2022 International Conference on Power Energy Systems and Applications (ICoPESA)最新文献

{"title":"A FCS-MPC-Based Open-Circuit Fault Diagnosis Method for Inverters in Traction Systems","authors":"Hongwei Tao, Tao Peng, Chao Yang, Jinqiu Gao, Zhi-wen Chen, Chunhua Yang","doi":"10.1109/ICoPESA54515.2022.9754450","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754450","url":null,"abstract":"Effective fault diagnosis methods can improve the reliability of the two-level inverter used in traction systems. In this paper, a diagnosis method for open-circuit (OC) faults in transistors is proposed, which is based on finite control set-model predictive control (FCS-MPC). First, the cost function is constructed and the inverter is controlled by the FCS-MPC. Then, the actual and estimated value of the cost function are calculated. the difference between them are applied to fault detection. Next, Combine the command signals and current direction, the numbers of affected sampling points in a period are counted, different numbers correspond to different fault locations. The numbers are normalized and the largest percentage is used to determine fault location. Finally, the simulation platform is established, the feasibility and effectiveness of the proposed fault diagnosis method is verified by simulation results.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116216395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Improved Deadbeat Control Method for Second Harmonic Current Reduction in Two-Stage Single-Phase Inverter","authors":"Yeshuang Lei, Pengcheng Yang, Miao Yu","doi":"10.1109/ICoPESA54515.2022.9754479","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754479","url":null,"abstract":"The instantaneous output power of the two-stage single-phase inverter pulsates at twice the output frequency, resulting in a large number of second-harmonic current (SHC) in the front-end dc-dc converter, which impairs the function of the dc-dc converter. To reduce the SHC and avoid complex closed loop design, an improved deadbeat control (DBC) method, which integrates the voltage proportional integral loop into the inner current deadbeat control loop, is proposed in this paper. It intends to directly control the inductance current of the front and rear converters respectively, so as to reduce SHC and make the DC bus capacitor provide almost all pulsating power. In order to solve the problem of delay compensation in DBC, a method of one-beat-delay tracking is used to improve the control stability. Finally, the effectiveness of the proposed improved DBC method is verified by the real-time hardware-in-loop tests.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116716438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Impulse Modulation Strategy for the M-Phase Permanent Magnet Synchronous Motor with the Current Source Inverter","authors":"Chao Chen, Zhen Chen, Jing Zhao, Youguang Guo, X. Liao","doi":"10.1109/ICoPESA54515.2022.9754464","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754464","url":null,"abstract":"In order to reduce the complexity of the space vector selection and the computation of the vector dwell time of the traditional space vector pulse width modulation (PWM) strategy, this paper proposes a novel impulse modulation strategy for the permanent magnet synchronous motor with the current source inverter. Based on the impulse theory, this method can calculate the impulse dwell time by sorting the impulse sequence without the change of the calculation equations under different operating conditions. According to the running time, the PWM wave can be generated. The proposed method is simple and easy to implement. It has nearly the same performance as the space vector PWM strategy in the aspects of the bus current utilization ratio, the dynamic response, and the output current harmonics. And this method can be easily extended to multi-phase current source inverter. Simulation and experimental results have verified the effectiveness of the proposed method.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116583749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Steady State and Transient Analysis of a Grid Connected Large-Scale Solar Plant in IEEE 9-Bus Transmission Networks","authors":"Muhamad Najib Kamarudin, T. J. Hashim, N. A. Rahmat, R. Verayiah, A. Ramasamy","doi":"10.1109/ICoPESA54515.2022.9754453","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754453","url":null,"abstract":"With the increasing demand for alternative renewable resources penetration into the grid to mitigate the environmental issue caused by conventional generations, it is essential for the solar PV system to remain connected to the grid regardless of various loads and fault conditions. This paper investigates the impact of a grid connected large-scale solar (LSS) PV with different sizing connected to the IEEE 9 bus system. The LSS PV model in IEEE 9 bus system has been modelled using MATLAB/Simulink and is controlled by a three-phase inverter with LCL filter. The study focuses on the stability assessment performed using steady state load flow analysis under various load conditions while transient analysis looks into fault conditions. The system was subjected to various types of transient events like single phase fault, phase to phase fault, and three phase faults. The results obtained from the steady state analysis have shown that the sizing and placement of LSS PV can improve the voltage level in the overall system in various load conditions. On the other hand, the findings from the transient analysis for the worst-case scenario of three phase fault during base load condition shows the fault was cleared within the timeframe and the system are able to recover to normal operating conditions within 150 millisecond.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130261343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wind Speed Interval Prediction Model Based on Adaptive Decomposition and Parameter Optimization","authors":"Xue Kong, Leyi Yu, Zhi-jun Pan, Yagang Zhang","doi":"10.1109/ICoPESA54515.2022.9754440","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754440","url":null,"abstract":"Wind energy is a renewable and clean energy source, and it is one of the important ways to transform the energy structure and achieve sustainable development. The random fluctuation of wind speed greatly increases the risk of wind power integration. Therefore, achieving accurate wind speed prediction is the key to improve the efficiency of wind power utilization. In this paper, the three aspects of wind speed feature extraction, model parameter optimization and wind speed uncertainty prediction are improved to forecast wind speed. Firstly, using the complete ensemble empirical mode decomposition with adaptivenoise method to extract wind speed features; then, Combining ARMA model and neural network as prediction model, combined with the beetle antennae search optimization algorithm to realize the optimization of model parameters; lastly, the obtained error sequence is estimated by kernel density, and the corresponding interval prediction results are obtained according to the kernel density function quantile points and different confidence levels. The prediction results show that (1) the model obtained by the complete ensemble empirical mode decomposition with adaptivenoise method has less error and better stability than the traditional neural network prediction model; (2) the beetle antennae search optimization algorithm is used to change the initial weights of the model in order to avoid the model getting into local minimum, and the improved model has better prediction results; (3) the kernel density method is used to achieve the uncertainty prediction of wind speed. The Gaussian kernel function is used to fit the error probability density function, and the prediction interval established by the kernel density quantile almost covers the actual wind speed. The model proposed in this paper realizes the deterministic and uncertainty prediction of wind speed, which greatly improves the prediction accuracy and provides a basis on wind power dispatching for the power department.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128254530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Operation Control Strategy of the CSC-HVDC Transmission System Based on Current Reinjection Conversion","authors":"Wu Haitao, L. Yonghe, Wang Zhihe","doi":"10.1109/ICoPESA54515.2022.9754431","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754431","url":null,"abstract":"The thyristor multi-level current source converter based on the current reinjection conversion technology can realize the controlled shutdown of the thyristor under zero current condition, which provides a new idea for overcoming the shortcomings of the traditional LCC-HVDC system. The use of double-group multilevel converters can realize independent control of the amplitude and phase of the ac output current, thereby providing the possibility to realize the four-quadrant operation of the active and reactive power of the CSC-HVDC system. Based on this, this paper takes the point-to-point HVDC transmission system as the research object, derives the system mathematical model and establishes the control model. A complete digital simulation model of the CSC-HVDC transmission system is built on the PSCAD platform, and the simulation results show that the proposed control strategy can ensure that the system has excellent dynamic and static operating performance under normal and fault conditions of the power grid.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125477813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MPC Control of Three-Phase CSI in Unbalanced Grid","authors":"Yonghui Liu, Minghao Wang, Zhao Xu, Shuo Yan","doi":"10.1109/ICoPESA54515.2022.9754441","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754441","url":null,"abstract":"With the benefit of saving a stage of DC/DC converter and the electrolytic capacitors on the DC side of the inverter, the current source inverter (CSI) is attracting the focus as the interface between the PV power panel and the grid in recent years. This paper proposes a continuous control set-model predictive control (CCS-MPC) for a three-phase CSI in an unbalanced grid. In the proposed strategy, the current reference is calculated according to the power reference and grid voltage. Then the CCS-MPC is designed to track the current reference. To damp the oscillation of the filter, both inductor current and capacitor voltage are introduced into the cost function. The desired current vector is calculated by minimizing the cost function and is achieved by SVPWM. The proposed strategy enables the fast response of CSI without oscillation in both balanced and unbalanced grids. The effectiveness of the proposed strategy is verified by simulation results.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123021894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distribution Grid Fault Diagnostic Employing Hilbert-Huang Transform and Neural Networks","authors":"Khalid A. Alshumayri, M. Shafiullah","doi":"10.1109/ICoPESA54515.2022.9754475","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754475","url":null,"abstract":"Faults in distribution grids cause power interruption and economic losses. A crucial part of distribution grids protection systems is effectively diagnosing the fault to accelerate the power restoration process. This paper presents a fault diagnostic method for a distribution grid that consists of the Hilbert-Huang transform (HHT) and feedforward neural networks (FFNN). First, instantaneous amplitude (IA) and frequency (IF) are obtained from the HHT. Subsequently, statistical features are extracted from IA and IF plots and fetched to the FFNN for detection, classification, and location identification of different types of faults. The proposed approach is tested on a distribution grid modeled in MATLAB/SIMULINK platform. Obtained results demonstrate the effectiveness of the developed method for both noise-free and noisy data with the variation of pre-fault loading conditions, fault resistance, location, and inception angle.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126519385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Harmonic Current Suppression Method for Single-Phase PWM Rectifier Based on Feedback Linearization","authors":"Jingzhu Deng, Yeshuang Lei, Junhyuk Kang, Miao Yu","doi":"10.1109/ICoPESA54515.2022.9754411","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754411","url":null,"abstract":"This paper presents a harmonic current suppression method based on feedback linearization for single-phase voltage source pulse width modulation (PWM) rectifier, which can achieve fast dynamic response and low total harmonic distortion (THD). Starting from the state space model of single-phase PWM rectifier, by introducing feedback linearization method and by means of coordinate transformation and state feedback, a precise linearization model is attained and a feedback linearization based current controller is designed. Considering that the instantaneous power of the single-phase rectifier pulsates at twice the grid frequency, which results in a large number of harmonic currents, a notch filter is added in the voltage PI loop to reduce the second harmonic component of the inductor current amplitude reference. In addition, in order to further reduce the current harmonic, a sliding mode controller is designed for the inner loop. Finally, the simulation results prove the effectiveness of the proposed method.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133769559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on an Integrated Dual Mode DC Energy Metering Device and Metering Method","authors":"Jinghui Meng, Lei Song, Jingfen Bai, Wei Cen, Yongxian Duan, Chunguang Lu","doi":"10.1109/ICoPESA54515.2022.9754393","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754393","url":null,"abstract":"In order to solve the problem of high precision and convenient measurement in DC distribution network, this paper has studied the integrated dual mode DC power metering device and its measurement method. The integrated dual-mode DC energy metering device mainly adopted the logical architecture of \" MCU( Microcontroller Unit)+SOC( System-on -Chip)+ EM(Expansion Module)\" to design, and adopted the mode of \"mode setting + signal sampling + energy calculation\" to realize DC energy metering. The electrical parameters were directly transmitted to the metering module of the device through the internally installed transformer to realize energy metering. Besides, the metering function module was independent from other modules, so that the software of the non-metering function module can be upgraded online without affecting the normal operation of the metering function. According to the actual business requirements, the integrated dual-mode DC energy metering device supported two modes that which could flexible switch between ±375V bipolar metering mode and ±375V symmetrical monopole metering mode, can avoid the occurrence of a pole line failure leading to the unable to normal measurement, so as to further ensure the stability, accuracy and convenience of DC measurement. The integrated dual-mode DC energy metering device and its metering method has been tested and verified. The test results showed that its metering accuracy and functional performance can meet the requirements of GB/T 33708-2017 Static meter for direct current energy, and which can be applied into the DC distribution network business scenarios.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1035 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116269584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}