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2023 IEEE International Conference on Power Science and Technology (ICPST)最新文献

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Consider the Allocation of "Wind-Solar-Storage" Energy Storage Capacity in Carbon Emission Trading 考虑碳排放交易中“风能-太阳能-储能”储能容量的分配
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10164941
Guoying Liu, Chenxin Yu, Huirong Cao, Zhijian Liu, Xinyu Meng
{"title":"Consider the Allocation of \"Wind-Solar-Storage\" Energy Storage Capacity in Carbon Emission Trading","authors":"Guoying Liu, Chenxin Yu, Huirong Cao, Zhijian Liu, Xinyu Meng","doi":"10.1109/ICPST56889.2023.10164941","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10164941","url":null,"abstract":"Aiming at the fact that more and more carbon emission trading (CET) is included in the industry, an energy storage capacity planning model considering carbon emission trading is proposed. First, analyze the CET trading rules, and establish a carbon emission trading model that maximizes the profit of each power generation entity. Secondly, according to the construction cost and service life, the energy storage cost model allocated to the unit energy is established, and the maximum marginal benefit of the system is used as the objective function to optimize the energy storage capacity. Finally, energy storage is configured in an industrial park in the south. Through the analysis of energy storage capacity allocation in the CET market environment, the effectiveness of the model is verified from two aspects of economic and environmental benefits.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128160729","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}
引用次数: 0
Characteristic Analysis for Multi-Objective Optimization in Wireless Power Transfer System 无线电力传输系统多目标优化特性分析
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10165453
Qiang Bo, Mingzhi Fu, Xuhui Shen, Weiguo He, Meng Qin, Ruibin Zhao, Xingguang Jiang, Xiaojiang Guo
{"title":"Characteristic Analysis for Multi-Objective Optimization in Wireless Power Transfer System","authors":"Qiang Bo, Mingzhi Fu, Xuhui Shen, Weiguo He, Meng Qin, Ruibin Zhao, Xingguang Jiang, Xiaojiang Guo","doi":"10.1109/ICPST56889.2023.10165453","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10165453","url":null,"abstract":"For the optimal design problem of wireless power transfer (WPT) system, the conventional optimization method only optimizes for a single objective and cannot make multi-objective globally optimal in the feasible region. In this paper, firstly, the output power, transmission efficiency and capacitor voltage stress are taken as the optimization objectives, and the optimized variable is the compensation inductance value. Secondly, a linearity-weighted-sum function of multi-objective optimization method is proposed to achieve the global optimization of LCC-S WPT system, and the feasibility of this multi-objective optimization method is demonstrated by comparing with the traditional optimization method. Finally, a 1 kW WPT system for automated guided vehicle (AGV) was built to verify the validity of the proposed optimization method. Simulation and experimental results agree well with theoretical analysis, all switches realize ZVS within the entire power range which can realize the reliable operation for the system, and 93.3% efficiency from DC power source to battery load is achieved with k = 0.13.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126546812","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}
引用次数: 0
Dandelion Optimizer Algorithm Based Optimal Photovoltaic Array Reconfiguration under Partial Shading Condition 基于蒲公英优化算法的部分遮阳条件下光伏阵列最优重构
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10165434
Zhichun Yang, Fan Yang, Huaidong Min, Chengyi Hu, Yang Lei, Jinyang Li, Min Cai
{"title":"Dandelion Optimizer Algorithm Based Optimal Photovoltaic Array Reconfiguration under Partial Shading Condition","authors":"Zhichun Yang, Fan Yang, Huaidong Min, Chengyi Hu, Yang Lei, Jinyang Li, Min Cai","doi":"10.1109/ICPST56889.2023.10165434","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10165434","url":null,"abstract":"In this paper, a reconstruction method based on improved dandelion optimizer (DO) is proposed for the grid connection topology. The row current of the photovoltaic array is balanced by changing the electrical connection inside the photovoltaic array to evenly distribute the shadows on the photovoltaic array. In the four shadows of 10×10 PV array, DO and TCT algorithm are compared by mismatch loss. The results show that DO can effectively improve the output power of photovoltaic array, reduce the mismatch loss, the output PV curve tends to show a single peak, and the reconstruction results are better than TCT.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125115876","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}
引用次数: 0
A Multi-Domain Feature Fusion Method for Wind Turbine Bearing Fault Diagnosis 风电轴承故障诊断的多域特征融合方法
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10165041
Lu Yichen, Tan Zhenhao, Cao Shengxian
{"title":"A Multi-Domain Feature Fusion Method for Wind Turbine Bearing Fault Diagnosis","authors":"Lu Yichen, Tan Zhenhao, Cao Shengxian","doi":"10.1109/ICPST56889.2023.10165041","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10165041","url":null,"abstract":"The vibration signals of bearings in wind turbines contain crucial information for fault diagnosis. To more effectively extract the features of wind turbine bearing vibration signals for this purpose, this study proposes a bearing fault diagnosis method that leverages multi-domain feature fusion for feature extraction and deep modeling. To extract and fuse the features of time-domain signals, signal processing techniques such as Variational Mode Decomposition (VMD) and Fast Fourier Transform (FFT) are employed. The fused features are subsequently selected using Random Forest (RF) methods, and a Deep Belief Network (DBN) model is built for fault classification. The efficacy of the proposed method is evaluated using two different datasets, with results indicating a fault classification accuracy of more than 97.3%. This validates the method's effectiveness and generalization in diagnosing wind turbine bearing faults.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131906843","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}
引用次数: 0
Distributionally Robust Resilience Enhancement Model for the Power Distribution System Considering the Uncertainty of Natural Disasters 考虑自然灾害不确定性的配电系统分布式鲁棒恢复力增强模型
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10165500
Lin Yi, L. Meng, Wu Wei, Xue Jingwei, Sun Jiawei, Wang Zekai, Ding Tao
{"title":"Distributionally Robust Resilience Enhancement Model for the Power Distribution System Considering the Uncertainty of Natural Disasters","authors":"Lin Yi, L. Meng, Wu Wei, Xue Jingwei, Sun Jiawei, Wang Zekai, Ding Tao","doi":"10.1109/ICPST56889.2023.10165500","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10165500","url":null,"abstract":"Natural disasters with high risk and lower occurrence probability have attracted much more concern in recent years. In this paper, we proposed a distributionally robust resilience enhancement model for the distribution power system, in which the uncertainties of natural disasters are also taken into consideration. The ambiguity of the DRRM is constructed based on the branch outage probability, and the nested CCG algorithm is applied to solve the proposed model. The DRRM has been verified in the IEEE 33-bus distribution system. Case studies showed that the proposed model can reach a more effective and economic reinforcement strategy for the power distribution system.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130507846","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}
引用次数: 1
Optimal Capacity Allocation Method of Multi-types of Energy Storage for Wind Power Plant 风电场多类型储能容量最优分配方法
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10164938
An Haiyun, Li Wenbo, Jia Yuqiao
{"title":"Optimal Capacity Allocation Method of Multi-types of Energy Storage for Wind Power Plant","authors":"An Haiyun, Li Wenbo, Jia Yuqiao","doi":"10.1109/ICPST56889.2023.10164938","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10164938","url":null,"abstract":"In order to determine the installed capacity of the wind farm energy storage system and the power curve, an optimal capacity allocation algorithm for a multiple types of energy storage system consisting of lithium batteries, flywheels, supercapacitors is proposed according to the their complementary and operating characteristics. The algorithm can realize the consumption of wind power and minimize the economic cost. Firstly, a wind power model is constructed considering of wind power output fluctuation smoothing and wind power consumption, and the models and constraints of energy storage is established based on operational and economic characteristics. Secondly, the impact of different weighting factors on the capacity allocation results is analyzed and the better values of the weighting factors are identified. Finally, on this basis, considering the wind power consumption, economic cost, power compensation and load-peak difference, construct the objective function and find the optimal solution, and use the result to allocate the capacity of the multiple types of energy storage.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124683338","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}
引用次数: 0
Visible-Light Insulator Defect Detection Algorithm Based on Improved YOLOv4-Tiny 基于改进YOLOv4-Tiny的可见光绝缘子缺陷检测算法
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10165005
Jing Xie, Yaowen Du, Hong Yu, Zhijian Liu, Tianyi Wang, Zhihong Long
{"title":"Visible-Light Insulator Defect Detection Algorithm Based on Improved YOLOv4-Tiny","authors":"Jing Xie, Yaowen Du, Hong Yu, Zhijian Liu, Tianyi Wang, Zhihong Long","doi":"10.1109/ICPST56889.2023.10165005","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10165005","url":null,"abstract":"Insulator self-explosion defect detection plays a crucial role in the stable operation of power systems. In recent years, with the development of technology, deep learning-based object detection models have been widely used in power inspection work. To address the problems of redundant structure, large size, and slow detection speed of traditional object detection models, a lightweight insulator self-explosion defect detection algorithm based on YOLOv4-Tiny (You Only Look Once version 4-Tiny) is proposed. Firstly, the model training strategy of transfer learning is adopted to improve the model's generalization ability to the insulator dataset. Secondly, the SE attention module is introduced in the feature pyramid network to strengthen the model's feature extraction and fusion capability. Finally, a small target detection layer is added to enhance the model's ability to recognize small targets. Experimental results show that the average precision of the improved algorithm in this paper is 91.45%, which is 8.46% higher than the model using transfer learning. Additionally, the model size is 22.9MB, indicating that the model can achieve high detection accuracy for insulator and defect recognition, and the model's size is smaller than that of general object detection models, making it suitable for deployment on front-end devices to achieve real-time detection.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128395650","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}
引用次数: 0
Research on SPLL of Three-Phase PWM Rectifier Based on Improved DSOGI 基于改进DSOGI的三相PWM整流器SPLL研究
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10164970
Qian Xiaodong, Gao He
{"title":"Research on SPLL of Three-Phase PWM Rectifier Based on Improved DSOGI","authors":"Qian Xiaodong, Gao He","doi":"10.1109/ICPST56889.2023.10164970","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10164970","url":null,"abstract":"DSOGI(Double Second Order Generalized Integral play an important role in SPLL(Soft Phase Locked Loop) of three-phase PWM rectifier under three-phase unbalanced, large harmonic and DC component power grid. But it also can cause a large phase-locked frequency oscillation when the grid occurs frequency jump. In order to reduce the oscillation amplitude, the author proposed an improved DSOGI-SPLL which the FIR filters were inserted before integrators. The system was analyzed in frequency domain before and after improvement. Matlab/Simulink software was used to build model and validated this strategy. The results of theoretical analysis and simulation indicate that this strategy can not only retain the original functions of DSOGI-SPLL, but also reduce oscillation amplitude of the phase-locked frequency caused by grid frequency jump. At last, an experiment was built. The results of experiment indicate that the improved DSOGI-SPLL is effective, simple and practical.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131122067","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}
引用次数: 0
Optimal Allocation of Shared Energy Storage Based on Cooperative Game Theory 基于合作博弈论的共享储能优化分配
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10165550
Yajin Liu, Shaoli Duan, Zhijian Liu, Hang Dai, Zhihong Long, Yuxin Liao
{"title":"Optimal Allocation of Shared Energy Storage Based on Cooperative Game Theory","authors":"Yajin Liu, Shaoli Duan, Zhijian Liu, Hang Dai, Zhihong Long, Yuxin Liao","doi":"10.1109/ICPST56889.2023.10165550","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10165550","url":null,"abstract":"Energy storage plays an important role in the energy system , which is an important direction for the future development of the energy system, It is important to the consumption of renewable energy and the promotion of power development. However, the current price of energy storage is high, The optimal allocation of energy storage is not reasonable, and The load requirements of different typical users also vary resulting in lower profitability for users after investing in energy storage. Therefore, A cooperative game-based strategy for optimal allocation of shared energy storage in commercial areas, and simulates the shared energy storage business park, and the results verify that the proposed model can effectively improve the total income of the Business park, and the income scheme based on the Shapley value method is effective and feasible. While maximizing economic benefits, it also responds to national policies.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132134183","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}
引用次数: 0
A New Method of Data Fusion Calculation for Relay Protection Setting Calculation 继电保护整定计算中的数据融合计算新方法
2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI: 10.1109/ICPST56889.2023.10165188
Wang Xiaoyang, Li Zhongqing, Yu Yue, Yang Guosheng
{"title":"A New Method of Data Fusion Calculation for Relay Protection Setting Calculation","authors":"Wang Xiaoyang, Li Zhongqing, Yu Yue, Yang Guosheng","doi":"10.1109/ICPST56889.2023.10165188","DOIUrl":"https://doi.org/10.1109/ICPST56889.2023.10165188","url":null,"abstract":"With the increasing scale of the power grid and the increasingly close connection between power grids, the traditional regional data modeling based protection setting calculation method is facing huge challenges. A quasi real-time boundary fusion technology is urgently needed to seamlessly splice the setting calculation data of each region to form an integrated power grid data model to solve the network wide, high-precision, multi-mode relay protection fault analysis and setting calculation requirements, build a strong \"first line of defense\" for the power grid. Aiming at the problems faced by the relay protection setting calculation of large interconnected power grids, this paper proposes an automatic data fusion algorithm for setting calculation based on multi-agent technology, which effectively solves the problems of too many zone fusion data and ineffective fusion due to data differences, and verifies the effectiveness of the algorithm through examples.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114405308","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}
引用次数: 1
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