{"title":"Short-term PV Power Prediction Based on Data Mining and Multi-kernel SVM","authors":"Fengjie Sun, Aoyang Han, Mengyang Li, Xiaodong Zhu, Shuai Dong, Xuehui Jian","doi":"10.1109/CEECT53198.2021.9672325","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672325","url":null,"abstract":"With the rapid increase of the total installed capacity of photovoltaic (PV) power generation, more accurate PV power prediction is required to ensure the safe and stable operation of the power grid. In order to improve the prediction accuracy of PV power when only irradiance and PV power data can be obtained, while other multi-source data such as temperature, precipitation and other meteorological data, are unavailable, the paper proposes a PV power prediction model based on data mining and the multi-kernel support vector machine (SVM). Firstly, the wavelet threshold denoising method is used to denoise the data of irradiance and PV power which contains many burrs and the large signal fluctuation. Then, the parameters are extracted by irradiance and power characteristic representation, which include six irradiance characteristic parameters and two power characteristic parameters. With the characteristic parameters, the similar days are selected by the data mining technology, a clustering algorithm using SOM and K-Means. Finally, the multi-kernel SVM is used for PV power prediction, where the multi-kernel function is used to deal with the distribution characteristics of data and improve the accuracy of PV power prediction. The experimental results show that the prediction accuracy can be improved by the wavelet threshold denoising and multi-kernel SVM. The high precision PV prediction results can also be obtained with the irradiance and PV power data only, and the PV prediction accuracy of multi-kernel SVM is higher than that of the single-kernel SVM and classical back propagation (BP) neural network.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"102 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113987699","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":"Study on Design and Optimal Control of Long-distance Wireless Power Supply System Based on High-Voltage Lines","authors":"Hengdong Song, Yu Wang, Xiao Liu, Hai-long Wang, Xuelong Han, Zhijun Wu","doi":"10.1109/CEECT53198.2021.9672643","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672643","url":null,"abstract":"A long-distance wireless power supply system based on high-voltage lines is studied and designed in this paper. Based on the operating environment of the 500-kV high-voltage transmission line and the operating conditions of the monitoring equipment, combined with the working characteristics of the resonant structure, LCC-S is selected as the resonant topology. The influence of the coil radius and the number of turns on the transmission power and transmission efficiency i s a nalyzed by the method of simulation calculation. Considering the limitation of the resonant coil's turn-to-turn voltage on the system, the radius of the transmitting coil and the receiving coil are selected as 0.5m and 0.6m, the number of coil turns is 45 turns. The simulation results show that when the system is working with the above parameters, the load power of the system is 39.4W, and the transmission efficiency i s 5 9.4 %. Experimental results show that the wireless power supply system designed in this paper can operate stably under high-voltage line conditions.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133405857","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":"Dress Code Surveillance at Power Grid Construction Site via Object Detection","authors":"Chao-yu Wei, Xi Yang","doi":"10.1109/CEECT53198.2021.9672656","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672656","url":null,"abstract":"Constructions at the power grid working site have potential high risks if the construction rules are not well obeyed. The dress codes at the power grid working site are critical rules to protect the workers' safety. The most fundamental dress code for the workers to follow is to wear the uniform and helmet when entering the working site and wear the safety rope for the aerial operation. However, the negligence of workers or the lack of surveillance can lead to irregular dress situations and may further result in serious accidents. In this paper, with the help of deep learning technology, we proposed to establish a surveillance system for the dress code of power grid workers via object detection. Specifically, we borrow YOLOv5 as the backbone detection model. To detect the dress of the power grid workers, we construct a dataset that contains the common uniform, helmet, and safety belt to fine-tune the pre-trained YOLOv5 model. Experimental results verify the feasibility of our method to provide real-time surveillance of the workers' dress code on the power grid working site.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"42 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116393678","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":"Protection design of ship short-wave communication system in HEMP environment","authors":"Kaizhi Peng, Binbin Xu, Rui Fu, Xiaoling Liu","doi":"10.1109/CEECT53198.2021.9672621","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672621","url":null,"abstract":"Aiming at the problem of ship shortwave communication link degradation or damage caused by HEMP E1 pulse, this paper analyzes the coupling path and electromagnetic environment of the shortwave communication system under HEMP stress, establishes a vulnerable link coupling model, and simulates the interface coupling equivalent. Combined with the protection level of vulnerable modules, the vulnerable link protection module is designed. Finally, the performance of the protection module was simulated and tested. The test results show that the designed protection module can reach 35dB for EMP signal protection without affecting normal communication signals, which meets the short-wave vulnerable link invulnerability under HEMP environment.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127549890","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":"Topology Description Based Planning Method of Energy Station and Pipeline","authors":"Mi-Rong Wu, Jianfeng Huang, Xiuhua Ding, Yifeng Chen","doi":"10.1109/CEECT53198.2021.9672332","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672332","url":null,"abstract":"In order to scientifically determine the number and location of energy stations and the distribution of energy supply pipelines in regional integrated energy system, the planning method of energy stations and pipelines based on topology description is proposed. Firstly, based on the topological characteristics of regional integrated energy system, a topological description model of energy system is established. Secondly aimed to minimize the cost of initial construction and later operation, the layout planning model of energy station and energy supply pipeline is established. A hybrid mutation particle swarm optimization algorithm is used to solve this problem. Numerical experiment shows that the proposed method could obtain a more economical planning scheme.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115261705","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}
D. Schaab, Patrick Spanier, M. Ehlich, Erik Fosselmann
{"title":"Design Framework for Multiple Infeed DC-Microgrids in Industrial Applications","authors":"D. Schaab, Patrick Spanier, M. Ehlich, Erik Fosselmann","doi":"10.1109/CEECT53198.2021.9672633","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672633","url":null,"abstract":"Low voltage direct current microgrids (DC-MG) provide a solution for increased efficiency by the reduction of conversion losses, total reuse of recuperation energy and an increased share of local power generation. Especially industrial applications ask for high uptimes and a stable voltage supply, which are both at stake in a power grid dominated by renewable generation. DC-MGs overcome these drawbacks by balancing energy distribution and power demand locally. For the planning and design of these grids a systemic approach is needed, due to the fact that many components are interacting. The task arises of structuring the knowledge available for individual technologies in an overall design framework. For this purpose, current state-of-the-art design processes are discussed in this article. These processes are mapped into the context of the requirements in an industrial environment. The findings are transferred to the design of industrial DC networks. Finally, a complete design process for DC-MGs is derived, which is proposed as a basis for the development of tools.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121872817","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}