CPSS Transactions on Power Electronics and Applications最新文献_第7页

Optimization Control of Power Balance for Stability Improvement in Grid-Connected PV System 提高并网光伏系统稳定性的功率平衡优化控制

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-04-25 DOI: 10.24295/CPSSTPEA.2023.00018

Qianjin Zhang;Zhaorong Zhai;Jinhui Qian;Xiaodong Liu;Sucheng Liu;Mingxuan Mao

{"title":"Optimization Control of Power Balance for Stability Improvement in Grid-Connected PV System","authors":"Qianjin Zhang;Zhaorong Zhai;Jinhui Qian;Xiaodong Liu;Sucheng Liu;Mingxuan Mao","doi":"10.24295/CPSSTPEA.2023.00018","DOIUrl":"https://doi.org/10.24295/CPSSTPEA.2023.00018","url":null,"abstract":"The scale of photovoltaic (PV) system tends to be large but the ability of power transmission has not been fully improved. When the power generated by PV array is imbalance with the power output by inverter, system becomes unstable. The instability caused by power imbalance in large PV system is rarely discussed but causes big loss once it happens. Even energy storage and reactive power compensation can help to balance the power, there is a lack of a reliable control strategy for solving this problem. This paper analyzes the stability problem caused by power imbalance in large-scale PV system, and aims to propose an optimization control to improve system stability. The output ability of large PV system is studied, and the influence of grid impedance and power factor on inverter output power is analyzed. One method based on real-time inverter control is investigated to calculate the maximum output power of inverter system, and the optimization control is proposed and implemented based on maximum power point tracking (MPPT). Finally, the correctness of the theories is validated by simulations and experiments.","PeriodicalId":100339,"journal":{"name":"CPSS Transactions on Power Electronics and Applications","volume":"8 2","pages":"181-189"},"PeriodicalIF":0.0,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873541/10177876/10108920.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67866756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Deep Learning Based Cyber Attack Detection Scheme in DC Microgrid Systems 一种基于深度学习的直流微电网网络攻击检测方案

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-04-25 DOI: 10.24295/CPSSTPEA.2023.00012

Koduru Sriranga Suprabhath;Machina Venkata Siva Prasad;Sreedhar Madichetty;Sukumar Mishra

{"title":"A Deep Learning Based Cyber Attack Detection Scheme in DC Microgrid Systems","authors":"Koduru Sriranga Suprabhath;Machina Venkata Siva Prasad;Sreedhar Madichetty;Sukumar Mishra","doi":"10.24295/CPSSTPEA.2023.00012","DOIUrl":"https://doi.org/10.24295/CPSSTPEA.2023.00012","url":null,"abstract":"In this article, a dual deep neural network (DDNN) based cyber-attack detection and correction method for direct current microgrids (DCMG) are proposed. DCMG are prone to cyber-attacks through their sensors and communication links. The injection of false data packets in the cyber layer can disrupt the control objectives, leading to voltage instability and load sharing patterns. Therefore, detection and correction of malicious data is essential for the DC microgrid stability. In this article, a DDNN is designed with prediction and correction networks. The prediction network composed with one input layer, two hidden layers and one output layer. This network predicts the converter's duty by considering the input features as DC bus voltage and the reference voltage. The correction network also composed with one input layer, two hidden layers and one output layer. This network provides the duty corresponding to the attack by considering the input features as DC bus voltage, battery voltage and reference voltage. The output from the prediction and correction network are implanted to detect and correct the false data injection (FDI) attacks. However, for the training purpose, the data is collected by performing the various attack scenarios who is able to inject the false data and disrupt the stable operation of the system. The data is then used to train a neural network to detect a larger set of FDI attacks. The proposed scheme's effectiveness is verified by conducting the real-time experiments for various attack scenarios and its results are explored.","PeriodicalId":100339,"journal":{"name":"CPSS Transactions on Power Electronics and Applications","volume":"8 2","pages":"119-127"},"PeriodicalIF":0.0,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873541/10177876/10108917.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67866769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A DC Side Power Ramp Rate Control Strategy for High Performance and Low Cost PV Systems 一种适用于高性能低成本光伏系统的直流侧功率斜坡率控制策略

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-04-25 DOI: 10.24295/CPSSTPEA.2023.00013

Xuan Jiao;Tangwu Yang;Xingshuo Li;Shuye Ding;Weidong Xiao

引用次数: 0

Scalability Assessment of the Parallel Operation of Direct Current Transformer 直流变压器并联运行的可扩展性评估

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-03-19 DOI: 10.24295/CPSSTPEA.2023.00030

Renan Pillon Barcelos;Drazen Dujic

引用次数: 0

High Frequency Current-Fed Isolated Auxiliary Power Supply for Medium-Voltage Converter 用于中压变流器的高频电流馈电隔离式辅助电源

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-03-19 DOI: 10.24295/CPSSTPEA.2023.00031

Ben Zhou;Zhixing He;Zongjian Li;Kangning Chen;An Luo;Lei Wang

{"title":"High Frequency Current-Fed Isolated Auxiliary Power Supply for Medium-Voltage Converter","authors":"Ben Zhou;Zhixing He;Zongjian Li;Kangning Chen;An Luo;Lei Wang","doi":"10.24295/CPSSTPEA.2023.00031","DOIUrl":"https://doi.org/10.24295/CPSSTPEA.2023.00031","url":null,"abstract":"In this paper, a high frequency current-fed isolated auxiliary power supply (HFCF-APS) is proposed for medium-voltage module stack converters. Unlike conventional anxiliary power supplys (APSs), the proposed HFCF-APS can realize galvanic isolation with a single high-voltage insulation cable. The HFCF-APS can flexibly extend its output number as the converter needs. Two secondary compensation topologies, capacitor-inductor (CL) and capacitor-capacitor (CC), are proposed to allow the HFCF-APS to extend the output number wide range without modifying circuit parameters and losing the soft-switching conditions of the power switches on the primary side. Moreover, two logical control circuits corresponding to the CL and CC compensation topologies are designed with a few additional components. As a result, all output channels are immune to load short and open circuits, so the reliability of the HFCF-APS is improved. To demonstrate the validity of the proposed HFCF-APS, simulations and experiments of an HFCF-APS prototype of 8–12 channels with 10 W output each are carried out. The results verify the extendibility and reliability and indicate that the proposed HFCF-APS offers a superior solution for multi-output APS.","PeriodicalId":100339,"journal":{"name":"CPSS Transactions on Power Electronics and Applications","volume":"8 4","pages":"411-423"},"PeriodicalIF":0.0,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10130067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139109328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Lifetime Prediction Method for IGBT Modules Considering the Effects of Multi-Factors 一种考虑多因素影响的IGBT模块寿命预测方法

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-03-19 DOI: 10.24295/CPSSTPEA.2023.00029

Ken Chen;Jinwen Dong;Xinglai Ge;Zhiliang Xu

{"title":"A Lifetime Prediction Method for IGBT Modules Considering the Effects of Multi-Factors","authors":"Ken Chen;Jinwen Dong;Xinglai Ge;Zhiliang Xu","doi":"10.24295/CPSSTPEA.2023.00029","DOIUrl":"https://doi.org/10.24295/CPSSTPEA.2023.00029","url":null,"abstract":"With the engineering realization and further development of maglev trains, the lifetime prediction of its main power unit, i.e., insulated gate bipolar transistor (IGBT) module, attracts much popularity. However, the complex operating conditions of maglev trains cause the lifetime of IGBTs to be affected by a combination of factors. And the analysis of a single factor will lead to inaccurate lifetime prediction. To address this, for the IGBT of the maglev trains, this paper proposes a lifetime prediction model that considering the effect of changing practical conditions and device aging. In this method, the ambient temperature change of the maglev train in a year and the change of the on-resistance during the aging process is taken into account. Meanwhile, in the system perspective, the effects of changes in voltage levels and switching frequencies are included. And the coupling effects of multiple factors are thoughtfully analyzed and introduced into the lifetime prediction model, which improves the accuracy of the lifetime prediction. Finally, the results of the factor impact analysis and lifetime prediction are validated by power cycling experiments and real vehicle operation data.","PeriodicalId":100339,"journal":{"name":"CPSS Transactions on Power Electronics and Applications","volume":"8 3","pages":"300-313"},"PeriodicalIF":0.0,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873541/10272362/10130065.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67865717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Self-Tuning ANFIS DC Link and ANN-LM Controller Based DVR for Power Quality Enhancement 基于自调整 ANFIS 直流链路和 ANN-LM 控制器的 DVR，用于提高电能质量

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-03-19 DOI: 10.24295/CPSSTPEA.2023.00032

Prashant Kumar;Sabha Raj Arya;Khyati D. Mistry;Shekhar Yadav

{"title":"A Self-Tuning ANFIS DC Link and ANN-LM Controller Based DVR for Power Quality Enhancement","authors":"Prashant Kumar;Sabha Raj Arya;Khyati D. Mistry;Shekhar Yadav","doi":"10.24295/CPSSTPEA.2023.00032","DOIUrl":"https://doi.org/10.24295/CPSSTPEA.2023.00032","url":null,"abstract":"An artificial intelligence integrated control is proposed for a three-phase dynamic voltage restorer (DVR). The proposed Levenberg-Marquardt back-propagation (LMBP) algorithm is developed by employing intelligent computational system under supervised learning. The optimized artificial neural network (ANN) model is used for the fundamental computation of load voltage components through the training process. The common training problem of ANN models are slow learning of system and get trapped in local optimum. The proposed LMBP hybridized learning system reduces the error rate and taking this advantage it overcomes the aforesaid issue. It is integrated with the adaptive neuro-fuzzy inference system (ANFIS) controller for regulating the DC and AC link voltage error. In the proposed design of ANN-AN-FIS based DVR, a hybrid learning algorithm and Gaussian membership functions are applied to extract the best forecasted ANFIS models. The trained model accuracy is evaluated based on statistical indices. The obtained values during the training state for DC link voltage error regulation are mean square error \u0000<tex>$(pmb{MSE}=0.00054585$</tex>\u0000), standard deviation (\u0000<tex>$pmb{SD}=0.023364$</tex>\u0000), and regression (\u0000<tex>$R=1$</tex>\u0000) are found effective for the approximation of ANN-LMBP model. The simulation results obtained from ANN-LMBP, and ANFIS models were tested on Micro-Lab Box experimentally which shows the improved power quality response at various operating conditions.","PeriodicalId":100339,"journal":{"name":"CPSS Transactions on Power Electronics and Applications","volume":"8 4","pages":"424-436"},"PeriodicalIF":0.0,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10130068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139109324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Dual-Coupled PCB Resonator for CMSMS Sensor Inductive Power Transfer System CMSMS传感器电感功率传输系统双耦合PCB谐振器的设计

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-03-10 DOI: 10.24295/CPSSTPEA.2023.00017

Huaqiang Xie;Lizhou Liu;Fenghua Zhang;Changxin Chen;Zhaotian Yan;Ruikun Mai

{"title":"Design of Dual-Coupled PCB Resonator for CMSMS Sensor Inductive Power Transfer System","authors":"Huaqiang Xie;Lizhou Liu;Fenghua Zhang;Changxin Chen;Zhaotian Yan;Ruikun Mai","doi":"10.24295/CPSSTPEA.2023.00017","DOIUrl":"https://doi.org/10.24295/CPSSTPEA.2023.00017","url":null,"abstract":"The wired power supply method used in the coal mine safety monitoring system (CMSMS) sensor has potential safety hazards, and an alternative power supply method is required. In order to ensure the reliability of the power supply system, a new type of compact PCB resonator is proposed in this paper. The idea of this work is, First, the compensation inductor of the inductive power transfer (IPT) system using LCL-LCL topology is integrated with the power coil. The introduction of the DDQ coil structure to construct a double-coupled LCL topology improves the energy transfer density; Secondly, a four-layer PCB resonator that does not require additional compensation capacitors is constructed, which reduces the system volume and ensures reliability; Finally, the proposed work gives the design and optimization method of the coil parameters, and build the experimental prototype, which owns the 1.08 MHz working frequency. The charging current and voltage are 350 mA and 24.5 V, respectively. Simulation and experiments verify the feasibility of the proposed PCB resonator for sensor battery charging.","PeriodicalId":100339,"journal":{"name":"CPSS Transactions on Power Electronics and Applications","volume":"8 2","pages":"170-180"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873541/10177876/10122796.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67866755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DC Short-Circuit Fault Detection for MMC-HVDC-Grid Based on Improved DBN and DC Fault Current Statistical Features 基于改进DBN和直流故障电流统计特征的MMC HVDC电网直流短路故障检测

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-03-10 DOI: 10.24295/CPSSTPEA.2023.00015

Yufan Liu;Meiqin Mao;Yuyu Zheng;Liuchen Chang

{"title":"DC Short-Circuit Fault Detection for MMC-HVDC-Grid Based on Improved DBN and DC Fault Current Statistical Features","authors":"Yufan Liu;Meiqin Mao;Yuyu Zheng;Liuchen Chang","doi":"10.24295/CPSSTPEA.2023.00015","DOIUrl":"https://doi.org/10.24295/CPSSTPEA.2023.00015","url":null,"abstract":"The fault current in a modular multilevel converter-based high voltage direct current grid (MMC-HVDC-Grid) will rise rapidly when DC short-circuit fault (DCSCF) occurs, which poses a great challenge to the prompt and accurate fault protection detection technology. Aiming to solve the issue of (DCSCF) location detection in MMC-HVDC-Grid, a statistical feature-based improved deep belief network (IDBN) method is proposed in this paper. By the proposed method, the three features, such as the standard deviation, information entropy, and kurtosis are extracted from the fault current training samples within a single terminal of MMC-HVDC-Grid and fused as the inputs of IDBN. The IDBN is trained by using the pre-training of contrastive divergence (CD) algorithm and the back fine-tuning of the supervised learning algorithm, and then the DCSCF detection is accomplished with the SOFTMAX as the output layer. In order to improve the detection accuracy and reduce the adverse effect on the converter station, the exponential decay learning rate is used to optimize the network, which can speed up the rate of convergence for the training process. Taking four-terminal MMC-HVDC-Grid as an example, the proposed method is tested and compared with other fault detection methods based on traditional neural networks, such as back propagation, radial basis function, stacked autoencoder (SAE), and support vector machine. The simulation results show that the performances of the overall classification accuracy, kappa coefficient, Jaccard distance, and detection speed by the proposed method are all superior to the other traditional neural network fault detection methods mentioned above. In addition, the online DC fault current data are continuously extracted into the trained IDBN model, and the performance of the proposed method is verified through the real-time digital simulation platform.","PeriodicalId":100339,"journal":{"name":"CPSS Transactions on Power Electronics and Applications","volume":"8 2","pages":"148-160"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873541/10177876/10122795.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67866758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Multi-Vector Based Model Predictive Control for Nested Neutral Point Piloted Converters With Constant Switching Frequency 基于多矢量的恒定开关频率嵌套中性点导频变换器模型预测控制

CPSS Transactions on Power Electronics and Applications Pub Date : 2023-03-10 DOI: 10.24295/CPSSTPEA.2023.00022

Wei Luo;Mingli ZHOU

引用次数: 0