Table of Content

15 May 2025 Volume 38 Issue 5

  

Two-Stage Stochastic Programming of Active Distribution Network Considering SOP and Active Voltage Control

LIU Aiwang, ZHANG Mingming, YAO Baoming, HU Chengping, JIANG Zhenyu, ZHANG Chao, SHI Yunhui

Electronic Science and Technology. 2025, 38(5):  1-7.  doi:10.16180/j.cnki.issn1007-7820.2025.05.001

Abstract ( 70 )   HTML ( 23 )   PDF (8737KB) ( 74 )  

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In order to solve the problem of insufficient carrying capacity of the distribution network for new energy, this study proposes a joint planning model and solution method considering SOP(Soft Open Point) and active load voltage control. The SOP mathematical model applied to distribution network planning is established, and the linear model is established for the load voltage characteristics in polynomial form and exponential form respectively. A two-stage stochastic second-order cone programming model for active distribution network is established with the objective of distributed new energy carrying capacity, investment cost and operation cost to determine the location, capacity and intraday operating strategy of devices including SOP, capacitors and distributed energy sources.Considering the uncertainty of new energy, load and energy price, a scene clustering method based on K-means is proposed. An improved Benders decomposition algorithm is proposed to solve the proposed model. The validity and correctness of the proposed model are verified by the improved 51-node system, and the influence of SOP and active voltage control on the carrying capacity of new energy is analyzed.

Corrosion Rate Prediction of Grounding Grid Based on Improved Whale Algorithm Optimization

ZHANG Haibo, PAN Pengcheng, ZHENG Feng

Electronic Science and Technology. 2025, 38(5):  8-14.  doi:10.16180/j.cnki.issn1007-7820.2025.05.002

Abstract ( 62 )   HTML ( 6 )   PDF (1065KB) ( 55 )  

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In order to improve the accuracy of predicting the corrosion rate of substation grounding grids and solve the problems of traditional BP(Back Propagation) neural networks easily falling into local optima and traditional algorithms randomly initializing populations affecting prediction accuracy, this study proposes an improved whale optimization algorithm to optimize the BP neural network for predicting the corrosion rate of substation grounding grids. An improved whale optimization algorithm is developed using chaotic mapping to initialize whale population, improving nonlinear factor to adjust adaptive weights, and enhancing search by Levay flight. Corrosion prediction model of grounding grid based on the improved whale optimization algorithm to optimize the BP neural network is established. The corrosion data of grounding network of 72 substations are simulated and analyzed. The results show that the average relative error of the improved model is 1.84%, the global maximum relative error is 3.86%, and the root-mean-square error is 0.139 02, which is significantly lower than that of the traditional model, proving the feasibility of the proposed model.

UVM Verification of BSU Arithmetic Unit in R-DSP

GUO Shuangxi, TAN Xunqiong, BAI Chuang

Electronic Science and Technology. 2025, 38(5):  15-21.  doi:10.16180/j.cnki.issn1007-7820.2025.05.003

Abstract ( 30 )   HTML ( 1 )   PDF (1122KB) ( 39 )  

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In view of the problem that the BSU(Branch Shift Unit) arithmetic unit in the R-DSP(Radar Digital Signal Processor) chip has a large design scale and complexity, and the traditional Verilog verification platform is difficult to meet its verification requirements, this study adopts the UVM(Universal Verification Methodology) to conduct functional verification of the BSU arithmetic unit.A UVM verification platform implemented based on the SystemVerilog language is constructed. Directed testing and constrained random testing are utilized for verification, and the coverage-driven approach is adopted to guide the generation of test cases, so as to fully cover all functions and code paths of the BSU arithmetic unit.After multiple rounds of verification with test stimuli, the code coverage approaches 100%, and the functional verification of the BSU arithmetic unit is completed. The proposed method provides a reference for the verification work of arithmetic units such as the ALU(Arithmetic Logic Unit),AGU(Address Generation Unit), and MU(Multiplication Unit) in the R-DSP chip.

Deep BiGRU and DPCS Sentiment Analysis Model Combined with Coattention Network

CHEN Manman, YU Lianzhi

Electronic Science and Technology. 2025, 38(5):  22-30.  doi:10.16180/j.cnki.issn1007-7820.2025.05.004

Abstract ( 42 )   HTML ( 3 )   PDF (6237KB) ( 15 )  

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In view of the problem of polysemous phenomena and the inability of emotion analysis model to extract comprehensive deep semantic features, this paper proposes a deep BiGRU(Bidirectional Gated Recurrent Unit) and DPCS(Deep Convolutional Attention Networks) emotion analysis model combined with coattention network. The model uses RoBERTa(Robustly optimized BERT approach) to obtain dynamic semantic representation of text, extracts deep contextual semantic features and important local text features through parallel dual-channel network deep BiGRU and DPCS, and uses co-attention network-based feature fusion to deeply integrate different aspects of text semantic features to obtain more comprehensive and deep global semantic features. In order to verify the validity of the proposed model, an experimental comparison is performed on the data set of movie and online shopping reviews. The experimental results show that the accuracy and F1 of the proposed model are higher than other models, and the accuracy of the two data sets reaches 93.05% and 94.67%, respectively.

Design of Electrical Stimulator Based on STM32 for Suppressing Parkinson's Tremor

LI Yujia, ZHU Boting, YIN Dongming, ZHOU Yu, SONG Chengli

Electronic Science and Technology. 2025, 38(5):  31-37.  doi:10.16180/j.cnki.issn1007-7820.2025.05.005

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In view of the pathogenesis and mechanism of upper limb quiescent tremor in patients with Parkinson's disease and analyzing the commonly used clinical therapeutic parameters, a peripheral electrical nerve stimulator system is designed to effectively inhibit upper limb quiescent tremor in patients with Parkinson's disease. This system uses STM32F103C8T6 as the core of the hardware system design. The charging circuit, the boost circuit, the pulse modulation circuit, the analog switch circuit and the serial port touch screen module are communicatied with the main control, and RT-Thread is used to write a single chip computer program to realize the intelligent control of the above modules. Parameters of the touch screen are set to generate square wave electrical stimulation pulses that can be continuously adjusted in amplitude, frequency, pulse width and time to accurately stimulate the median nerve and radial nerve.The experimental results show that the proposed method has a good stability, the system can generate a predetermined intensity of electrical stimulation signal, maintain a good performance of constant pressure, and provide support for static tremor electrical stimulation treatment.

Design of A Portable in-Situ Raman Spectrometer System Based on Microcontroller

ZHANG Qing, XUE Meng, GUO Hanming

Electronic Science and Technology. 2025, 38(5):  38-45.  doi:10.16180/j.cnki.issn1007-7820.2025.05.006

Abstract ( 43 )   HTML ( 2 )   PDF (5889KB) ( 26 )  

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In order to meet the needs of miniaturization, portability, high performance and stability of in-situ Raman spectral analysis system, and solve the problem of inconvenient carrying of single, fixed host computer used in chemical testing, environmental measurement and other sites, a master control system of STM32 spectrometer based on ARM(Advanced RISC Machine) architecture is designed according to the project requirements. In this system, STM32F4 microcontroller is taken as the core control unit of the whole system, and control program is written based on STM32 standard library function, so as to manage and control the whole power supply system and each subsystem. Based on the hardware and software of the control system, the functions of intelligent power management, laser drive control, dual upper computer control and spectral data acquisition are completed. The test results show that the integration time of the spectrometer under the coordination of the control system is adjustable from 0 to 65 536 ms, which can meet the needs of the project and has a good Raman spectrum measurement effect. In practical application, the main board of the system can be connected to various types of CCD(Charge-Coupled Device) and applied to different spectrometers, which has the advantages of stronger universality, lower motherboard cost, smaller volume, stable operation, high circuit integration, strong scalability, and has high application value in the application of Raman spectrometer.

Emotional Role Classification Based on the EEG and Instantaneous Affective Intensities

LI Ruiding, GAN Kaiyu, YIN Zhong

Electronic Science and Technology. 2025, 38(5):  46-52.  doi:10.16180/j.cnki.issn1007-7820.2025.05.007

Abstract ( 39 )   HTML ( 0 )   PDF (9378KB) ( 22 )  

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Existing affective computing studies use fixed affective labels to train an affective classifier. However, the EEG(Electroencephalogram) and true affective changes of individuals experiencing emotional stimuli are dynamic rather than constant, and different individuals have different physiological and subjective dynamic responses triggered by emotional stimuli. To address these issues, this study uses self-collected data on emotional click intensity and EEG data from the public dataset SEED-IV to categorize subjects into high and low emotional roles,which generates two types of affective intensity labels. Instantaneous affective intensity regression prediction is performed using electroencephalogram signal features and affective intensity labels across four machine learning models. According to the regression results, the applicability of two kinds of affective role groups to two kinds of affective intensity labels is analyzed. The regression results show that different emotional roles have different changes in the instantaneous emotional intensity under different emotions, and emotional roles can show better regression results on the corresponding emotional intensity label, and the division of emotional roles can better assist the analysis of individual instantaneous emotional changes.

Phased Array Pointing Accuracy Optimization Based on Low Storage

WANG Yan, ZHAO Peng, LIU Cheng, ZHAO Yongzhi

Electronic Science and Technology. 2025, 38(5):  53-59.  doi:10.16180/j.cnki.issn1007-7820.2025.05.008

Abstract ( 32 )   HTML ( 1 )   PDF (49572KB) ( 14 )  

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In view of the contradiction between high pointing accuracy requirement and low storage requirement, a method of obtaining phase shifter value based on linear interpolation is proposed in this study. A small step sweep is performed under the premise of the storage capacity of a large step sweep. The relationship between the sweep accuracy and the required storage capacity is calculated, and the feasibility of linear interpolation is analyzed. The position data and angle data in the phase shifter value are scaled differently, and the performance of the proposed algorithm is evaluated using three quantitative indexes including Phase shifter value error, pattern error and beam pointing error. The results show that the wave control memory is reduced by 98%, the phase shifter error is less than 1°, the pattern error is less than 20 dB, and the beam pointing error is less than 0.1°.

Research on Adaptive Variable Sstiffness Compliance Control of Nuclear Power Plant Pool Welding Robot

YUAN Pengda, HUI Nanmu, HAN Xiaowei, WU Baoju

Electronic Science and Technology. 2025, 38(5):  60-67.  doi:10.16180/j.cnki.issn1007-7820.2025.05.009

Abstract ( 34 )   HTML ( 0 )   PDF (1026KB) ( 18 )  

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In view of the requirements of complex working environment and high precision welding in pool welding process of nuclear power plant, gradient descent method is used to update parameters of parameter estimator step by step, so as to realize the adaptive adjustment of parameters, and improve the performance and robustness of adaptive control. A MRAC-VSIC(Model Reference Adaptive Control-Variable Stiffness Impedance Control) based on gradient descent method is proposed by combining model reference adaptive control with variable stiffness impedance control. It is used to adjust the stiffness parameters in the adaptive compliance controller. The closed-loop stability of MRAC-VSIC method is analyzed by using Lyapunov stability theory, and the stability of the closed-loop system is proved. The simulation results show that the proposed method can improve the dynamic response ability of the robot and the robustness of the control system, reduce the steady-state force error, and effectively improve the control precision and stability in the welding process.

Low-Carbon Dispatch of Carbon Capture Integrated Electric and Heating System Based on Information Gap Decision Theory

FAN Ming, HU Chengping, HE Guoyu, SHI Yunhui

Electronic Science and Technology. 2025, 38(5):  68-75.  doi:10.16180/j.cnki.issn1007-7820.2025.05.010

Abstract ( 29 )   HTML ( 1 )   PDF (25208KB) ( 6 )  

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In order to make full use of source-load resources on both sides to achieve low-carbon scheduling goals, an optimal scheduling method for carbon capture power plants and heat-load cluster electric-thermal combined systems based on IGDT(Information Gap Decision Theory) is proposed. A combined heat and power plant model with liquid storage carbon capture device is established on the source side, and its net output characteristics are analyzed. On the load side, a residential heat load aggregation model considering user comfort is proposed. By modeling the uncertainty of wind power prediction error through uncertainty set, a risk-averse IGDT-based optimal scheduling model for electric-thermal combined systems is proposed, which can meet the requirements of system robustness and economy at the same time. The analysis results show that the proposed model can effectively improve the consumption level of wind power and improve the economy of system operation.

Research on Active Clamping Technique for Flyback Converter

SUN Kuiyi, WANG Jingmei

Electronic Science and Technology. 2025, 38(5):  76-82.  doi:10.16180/j.cnki.issn1007-7820.2025.05.011

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In view of the problems in flyback converter, transformer leakage leads to the switch tube need to bear greater stress, large energy loss, failure to recover leakage energy and low efficiency of power supply, this study investigates the active clamping technology of flyback converter, analyzes the working principle and working process of active clamping circuit in flyback converter. The advantages of introducing active clamping technology in flyback converter are described. Based on flyback converter design method, the design process of ACF(Active Clamp Flyback) is reviewed, a design case of ACF is given, and a prototype is made for testing. The test results show that the prototype realizes ZVS(Zero Voltage Switching) in the working process, and the efficiency is increased by about 3% when compared with the passive clamp flyback circuit. The research results show that the introduction of active clamping technology in flyback converter can effectively improve the voltage spike and energy loss caused by transformer leakage, reduce the voltage stress of switching tube, realize ZVS, and effectively improve the efficiency and stability of power supply system.

Dual-Path Real-Time Semantic Segmentation Network with Channel-Level Global Attention Mechanism

HU Jinlei, TIAN Engang, QU Feng

Electronic Science and Technology. 2025, 38(5):  83-88.  doi:10.16180/j.cnki.issn1007-7820.2025.05.012

Abstract ( 43 )   HTML ( 3 )   PDF (9898KB) ( 40 )  

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In view of the problems of the mainstream real-time semantic segmentation methods, such as poor multi-scale feature extraction ability, weak feature extraction ability of lightweight backbone network, and lack of effective fusion of context information, a two-path real-time semantic segmentation model with global attention mechanism is proposed in this study. The FPPM(Fast Pyramid Pooling Module) is lightweight based on the PPM(Pyramid Pooling Module) to improve the speed of the module while maintaining multi-scale information extraction. Spatial information branching can compensate for the performance loss caused using lightweight backbone networks. The channel global attention mechanism effectively integrates spatial information and semantic information extracted by backbone network, and interacts with global information to improve the segmentation performance of the model. Without pre-training with other data sets, the proposed model achieves 73.8% average cross ratio on PASCAL VOC2012 validation data set with 14.6 MB of reference, and reaches 43 frame∙s^-1 on NVIDIA TITAN Xp,which indicates that the model achieves a good balance in accuracy and speed.

Research on Conducted Susceptibility of Airborne Multicore Shielded Wire

XI Songyue, XU Qi, LI Jicheng, LI Tianao, LIU Liang, LU Hongmin

Electronic Science and Technology. 2025, 38(5):  89-94.  doi:10.16180/j.cnki.issn1007-7820.2025.05.013

Abstract ( 39 )   HTML ( 2 )   PDF (1716KB) ( 16 )  

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With the increasing complexity of avionics systems, the problem of the conducted susceptibility of multi-core shielded wire harnesses in complex electromagnetic environments affects the reliability of airborne equipment. In view of the conducted susceptibility problem of multi-core shielded wire harnesses, this study investigates the shielding effects of single-ended grounding and double-ended grounding for wire harnesses with different numbers of core wires, and proposes a collaborative method combining experimental testing and data fitting. Based on the existing conducted susceptibility measurement system, the induced currents of two-core, four-core, and eight-core wire harnesses are tested and analyzed within the frequency range of 10 kHz to 0.4 GHz. The results show that the susceptibility level of a single core wire in a multi-core wire harness decreases as the number of core wires increases. For double-ended grounded wire harnesses, the shielding effect is better than that of single-ended grounded ones when the frequency is less than 300 MHz. The induced current of a single core in an eight-core wire harness is only 10% to 40% of that in a single-core wire harness, which provides an important reference for the design and engineering application of airborne multi-core shielded wire harnesses.