2022 5th International Conference on Renewable Energy and Power Engineering (REPE)最新文献

{"title":"Finite Element Model Modification Method of Transmission Tower Based on Static Test Results","authors":"Xiao Qingbiao, Luo Yinquan, Zhao Zhenhua, She Kai, Sun Jing, Jiang Wenqiang","doi":"10.1109/REPE55559.2022.9949091","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949091","url":null,"abstract":"The results of finite element model of transmission tower are inconsistent with those of test. In order to better reflect the actual mechanical properties of transmission towers, it is necessary to modify its finite element model. Compared with the dynamic modification method, the statics modification method has higher accuracy, but it is seldom studied because of the difficulty of obtaining experimental data. Based on static test of tower, this paper considers the influence of bolt connection slip on the axial stiffness of rods of tower, and proposes a static finite element model modification method based on BP neural network. According to the input parameters of the model, three different modified models are constructed. The results show that the model of taking displacement and strain as the input parameter, the difference between the results of the modified finite element model and the experimental measurement values are the smallest, and the correction effect is the best. And then the influence of different loading conditions on the model modification effect is analyzed. After a comprehensive analysis and discussion of the results, the model structure and model input parameters with the best modification effect are given. The modified finite element model can provide important reference for health monitoring and damage identification of transmission tower.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125289218","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 the Neutral Point Operation Mode and Fault Line Selection Strategy of Nuclear Power Plants","authors":"Wang Xiaobin","doi":"10.1109/REPE55559.2022.9949150","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949150","url":null,"abstract":"The auxiliary power of Chinese nuclear power plants is a medium-voltage system, and large cross-section cables are commonly used. Because of the high capacitance current, it is difficult to extinguish the arc when a single-phase ground fault occurs. The neutral point using resonant grounding method can inhibit arc reignition. The actual field operation shows that the arc suppression device has a long response time and the problem of difficult fault line selection. Firstly, this paper investigates the transient process of single-phase ground fault in auxiliary power systems. It is proposed to use delayed removal of series damping resistance to speed up the response speed. Secondly, this paper investigates the fault selection technology of the parallel resistance of the arc suppression device. It is proposed that reasonable selection of the resistance value of the parallel resistance can improve the fault line selection accuracy and suppress the residual fault current. Finally, the effectiveness and reliability of the above solution measures are verified by PSCAD simulation.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115912134","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":"Defect Identification of Power Line Insulator Based on an Improved yolov4-tiny Algorithm","authors":"Weidong Zan, Chaoyi Dong, Jian-gong Zhao, Fu Hao, Dongyang Lei, Zhiming Zhang","doi":"10.1109/REPE55559.2022.9949418","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949418","url":null,"abstract":"With the rapid development of artificial intelligence technology, the collection of power line images through unmanned aerial vehicles (UAV) and the further use of deep learning algorithms to automatically detect power insulator defects is gradually replacing the traditional manual inspection and identification methods. The image capture and machine recognition and learning has gradually become a kind of emerging automatic inspection methods of power line insulators. Aiming at the problems of small target size, complex background, and low defect recognition rate of insulator defects, this paper proposes an insulator defect detection method based on an improved yolov4-tiny deep learning algorithm (IYTDLA). Compared to the traditional yolov4-tiny deep learning algorithm (TYTDLA), the key improvement lies that a coordinate attention (CA) module is introduced after the major feature extraction network to enhance the network feature representation ability. First, based on the original UAV-collected image data sets, the improved algorithm is used to randomly scale captured images, and Gaussian noise is mixed to further enhance the data sets. Then, IYTDLA is applied to discern the two different defects “missing” and “broken” from the power line insulator images captured by UAVs. The experimental results show that the IYTDLA has a higher recognition accuracy than the TYTDLA. Compared to the mAP of TYTDLA, the mean average precision (mAP) of IYTDLA is increased by 0.94%, the average precision (AP) of missing insulator defects of IYTDLA is increased by 1.19%, the AP of insulator damage defects of IYTDLA is increased by 2.99%. At the same time, the performances of IYTDLA are also higher than those of traditional faster-rcnn (FRCNN) and efficientdet (EDET) in terms of recognition accuracy and processing speed. However, IYTDLA also has a processing speed comparable to the TYTDLA. That verifies that both of IYTDLA and TYTDLA are suitable for the deploy applications on mobile devices or embedded devices to implement device-side edge computing.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117335295","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 Blockchain based Federal Abnormal Detection Method for Power Dispatching Systems","authors":"J. Han, Dongdong Huo, Wenqian Zhang, Yazhe Wang","doi":"10.1109/REPE55559.2022.9949381","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949381","url":null,"abstract":"With the improvement of the network technology, power dispatching systems (PDS) are increasingly attacked from the Internet. Due to the limitations and regulations in laws and local management requirements, it is difficult for such systems to form a joint force to detect the security status while ensuring the privacy of each system's data. Aiming at this issue, this paper proposes a blockchain based federal abnormal detection method for power dispatching systems. The method provides a tree based federal-privacy-training scheme to aggregate data from various power scheduling systems, and generates a model with higher detection accuracy on the basis of not leaking the plaintext of these data. Moreover, the blockchain is used to connect dispatching systems across areas to enable the secure transfer of data between these systems. The experimental results show that this method not only improves the accuracy for detecting attacks, but also ensures the privacy of the data among PDSs.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123104901","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":"Small Disturbance Stability Analysis of Weak-Grid-Connected DFIG-Based Wind Power System","authors":"Haoyuan Jin, Yunfeng Yan, Donglian Qi","doi":"10.1109/REPE55559.2022.9949510","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949510","url":null,"abstract":"This paper is focused on the small disturbance stability of weak-grid-connected DFIG-based wind power systems. Firstly, the theory and structure of the system are expounded, and the complete mathematical model is deduced. Secondly, a reduced-order small signal model that disregards the mechanical component is created using the eigenvalue analysis approach as a foundation. The eigenvalues and correlation factors are then used to derive a categorical definition of the system oscillation modes. The eigenvalues and correlation factors are then used to derive a categorical definition of the system oscillation modes. Following that, based on the eigenvalue trajectory analysis, preliminary conclusions on the influence of the control parameters of the phase-locked loop (PLL), rotor-side converter (RSC), grid-side converter (GSC), and grid strength are obtained. Finally, the corresponding time-domain simulation model is created in MATLAB/Simulink. Finally, analyzing the active power waveform changes after disturbance confirms the correctness and accuracy of the theoretical conclusion.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130226751","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":"Data-Driven Turbine Modeling and Load Rejection Analysis","authors":"Xiaoping Jiang, Xuan Liu, Ziting Wang, Zhenye Xu, Chao Shi, Y. Zheng","doi":"10.1109/REPE55559.2022.9949073","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949073","url":null,"abstract":"The full characteristic model of hydraulic turbine must be considered in the research of control and transition process calculation of hydraulic turbine generator unit. In order to obtain the full characteristic model of hydraulic turbine, it is indispensable to reasonably extend the high-efficiency working condition characteristic area to the low-efficiency area according to the comprehensive characteristic curve. In this paper, BP(back propagation) neural network is used to process the comprehensive characteristic curve of hydraulic turbine to obtain the full characteristic model. In view of the defects of traditional BP neural network, such as slow convergence speed, long training time and easy oscillation in the learning process, BP neural network is improved. The improved BP neural network is used to train the model of flow and torque characteristics, and then the full characteristic model of hydraulic turbine is trained by using the value point to extend the flow and torque characteristic data. Experiments demonstrate that the full characteristic model established by the improved BP neural network algorithm has higher accuracy. Finally, the full characteristic model is used to calculate the load rejection transition process. The results demonstrate that the full characteristic model is suitable for the calculation of hydraulic turbine transition process and meets the requirements of engineering application.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"510 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116186803","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":"N - 1 Contingency Constrained Transmission Expansion Planning with Offshore Wind Farm Integration","authors":"Rui Xie, Ke Sun, Xiaonan Han, Haoyang Yu, Mingxuan Li","doi":"10.1109/REPE55559.2022.9949338","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949338","url":null,"abstract":"Offshore wind farm (OWF) has been developed rapidly worldwide as one of the promising renewable energy technologies. Transmission expansion and flexibility reformation of thermal power units may be necessary to accommodate wind power and maintain operational security. This paper proposes an optimization approach to jointly optimize the sites of OWF integration, the transmission expansion, and the flexibility reformation of thermal power units. In the planning model, the total investment cost is minimized under the requirements of wind power utilization and N-1 security. The problem is decomposed and solved by an iterative algorithm, which comes down to solving mixed-integer linear programming problems repeatedly with modified constraints. The case study based on the IEEE-30 bus system demonstrates the effectiveness of the proposed method.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130564245","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 Dynamic Operating Point Coordination Optimization Algorithm of Wind Farms","authors":"Qingguang Yu, Xiaoyu Li, Le Li, M. Guo, Leidong Yuan, Xiaotian Li, M. Zhao, Yi Sun","doi":"10.1109/REPE55559.2022.9949599","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949599","url":null,"abstract":"In the content of carbon peaking and carbon neutrality, the development and utilization of renewable energy have become major initiatives in China's energy development strategy. Wind power is one of the most valuable renewable energy sources. As the total installed capacity of wind power continues to increase and the proportion of wind power in the national energy generation continues to rise, the volatility and uncertainty of its power generation also bring new challenges to the power system. In this paper, we consider the optimization of wind power generation control strategy and parameters to improve the stability of the power grid and new energy consumption capacity. This paper proposes a genetic algorithm-based wind farm dynamic operating point coordination optimization algorithm to make the wind turbine operate at the operating point with minimum load, minimum operating cost, and maximum total power generation under normal external conditions, and also proposes a control strategy framework for wind farms under emergency/fast active command. In this paper, a wind farm with 16 wind turbines is built on MATLAB/Simulink to verify the feasibility of the algorithm verified by this model.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133954707","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":"Optimization of PSS4B Based on Hybrid Particle Swarm Optimization","authors":"Jian Wu, Yongshuai Cui, Zhihang Luo, Dianguo Xu","doi":"10.1109/REPE55559.2022.9949403","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949403","url":null,"abstract":"With the rapid development of power system, the power grid becomes more and more complex, which makes the system often appear low frequency oscillation. PSS is the most important measure to suppress low-frequency oscillations, but the single-branch PSS is difficult to meet the requirements of the current power system, most of the applications of PSS4B with superior performance to suppress low-frequency oscillations. In this paper, the mechanism of low frequency oscillation and common PSS model are introduced. Secondly, the hybrid particle swarm optimization algorithm with higher convergence accuracy is improved based on the basic particle swarm optimization algorithm. Finally, based on the infinite motor system, the simulation results of three systems without PSS, with PSS4B and optimized PSS4B were compared by setting different disturbances. The simulation results show that PSS4B parameter simulation optimized by hybrid particle swarm optimization algorithm can suppress the oscillation faster and enhance the stability of the system.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130742161","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 New Power System Planning Based on Improved Particle Group Algorithm","authors":"Zhanpeng Xu","doi":"10.1109/REPE55559.2022.9950023","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9950023","url":null,"abstract":"In the traditional sense, the dispatching objective function of power system can control the total fuel cost at the lowest level, but it does not consider the pollution substances composed of fossil fuels and their cost. Therefore, in the case of an increasingly strong demand for ecological and environmental protection, in view of the new energy planning and construction of power system scheduling scheme, emissions are regarded as the constraint condition of scheduling function, and a better variable search radius optimization multi-objective particle swarm optimization system model is constructed, and simulation analysis is conducted based on the new energy power system in a certain region. The final results show that the improved PSO is more effective than the traditional PSO.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115711568","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}