integration and rich interface, and the program calculation can meet the real-time and precision requirements of modern weapon guidance.

Abstract：The mobile robot with a trailer is a multi-vehicle system, and the control difficulty of the multi-robot during operation is also increased accordingly. This paper studies the kinematics model of an indoor delivery robot with a single trailer and proposes a control scheme for the distribution robot with a single trailer using a single kinematics model. Firstly, the kinematics model of a mobile robot with a single trailer was designed. Then, a vehicle-mounted MiniPC equipped with ROS(Robot Operating System) was used as a host computer, and STM32F103 was used as a lower-level machine to complete an in-house delivery robot system with a single trailer，to achieve the robot′s autonomous motion control. The experimental results show that both in the linear corridor and the “T-shaped” corridor the control system can well take into account the steering conditions of the trailer part, and realize the autonomous navigation of the distribution robot with single trailer. An effective solution has been proposed for the control of distribution robots with single trailer.

Abstract：This paper fully studies the relation between the velocity of ultrasonic wave and the concentration and temperature of urea solution obtained from vehicle exhaust, based on the principle of ultrasonic wave transmitted with different speeds in different concentration solutions.The experiment results show that the velocity of ultrasonic wave transmitted in the urea solution is higher when the concentration of urea solution increases, and indicate that their relationship is obviously linear. Furtherly, experiment results also reveals that the temperature of urea solution has a certain influence on the propagation speed of ultrasonic wave. By using the ultrasonic time-difference method, the temperature compensation, moving average filter and linear regression method, the real-time detection for the concentration of urea solution is achieved, and the error of this detection method is less than 0.5%. The system sends data to the main equipment of Selective Catalytic Reduction(SCR) system through CAN bus, which provides an efficient guidance on vehicle exhaust treatment.

Abstract：The integrated industrial control chassis is compatible with all kinds of pluggable boards using CPCI interface. The CPCI design of board card uses special chips to match the FPGA, which reduces the extensibility, and increases the area and cost of the card. In order to solve these problems, a CPCI interface based on FPGA is designed. This paper describes the CPCI protocol implemented with FPGA, simulation and external communication bus protocol, external interrupt mechanism, and conflict avoidance mechanism. This design is used in various CPCI cards produced by the mass production, and it is used in the CPCI chassis of various manufacturers. Compared with the traditional implementation scheme, the scheme has the advantages of low cost, small size, good flexibility and high compatibility. It has obvious advantages in the field of small industrial control.

Abstract：In order to solve the problem of low coherent signal DOA estimation accuracy and low resolution in low signal to noise ratio, this paper proposes a DOA estimation algorithm for coherent signal under low SNR. This method mainly uses the advantages of spatial smoothing algorithm and ES-MUSIC algorithm. Coherent signals are decohered through spatial smoothing, and then ES-MUSIC algorithm is used to estimate DOA. In this paper, the DOA estimation success probability, DOA estimation mean square error and DOA estimation successful resolution are compared. The test results show that compared with the traditional method, the proposed method has higher DOA estimation accuracy and resolution at low signal to noise ratio.

Abstract：To record the flight data of unmanned helicopter in real time, and for the convenience of subsequent analysis of the helicopter′s flight state and mathematical modeling, in this paper, a data recorder with the features of good practicability, generality and convenient to transplantation is designed with software and hardware solution. This solution is designed with ARM microcontroller combined with SD card and the file system, and commonly used communication interfaces are added to connect with different devices using different communication protocols. By actual running tests, the flight data can be well stored in the file set up before, and provides the convenience for subsequent data analysis, curve drawing and so on. Also, it has certain significance for popularization and practical value.

Abstract：This paper proposed a “coal-to-electricity” energy saving system，which collects a large amount of heating data, users′ behavior data, weather data and houses′ data of each user′s sensor in real time, and applies the BP(Back-Propagation Network) to analyze heating power consumption. The system could support data management and analysis easily, and could improve the distribution network construction and users′ configurations, which has significant positive significance in the “coal-to-electricity”project.

Abstract：MWC implements the synchronous compression sampling of sparse wideband signal, however, there is still room for improvement in the anti-interference of the existing reconstruction algorithm. So this paper proposes an improved MWC reconstruction algorithm based on wavelet threshold de-noising. By applying stationary wavelet transform to MWC samples and designing the selection rules of wavelet coefficients, the edge information of the signal is preserved as much as possible while de-noising, which reduces the signal distortion caused by over-smoothing. Experiments show that the method has good de-noising effect at low SNR level, and the reconstruction rate can increase by 21.8% at most. Because of its good portability, it can be used with other reconstruction algorithms that reduce the number of channels or running time to further improve the performance of the whole MWC system.

Abstract：A fast switching spatial modulation scheme is proposed to improve the secrecy performance of the spatial modulation signal. The signal is a space-spread-spectrum signal associated with the channel information because of fast antenna switch. In this way, the desired receiver can demodulate the received signal according to the agreed antenna switching sequence using the relevant receiving method. Without the switching sequence of the information, eavesdroppers cannot get any useful information from the received signal. Simulation results show that the signal hidden in the background noise has a better secrecy performance at physical layer than traditional spatial modulation signal.

Abstract：The addition of multi-gateway function and protocol in the Destination Oriented Directed Acyclic Graph (DODAG) network routing topology of 6LoWPAN is conducive to the improvement of the entire network capacity and the reduction of energy consumption and load of nodes. Aiming at gateway load balancing and considering the factors of residual energy and link quality, this paper proposes a multi-gateway deployment algorithm suitable for 6LoWPAN network. According to the load accumulation characteristics of the tree topology network, a deployment algorithm is executed to search for a candidate gateway and determine the location. Simulation results show that the algorithm can achieve better gateway load balancing with the number of gateways close to other algorithm.

Abstract：Wireless charging has the advantages of safe charging and high efficiency. It has been applied to wireless data acquisition systems to solve the problem of power energy life and prolong the working life of the system. However, wireless data acquisition systems based on wireless charging currently use additional wireless communication modules to transmit data collected by sensors, which increases the volume and power consumption of the sensor nodes. It is undoubtedly catastrophic in data acquisition applications such as implantable medical devices and volume-restricted confined containers. Considering the hybrid transmission of energy and data in wireless charging system, the Qi standard is expanded in this paper to realize the transmission of sensor acquisition data by means of wireless charging system. Without additional wireless communication module, this method reduces the volume and power consumption of sensor nodes, simplifies the system circuit and reduces the cost.

Abstract：This paper studies the precoder design in multi-input multi-output(MIMO) interference channels, where it is assumed that interference channels have line-of-sight(LOS) paths and can be modeled as Rice fading channels，and the transmitter can only retrieve channel statistical information—channel mean matrices. Based on maximum signal-to-interference-plus-noise ratio(SINR) and signal-to-interference-plus-noise difference(SIND) criteria, two precoding methods are proposed. For the first method, an auxiliary variable is introduced so that the original non-convex problem is transformed into a convex one. Consequently, this problem is solved by the proposed bisection method that incorporates convex optimization softwares. For the second method, the original problem is decomposed into several sub-problems and the corresponding analytical solution is derived. By computer simulation, this paper demonstrates the convergence of the proposed algorithm and analyzes the effect of Rice factor on the system performance. The proposed methods are compared with a few classical transmission schemes and the results show the superiority of the proposed methods.

Abstract：For network paralysis problem caused by service damage and its diffusion of high-power crosstalk attack in multi-domain optical network, through analyzing the process of the propagation of high power crosstalk attack, this paper expounds the similarity between the high-power crosstalk attack and the spread of infectious diseases, and proposes a new crosstalk attack model CAP-SIS(Crosstalk Attack Propagation-Susceptible Infected Susceptible) based on the epidemic dynamics in multi-domain optical network, with the Ford-Fulkerson algorithm describing the attack power cumulative effect in the transmission delay phase of the multi-domain optical network. The simulation experimental results show that the propagation model can objectively reflect the propagation rule of high-power crosstalk attacks in multi-domain optical network, and provide the theoretical support for the detection and location of crosstalk attacks in the next step.

Abstract：EHWSN has been applied in some practical situations, such as in the field of structural health monitoring. However, there are still many defects that need further study(such as node deployment and routing). This paper presents a new EHWSN system for structural health monitoring. It aims at the following three problems：(1)the number of nodes deployed the least;(2)the optimal transmission path from each node to the sink node;(3)the maximum network utility under the constraint of energy collection. The joint optimization algorithm for node deployment，routing and energy allocation achieves the goal of maximizing the quality of data sampling by implementing a minimum number of deployed nodes. Experimental results show that this joint optimization algorithm can achieve more efficient network energy allocation and greater network utility than existing methods.

Abstract：For the new types of features of interference such as large interference power, wide frequency band and many styles, the adoption of a coherent fast frequency hopping system can improve the anti-interference ability of wireless communication systems. In order to meet the strict continuous requirement of frequency-hopping signal carrier phase in a coherent fast-hop system, a fast frequency hopping(FFH) signal generator is designed based on multi-channel parallel direct frequency synthesis(DDS) technology. Also, the generator is implemented by using a hardware platform with FPGA and DAC. The actual examination verifies that the performance characteristics meet the design requirements.

Abstract：J wave is an abnormal variation in the electrocardiogram(ECG). It is of great significance to realize J wave automatic classification for the clinical diagnosis of J wave related disease. In this paper, features are extracted based on time-frequency domain and phase space. On the one hand, tunable-Q wavelet transform(TQWT) and high-order cumulant are used to mine the detail characteristics. On the other hand, recurrence plot(RP) is adopted to show the occurrence of recursive points in the cardiac system. After dimensionality reduction, the two types of features, which are fused in parallel, are input to the improved AdaBoost classifier to realize the classification of normal beats, benign J wave beats and malignant J wave beats. The experimental results show that the average accuracy of the classification is about 79%, which is helpful for the diagnosis of benign and malignant J wave.

Abstract：This paper analyses the hot point about the “Belt and Road” initiative of American mainstream news media and studies the sentiment of related public opinion. Web crawler is used to automatically collect relevant news and filter high-frequency words to get media attention hotspots. An integrated model of automatic summary-convolutional neural network(CNN) is proposed for document-level sentiment analysis. The model firstly extracts the abstraction to remove the interference of non-important data in the original document, then the convolutional neural network is used to analyze the sentence-level sentiment, obtain the document-level emotional score based on the semantic pointing method, and the emotional fluctuation abnormal articles are analyzed twice. Contrastive experiments on real data shows that the automatic summary-CNN integrated document-level sentiment analysis model is superior to the single CNN method in sentiment analysis.

Abstract：For short-text classification in case the traditional classification algorithm does not work well, this paper proposes a search-based method employing NaiveBayes. The classification method is considered in the text data set scale, document length, the number of categories, distribution and so on. The NaiveBayes algorithm is improved, and the search technology is applied to the domain of text classification. This classification algorithm can be applied to the short text categorization fields such as twitter, WeChat, short message, phrase comment and so on. This paper describes the whole process, including the classification algorithms, training and the evaluation. The results indicates that the classifier has better performance comparing with other methods.

Abstract：The intelligent nursing of the elderly and other special populations is the new research direction of human activity recognition. For the existing activity recognition methods, the number of samples that need to be manually marked when learning samples is large, and there is a problem that the workload is large and the recognition rate is low in the application of activity recognition for special populations. Therefore, an active learning and prediction method is proposed, which constructs the objective function according to the information entropy and mutual information, to learn activity sample set actively, and automatically generates the subset of the samples need to be manually marked. At the same time, the undirected graph model is used as the activity descriptor, and the class labels are predicted through belief propagation method. The experimental results show that this method requires a small number of manually labeled samples, and the recognition rate of activity recognition for special populations is high.

Abstract：In order to solve the problem of color distortion caused by ignoring color components in the process of traditional tone mapping inprocessing HDR images,an adaptive color adjustment method is presented.In the method,firstly the image is compressed by tone mapping in the luminance domain and then to the color domain,the color corrected image is processed using color recovery and color enhancement algorithms to correct for color distortion.Through experiments,it compares the method with the other two methods, and analyzes from the subjective and objective aspects respectively. The results show that adding color adjustment algorithm in color domain can effectively reduce the influence of color distortion.

Abstract：Vulnerability is an important object in the research of information security, but there are many kinds of vulnerabilities at present, and the verification is complex. In view of the difficulties of building security vulnerabilities and the difficulties of vulnerabilities reappearing, a framework system is designed to deploy vulnerabilities in containers based on Docker virtualization technology, and the corresponding verification script is used to implement the framework system. The framework system verification process needs to provide Dockerfile file or Docker mirrors, as well as matching vulnerability verification scripts. Firstly, the system runs a Docker container with a vulnerability program. The framework then calls the verification or attack scripts that match the vulnerability to verify the availability. After testing, the system can greatly improve the speed of the vulnerabilities recovery, and reduce the difficulty and the technical threshold for the reappearing of the vulnerabilities.

Abstract：In order to solve the problem of low output efficiency in solar power supply system, a battery energy storage power supply system based on bidirectional converter is proposed. The system consists of a microcontroller module, a DC-DC converter module and switch module. The microcontroller module can detect and adjust the input and output current, and the DC-DC converter module can realize the voltage conversion from the input to the output. The switching module can change the direction of the energy transfer at both ends of the converter. The experimental results prove that the efficiency can reach 97.25% when the charging current is 2 A. When the discharge current is 1 A, the efficiency can reach 95.3%. The current step adjustment value is less than 0.05 A.

Abstract：Dual-switch Buck-Boost has some advantages such as ground sharing between input and output, low switching device stress. Under the synchronous mode, the switch loss is serious. Under the non-synchronous mode, the efficiency of the converter is improved by using staggered or double-edge control. In order to further improve the efficiency of the dual-switch Buck-Boost converter, a two-mode dual-edge modulation control strategy is proposed. By controlling the switching mode of converter with arbitrary duty cycle and any phase shift, and discussing and analyzing in detail and comparing the advantages and disadvantages of the main characteristics of the four switching modes, it is concluded that the control strategy of the two-mode dual-edge modulation can effectively reduce the average inductor current and the ripple of the converter，and improve the efficiency. Finally, a simulation model is built ,which has verified the correctness and effectiveness of the control strategy proposed.

Abstract：LCC resonant converter has a good feature of constant current characteristics, which is the ideal driver for medium and high-power LED lighting. In this paper, based on a LCC resonant converter characteristic that the transformer primary side voltage can still be approximated as a square wave when the parallel resonant capacitor capacity is much smaller than the series resonant capacitor, the first harmonic analysis(FHA) is adopted to obtain current gain curve. According to the characteristics of the current gain curve, the optimal operating region selection strategy is proposed, and the calculation method of the LCC resonator and transformer parameters is given in detail. Lastly, a driver with an input voltage of 395 V, an output current of 2 A and an output voltage range of 16 V to 48 V was designed to verify the rationality of the method.

Abstract：An improved simple passive snubber inverter is proposed in order to solve the problem of complicated snubber circuit in the traditional soft-switching topology. Only a few passive components are used in the novel topology. The loss and Electromagnetic Interference(EMI) are low because of the soft-switching and reduced resonant times. The new topology can realize the zero-current turn-on and zero-voltage turn-off of the power switches. The principle of the novel passive soft-switching topology is analyzed in detail in this paper. The novel topology simulating model is built. The simulation results indicated that the power switches are soft switching and the loss are reduced. The rationality of the new structure is verified.

Abstract：In order to meet the requirements of high-gain DC Boost converters in new energy generation systems and meet the needs of multi-stage high-voltage DC power supply in electric vehicles, this paper presents a high-gain Boost converter based on DCM module. The article analyzes the working principle and performance characteristics of the Boost converter, and compares its main performance with some other high-gain DC converters at the present stage. Finally, the effectiveness of the converter was verified by a laboratory prototype with a rated power of 170 W.

Abstract：In order to reduce the total harmonic distortion(THD) of the grid-connected current caused by the high-frequency switching of the inverter, this paper combines the high efficiency single-phase H6-type inverter with LCL filter. The double closed-loop control method that grid-connected current is outer loop and capacitor current is inner loop is used, whose aim is to eliminate the problems that LCL filter′s system damping is low and there is the syntonic phenomenon. In the grid-connected current outer loop, quasi proportion resonant(QPR) controller is adopted to overcome the steady-state error and weak anti-jamming capability in traditional PI controller. Finally, a simulation model is built in Simulink to verify the research. The simulation results show that, based on the single-phase H6-type inverter and LCL filter, the double closed-loop QPR control strategy can achieve the static error free tracking control of grid-connected current, which makes the system more stable and reduces the THD of grid-connected current effectively.

Abstract：The structure and operation mode of electric vehicle charging station of optical storage are introduced. Following this, the control strategy of electric vehicle charging station is proposed, which determines the operation mode of charging station depending on maximum power output of PV system and state of charge of battery, so that the coordinated control of PV power generation, charging and discharging of energy storage system, charging and discharging station requirements and grid connection is realized. For the bi-directional DC-DC converter of energy storage end, the voltage and current double closed-loop control method is adopted, and the bus voltage is layered to avoid the battery charging and discharging frequently. For the DC-AC grid side converter, voltage outer loop and inductance current inner double loop control are utilized. The experimental results show that the control strategy should enable electric vehicle charging station to switch between various operation modes effectively and maintain the DC bus voltage balance of system, and verify the effectiveness of the control strategy.

Abstract：In order to improve the regulation capability of the wide range output voltage and light load efficiency, this paper proposed two level control strategy. Asymmetrical Pulse Width Modulation(APWM) was used in the LLC series resonance with voltage double rectifier and a feedback controller was added to get the proper crossover frequency and enough relative stability. Phase-locked loop control(PLL) was used to track the resonant frequency. In addition, considering the high switching frequency of the secondary leakage inductance will affect the input and output voltage gain, this paper added secondary leakage inductance to the model to reduce the reverse blocking voltage of rectifier diode, which can improve the accuracy of modeling. Simulation and experiment have verified the correctness of the theoretical analysis and the feasibility of the control strategy.

Abstract：In order to improve the accuracy and effectiveness of probabilistic power flow analysis in modern power system, a reduced order extended cumulant estimation method for probabilistic power flow Cornish-Fisher series(CFM) considering uncertain photovoltaic generation and electric vehicle charging(PV-EVs) is proposed. Firstly, in view of the increasing number of photovoltaic and electric vehicles in modern society, the uncertainties of probabilistic load flow models caused by these two factors are considered simultaneously in the probabilistic power flow calculation of power system. Secondly, we consider the charging problem of plug-in hybrid electric vehicle(PHEV) and battery electric vehicle(BEV), and use different queuing models to characterize the charging models of cell charging and public charging stations. Finally, we use the Cornish-Fisher series expansion cumulant estimation method to estimate the model system, achieve the reduced order processing of the estimation model, and improve the computing efficiency. The effectiveness of the proposed method is verified by the simulation experiments on the Ward-Hale 6-bus power supply system and the IEEE 140-bus distribution system.