{"title":"A New Method and Comparative Study of HESS Power Distribution for Smoothing PV Output Fluctuations","authors":"W. Ma, Jiahui Guo, Jingyi Zhang, Yunchi Zhang","doi":"10.1109/ACPEE56931.2023.10135878","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135878","url":null,"abstract":"The output power of Photovoltaic (PV) generation system is random and fluctuating, and its power volatility can be smoothed by using hybrid energy storage system (HESS). In the study of HESS power distribution, wavelet transform needs to select wavelet basis, which lacks adaptivity, while the empirical modal decomposition (EMD) needs to add improvement and correction, increasing algorithm complexity. For the above situation, this paper apply empirical wavelet transform (EWT) to the HESS power distribution. By establishing the topology and control strategy of PV-HESS, the key problems for smoothing fluctuations are pointed out. After analysising the principle of wavelet transform, EMD and EWT, the adaptiveness of EWT in handling fluctuating PV output power signals is summarized. Combined with PV field data from Laiwu, Shandong Province, the results in MATLAB/Simulink show that EWT can decompose signal with adaptive layers without choosing the decomposition basis, avoid the modal mixing problem, meet the grid-connected target power requirements as well as the battery and supercapacitor working characteristics.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121828285","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}
Liang Guo, Dongbin Yu, Hongru He, Yuyin Zhan, Haifeng Li
{"title":"Fault Identification and Classification Method of Distribution Network with Distributed Generation Based on IHBF-CNN","authors":"Liang Guo, Dongbin Yu, Hongru He, Yuyin Zhan, Haifeng Li","doi":"10.1109/ACPEE56931.2023.10135889","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135889","url":null,"abstract":"When faults occur in distribution networks with distributed generation, the fault characteristics are different from those of traditional distribution networks, so high accuracy fault classification is essential fault analysis. Based on Improved Hilbert Bandpass Filter (IHBF) and Convolutional Neural Networks (CNN), a fault classification model for distribution networks with distributed generation is proposed. IHBF is used to convert the fault signal into an energy matrix of time-frequency, and then the CNN neural network is constructed to classify the faults. Considering various parameters such as fault resistance, fault section, system frequency, as well as changes in network topology and neutral grounding mode, the proposed method is compared with four existing distribution network fault classification methods. It shows that the method outperforms other methods in terms of epoch consumption and fault identification and classification accuracy, and is not affected by fault parameters, network structure and neutral grounding mode, which fully demonstrates its robustness and great accuracy in the identification and classification of fault, which is applicable for distribution networks containing distributed power sources.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"232 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124245687","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}
Jin-xing Xiao, Bingyan Xu, Ying Ye, Jun Yang, Yonghui Li, Peixiao Fan
{"title":"Multi-objective Control Strategy for Islanded Microgrid Based on Soft Actor Critic Algorithm","authors":"Jin-xing Xiao, Bingyan Xu, Ying Ye, Jun Yang, Yonghui Li, Peixiao Fan","doi":"10.1109/ACPEE56931.2023.10135792","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135792","url":null,"abstract":"Aiming at the frequency instability and the increase of control cost caused by the uncertainty of the island microgrid, this paper proposes a multi-objective control strategy for the island microgrid based on the Soft Actor Critic (SAC) algorithm. Firstly, considering the influence of the output distribution of micro gas turbines on the control cost, a multi-objective control model that coordinates control cost and frequency stability is constructed. Secondly, in order to cope with the sparse reward task of multi-objective control, this paper takes the frequency deviation and control cost as the state set, takes the unit output as the action set, and designs the corresponding reward function, thus completing the process design of the multi-objective control strategy. Finally, the calculation example shows that the SAC controller can effectively reduce the control cost on the premise of ensuring the frequency regulation requirements of the microgrid, and the comprehensive control effect is far superior to traditional control methods such as PI control and fuzzy control.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116664801","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":"Secondary Equipment Evaluation Based on Multi-Parameter Model for Smart Substation","authors":"Bing Ma, Nin Wu, Xingyi Zheng, Yuting Wang","doi":"10.1109/ACPEE56931.2023.10135828","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135828","url":null,"abstract":"In order to cope with the establishment and practical engineering application of secondary equipment evaluation system for smart substation, the comprehensive evaluation model of secondary equipment which relies on multi-parameter information is introduced. The proposed TOPSIS-based evaluation items, evaluation parameters and evaluation methods are used to evaluate the status of different kinds of secondary equipment. On the basis of various alarm information, telemetry data, remote signal status and other multi-dimensional parameters in process layer, interval layer and station control layer, the status evaluation system of secondary equipment is established to realize monitoring and early warning of normal status and identification and diagnosis of abnormal status.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116710366","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}
Liu Shuangxi, Zhang Meng, Liu Andi, Pan Xiao, Liu Yiheng, Feng Renhai
{"title":"Fault Feature Recognition of Electric Vehicle Charging Infrastructure","authors":"Liu Shuangxi, Zhang Meng, Liu Andi, Pan Xiao, Liu Yiheng, Feng Renhai","doi":"10.1109/ACPEE56931.2023.10135690","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135690","url":null,"abstract":"With the rapid development of electric vehicles, vehicle charging infrastructure, an essential device for fast charging process, plays an important role in connecting vehicles to charge supply. Due to short time of application, it takes time and effort to diagnose faults and repair devices, so it is necessary to build a whole theory and do technical research in this area. More importantly, it is required to establish a fault diagnosis knowledge base and set up an expert system to improve diagnose efficiency. To this end, the expert system could assist maintenance personnel to recognize the fault feature quickly and accurately. Further, this paper proposes a fault-tree based analysis method, which contains the build process, qualitative analysis and quantitative analysis. Then we apply the aforementioned results into the expert system which is specifically realized via ACCESS database. Simulation results show that the proposed system meets the functional requirements of direct current (DC) charging infrastructure fault diagnosis. Future work will focus on fault prediction by monitoring operating status and obtaining performance evaluation based on sensors.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117235755","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}
Guo Honglin, Zheng Yan, Yu Hailong, Cui Shu, Wang Qi, Yuan Jingwei, Wu Yanfeng, Cong Qian
{"title":"Multidimensional Intelligent Control System for Transmission Lines","authors":"Guo Honglin, Zheng Yan, Yu Hailong, Cui Shu, Wang Qi, Yuan Jingwei, Wu Yanfeng, Cong Qian","doi":"10.1109/ACPEE56931.2023.10135964","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135964","url":null,"abstract":"With the increase of urban construction, the transmission line operation environment is becoming more and more complex, corresponding to the continuous improvement of social requirements for power supply quality and reliability, and the traditional maintenance methods is over-dependent on personnel. In order to solve the outstanding problems of traditional transmission line monitoring system such as single monitoring mode, low intelligence and insufficient channel utilization, image intelligent recognition algorithm and edge computing strategy are proposed in this paper. On this basis, data integration and product networking are realized, and a multidimensional intelligent control system for transmission lines is built to improve the quality and efficiency of intelligent inspection of transmission lines. At last, engineering practice applications show that when the intelligent monitoring devices apply the edge computing algorithm to detect the hidden dangers in the data, it will take the initiative to alarm and upload it, so as to relieve the network pressure of the communication and realize the function of multidimensional intelligent control system for transmission lines.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124885237","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 Review of Research on New Power System under Typhoon Disaster","authors":"Ruizeng Wei, Huan He, Lei Wang","doi":"10.1109/ACPEE56931.2023.10135630","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135630","url":null,"abstract":"The integration of distributed generation(DG) into the power system has changed the original structure of the power system. In order to ensure the safe and stable operation of the new power system, further studies need to be made. First of all, this paper mainly reviews the research on the pre-disaster technology of the existing power system to cope with typhoon disasters. Then, according to different factors, the damage prediction is divided into the damage prediction considering disaster environment, the damage prediction considering disaster uncertainty, and the power failure prediction for the user area. In addition, this paper also summarizes the application of various traditional algorithms optimization algorithms and machine learning in the field of power system. Finally, by analyzing the shortcomings of the existing research, several optimization directions for the future new power system to cope with typhoon disasters are summarized.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125092641","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}
Yichuan Shi, B. Wen, Hengxuan Li, Yongxin Chen, Jie Teng
{"title":"Research on Sensitivity Analysis Method of Action Behavior about Security and Stability Control System","authors":"Yichuan Shi, B. Wen, Hengxuan Li, Yongxin Chen, Jie Teng","doi":"10.1109/ACPEE56931.2023.10135606","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135606","url":null,"abstract":"With the sustaining expansion of power grid and the increasingly complex operation mode, the safe and stable operation of power system is becoming more and more important. Security and stability control system(SSCS) is the second-defence-line of power system, its action and behavior results directly affect whether the power system can maintain safe and stable operation under the condition of failure. This paper studies the sensitivity evaluation method of the action behavior of SSCS. Firstly, the sensitive factors affecting the action behavior of SSCS are introduced. Secondly, the sensitivity analysis method based on the grey relational degree is introduced.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125159551","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":"Networking Technology of Plug-and-Play Multi-DT in Distribution IoT","authors":"Xiangguo Liu, Yanqing Ma, Leijiao Ge, Hangxu Liu, Yunxing Gao, Jianhua Shang","doi":"10.1109/ACPEE56931.2023.10135696","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135696","url":null,"abstract":"The distribution Internet of Things (IoT) has realized the integration of heterogeneous devices and heterogeneous information. However, due to the difficult operation and maintenance by the diverse equipment, the existing research on the networking technology of multiple distribution terminals (DT) is less involved in optimizing the communication technology to improve the economy and communication reliability of networking. And the plug-and-play technology of distribution IoT equipment can effectively solve the engineering problems such as complex types of distribution equipment, long installation time, and large maintenance workload. It has broad application prospects. Therefore, this paper proposes a plug-and-play multi-DT networking technology for distribution IoT. Firstly, a multi-DT networking architecture based on IEC61850 standard is proposed; A multi-dimensional evaluation model and optimization technology are proposed to deal with the communication protocol difference of mass devices; Based on the above technical support, the multi-DT automatic networking technology of the distribution network of things is constructed. Finally, taking the 35kV distribution network in the Taishan District, Tai'an, China, as an example, the proposed method is verified to prove its effectiveness, to provide reference for the construction of the distribution IoT.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123675420","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}
Qingquan Ye, Xuguang Wu, Liyuan Chen, Xingda Wen, Qi Lin, Yizhi Shi, Hongru Liu
{"title":"Optimal Scheduling of Wind-Photovoltaic-Energy Storage System Based on Deep Deterministic Policy Gradient Algorithm","authors":"Qingquan Ye, Xuguang Wu, Liyuan Chen, Xingda Wen, Qi Lin, Yizhi Shi, Hongru Liu","doi":"10.1109/ACPEE56931.2023.10135686","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135686","url":null,"abstract":"As the ratio of renewable energy sources increases in the grid, the randomness and intermittency caused by weather and other factors pose a great challenge to the optimal dispatch of the grid. In this paper, a wind-photovoltaic-energy storage system (WPESS) optimal scheduling model based on deep deterministic policy gradient (DDPG) algorithm is proposed. And the optimal policy is obtained by continuous learning through the interaction between the agent and the system. Firstly, the optimal scheduling model of WPESS is introduced. Secondly, the optimal scheduling process is transformed into a Markov decision process. And a real-time reward function is set to replace the objective function and equipment constraints. Finally, the validity of the model and algorithm proposed is verified based on the analysis of a case, and the effects of different parameter settings on the convergence of the algorithm are compared.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123683154","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}