Qi Weizhi, Che Jianfeng, Xiong Yuhan, Huo Xuesong, Hao Yuchen, Dai Qiangsheng
{"title":"Wind Power Ramp Event Identification Based on Parameter Adaptive Swinging Door Algorithm","authors":"Qi Weizhi, Che Jianfeng, Xiong Yuhan, Huo Xuesong, Hao Yuchen, Dai Qiangsheng","doi":"10.1109/ICoPESA56898.2023.10141094","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141094","url":null,"abstract":"Accurate identification of wind power ramp event is of great significance for the safe and stable operation of power grid. In order to improve the accuracy of real wind power ramp event recognition, this paper proposed a method based on parameter adaptive swinging door algorithm. First, the original power data is preprocessing to remove the unreasonable data and reduce the impact of noise. Then, the parameter adaptive swinging door algorithm is proposed to compress data while retaining the power fluctuation trend. Finally, the wind power ramp event is identified according to the selected definition and condition. The case analysis shows that, compared with the swinging door algorithm, parameter adaptive swinging door algorithm proposed in this paper can identify more real wind ramp events, the increasing of detection rate can up to 22.04%.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115263079","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":"Energy Consumption Prediction Model of Wastewater Treatment Plant Based on Stochastic Configuration Networks","authors":"Cheng Bowen, Huang Liang, Li Xinyu","doi":"10.1109/ICoPESA56898.2023.10140350","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10140350","url":null,"abstract":"In the face of increasingly scarce fresh water resources, the treatment of urban sewage has become an important resource conservation. Sewage treatment is a high power consumption industry, the effective prediction of power consumption has a far-reaching impact on the energy saving optimization of sewage treatment plant. Aiming at the problems of uneconomic scale allocation, insufficient load rate and excessive energy consumption of current sewage treatment facilities in China, this paper establishes an energy consumption prediction model for sewage treatment plants based on Stochastic Configuration Networks. In order to verify the effectiveness of the method, the modeling and simulation were completed with the help of MATLAB software, Stochastic Configuration Networks model is trained until the best accuracy is achieved. Stochastic Configuration Networks is compared with BP neural network modeling method. It is found that the prediction error of the residential energy consumption prediction model is small, which has important value for policy makers in planning new sewage treatment plants and making management plans to improve the energy efficiency of sewage treatment.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115567701","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":"Static Voltage Stability Assessment Considering The Impact of Active Distribution Networks","authors":"Weijia Li, Wen Zhang, Yuxin Xie","doi":"10.1109/ICoPESA56898.2023.10140569","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10140569","url":null,"abstract":"With the distributed photovoltaic (PV) connected to the distribution network, the traditional passive distribution network is transformed into active distribution network (ADN). The need arises to access the impact of ADNs on the voltage stability of transmission networks. This work provides a detailed continuation power flow methodology to evaluate the influence of ADNs on static voltage stability margin of transmission networks. The potential of ADNs to improve the static voltage stability margin is also analysed by adjusting the operating state of PVs. The ADNs can regulate the active and reactive power output of PVs in ADNs to obtain the ADNs operating states which are conducive to the static voltage stability margin of the system. Simulations are carried out on the revised IEEE 9-bus system with three ADNs. The simulating results prove that a larger static voltage stability margin can be obtained by adjusting the photovoltaics output in ADNs.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126730147","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}
Dongzhi Cao, L. Yao, S. Liao, Jian Xu, B. Mao, Boyu Xie
{"title":"A Coordinated Control Strategy of Flywheel-Battery Hybrid Energy Storage System for Participating in Grid Frequency Regulation","authors":"Dongzhi Cao, L. Yao, S. Liao, Jian Xu, B. Mao, Boyu Xie","doi":"10.1109/ICoPESA56898.2023.10141096","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141096","url":null,"abstract":"High penetration of renewable energy in the power grid brings many technical challenges to grid security operation and stability control such as grid frequency regulation, due to the intermittence and fluctuation of renewable energy sources. Flywheel-battery hybrid energy storage system (HESS), which has the advantage of combining power-type energy storage with energy-type energy storage, has the characteristic of high-energy density and high-power density, and is therefore capable of providing the grid frequency regulation support. Based on the model of flywheel-battery HESS, a coordinated control strategy for grid frequency regulation is proposed in this paper. A group of proportional coefficients, which are modified in real time according to the deviation and the rate of change of frequency, are used to adjust the output active power of each energy storage system in different stages of dynamic frequency regulation. The virtual inertia method and the virtual droop method, whose control coefficients are modified based on the state of charge, are used to control flywheel energy storage (FESS) and battery energy storage (BESS), respectively. The proposed control strategy can comprehensively utilize the advantage of two types of energy storage systems, realize BESS and FESS coordinatively participating in frequency regulation and improve the frequency regulation performance of HESS. The simulation results based on the PSCAD software verify the feasibility and effectiveness of the proposed control strategy for grid frequency regulation.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114755897","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":"Autonomous Diagnosis Method for Defects of Cable Accessories Based on YOLOv3 and Mean-Shift Algorithm by Infrared Images","authors":"Yuru Cai, Jing Zhang, Chuanxian Luo, Xinliang Xing, Mengqi Li, Nian Wu","doi":"10.1109/ICoPESA56898.2023.10141406","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141406","url":null,"abstract":"In daily inspection, infrared images are often used to measure the temperature of cable accessories. However, in the face of a large number of inspection images, traditional manual diagnosis is time-consuming and laborious, and relies too much on manual experience. Therefore, an automated infrared infrared image diagnosis method for cable accessory defects based on YOLOv3 and Mean Shift is proposed. Firstly, the method takes YOLOv3 as the basic model, and adds Mosaic technology to the input to enhance the training effect of the model, realize the recognition and positioning of diagnostic targets, and eliminate the impact of complex background images and non diagnostic foreground images on subsequent processing. Then the Mean Shift clustering algorithm is used to segment the image for the diagnosis object, so as to extract the overheated area quickly and accurately. Finally, the temperature information of overheated area and non overheated area is extracted, and the status diagnosis of cable accessories is realized according to the corresponding diagnostic criteria. The research has certain reference value for the defect diagnosis of cable accessories in practical projects.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121642472","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 Generalized Extended State Observer-Based Frequency Controller of VSC-HVDC Systems","authors":"N. Yi, Weiyu Wang, Yijia Cao","doi":"10.1109/ICoPESA56898.2023.10140970","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10140970","url":null,"abstract":"High penetration of electronics in power systems reduce the equivalent grid inertia, which poses a significant challenge on the frequency stability of power systems. In this paper, a generalized extended state observer-based frequency controller (GESOFC) is proposed for voltage source converter (VSC) based high voltage direct current systems (HVDC) to provide frequency support to low-inertia grids. The inverter station and the adjacent ac grid are considered to be the integrated control plant, and the power deficiency caused by load change or outage of generators is treated as an external disturbance to the control plant. An extended state is defined to represent the power deficiency of the ac grid, and a generalized extended state observer (GESO) is designed to estimate the power deficiency and the system state variables of the control plant, which can be further leveraged to formulate the linear quadratic regulator (LQR) based feedback control for achieving the optimal frequency regulation. The effectiveness of the proposed GESOFC is validated by MATLAB.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121735065","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":"Renewable Energy Credible Capacity Evaluation Method Based on EFC","authors":"Wenjuan Niu, Guiyuan Xue, Chen Chen, Yin Wu, Xiaojun Zhu","doi":"10.1109/ICoPESA56898.2023.10141155","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141155","url":null,"abstract":"The capacity value of renewable energy is generally represented by credible capacity and capacity credit. At the planning level, capacity credit represents the capacity support capacity of renewable energy power generation to peak load. In this paper, renewable energy credible capacity evaluation method based on EFC is proposed. Obtain the probability of loss of loading the system through the EFC method and convolution method, and then comput the capacity credit of the renewable energy through iteration. The results show that compared with other methods, the proposed methods can ensure the calculation accuracy and meet the needs of actual engineering calculation. Additional research was carried out using the proposed model, including evaluation of renewable energy credible capacity of historical data of a provincial power grid and he influencing factors of different methods are studied.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123333953","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":"Deviation Analysis of Impulse Grounding Resistance Based on Impulse Coefficient","authors":"Hongtao Ren, Ying Zhang","doi":"10.1109/ICoPESA56898.2023.10141344","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141344","url":null,"abstract":"Based on the impulse coefficient stipulated by the current national standards, this paper calculates the influence of impulse current amplitude, grounding device geometric size and soil resistivity on impulse ground resistance through simulation, and analyzes the reasons, and draws the following conclusions: the larger impulse current amplitude, the closer the impact coefficient is to the standard value; as the size of the grounding grid changes, the impact grounding resistance changes significantly, the larger the grounding grid, the longer the ray length and the smaller the impact resistance; as the soil resistivity increases, the same grounding grid under other conditions unchanged, the impact grounding resistance value will increase significantly, but the impact coefficient will decrease. When reducing the grounding resistance under the condition of high soil resistivity, we cannot blindly increase the size of the grounding body. Although the power frequency grounding resistance can be effectively reduced, the impact coefficient cannot be reduced to the standard requirements. The research has important guiding significance for the design of grounding devices for poles and towers in high soil resistivity areas.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130172822","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":"Comprehensive Treatment of Power Quality of Ladle Refining Furnace Power Distribution System","authors":"Li Jun, Song Fengsheng, Chen Lezhu","doi":"10.1109/ICoPESA56898.2023.10141303","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141303","url":null,"abstract":"In recent years, the refining furnace has been used more and more widely in the steel industry due to the increasingly high requirements for steel quality. However, the power quality problems caused by its operation will not only affect the product quality, but also pollute the power grid This paper analyzes the harmonic current, voltage fluctuation, voltage flicker, low power factor and other power quality problems caused by the operation of the ladle refining furnace to the power grid, proposes a hybrid compensation scheme of SVG+FC, designs and calculates the compensation capacity of SVG and FC, and finally verifies the effectiveness of the hybrid compensation in the practical application in the steel plant.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125356187","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}
Zheng Tongyi, Chen Liming, Zhao Yuming, Wang Tao, Wang Jing, Zhong Han
{"title":"Low-Power CoAP for Data Uploads in Next-Generation Power Systems","authors":"Zheng Tongyi, Chen Liming, Zhao Yuming, Wang Tao, Wang Jing, Zhong Han","doi":"10.1109/ICoPESA56898.2023.10140206","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10140206","url":null,"abstract":"To address the complex communication scenarios of intelligent terminals in the new power system, the concept of zero-power communication and Internet of Things (IoT) protocols are introduced. In this paper, the original message model of the CoAP protocol is optimized, and the developed message transmission model is proven through experiments to reduce the power consumption of terminal devices during the ACK acknowledgement process, while maintaining a high request success rate under various packet loss conditions. This model shows the potential for use in data reporting applications in modern power systems.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124716897","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}