{"title":"Research on the Cost Prediction Method of Overhead Line Technical Transformation Project Based on Particle Group Algorithm","authors":"Yabo Shen, Gaosheng Rong, Qidan Xu, N. Li","doi":"10.1109/IFEEA57288.2022.10038073","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038073","url":null,"abstract":"Overhead transmission line is an important part of the power grid system. In the face of the increasingly strict national policy and supervision situation, it is one of the important measures to strengthen the cost control level of overhead line technical transformation project to improve the quality and efficiency of power grid enterprises. Based on the analysis of the factors affecting the engineering cost, the project cost prediction model based on the particle group algorithm is constructed, and the effectiveness of the model is verified by empirical analysis. This method model can provide reference and reference for further improving the cost control level of power grid enterprises.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115140016","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":"Typical Method of Failure Analyze and Troubleshooting of Secondary Circuit of 220kV Line Protection","authors":"Yunyun Yang, Guangming Jin, Cheng Cheng, Mengmei Zhu, Xia Meng, Qian Peng","doi":"10.1109/IFEEA57288.2022.10037968","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037968","url":null,"abstract":"Taking an accident in a 220kV substation caused by the wrong wiring between the current transformer and the line protection device as an example, the simulation test is analyzed and the solution is proposed. By analyzing the fault characteristics of “symmetrical current in operation” and “asymmetrical current in maintenance”, the fault phenomena, fault types and solutions are corresponded one by one, which provides reference for the maintenance and maintenance of the 220kV line protection current circuit.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125010395","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}
Xuesen Zhang, Qingbei Guo, Xiaoxiao Ma, Zhe Du, Shuang Sun, Desheng Bai
{"title":"Research on blockchain consensus algorithm for large-scale high-concurrency power transactions","authors":"Xuesen Zhang, Qingbei Guo, Xiaoxiao Ma, Zhe Du, Shuang Sun, Desheng Bai","doi":"10.1109/IFEEA57288.2022.10037907","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037907","url":null,"abstract":"At present, the application model and business model of the blockchain are still being explored. How to better integrate the blockchain technology into the power transaction business scenario to improve the quality and efficiency needs to be further explored in combination with the specific business development needs. In view of the large scale of market entities and high transaction processing capabilities in the large-scale and high-concurrency power transaction business scenario, this paper studies the parallel processing technology of blockchain transactions, realizes the parallel processing of transactions, and supports the parallel reading and writing capabilities of tens of thousands of entities. Research on the blockchain consensus algorithm suitable for power trading business can shorten the transaction consensus and execution time, and ensure that the consensus mechanism meets the concurrency requirements of business responsiveness and performance requirements.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125069396","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 Novel Temporal Convolutional Network for NLOS Identification of UWB Signal","authors":"Peiqin Li, Yuhao Yan, Yifan Tan, Haowen Wang","doi":"10.1109/IFEEA57288.2022.10037825","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037825","url":null,"abstract":"The accurate identification of Non-line of Sight (NLOS) propagation is an important premise to ensure the positioning accuracy in UWB indoor positioning system. In this paper, a network which takes the channel impulse response (CIR) as the input and combines the temporal convolutional network (TCN) and attention mechanism is proposed to identify the NLOS propagation. Experiments on the open source dataset show that the identification accuracy of the network reaches 89.80%, which is better than the existing mainstream long short-term memory neural network. Also, the accuracy and computational amount of the network can be balanced by adjustment of CIR length according to the needs in practical application, indicating that the network has a good application prospect.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115257691","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 Electromagnetic Vibration Energy Harvester for Casing of Transformers","authors":"Liangyuan Chen, K. Zhou, Da-jian Li, Jian Zhao","doi":"10.1109/IFEEA57288.2022.10038208","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038208","url":null,"abstract":"In the daily inspection of the existing power system, a series of parameters such as temperature, pressure, flow rate, magnetic field and so on need to be obtained in time to ensure the safety and stability of the system. Therefore, the stable operation of the power sensor needs to be ensured. However, the energy problem is one of the key issues in the sensor, this article puts forward a kind of electromagnetic vibration energy harvester for transformer casing, and establishes the three-dimensional structural mechanics model of the device and magnetic field two axisymmetric model through the simulation software. Finally, the effective value of the output voltage of the device is 3.9V and the output power is 14.45mW, which verifies the feasibility of the design and research. The device has the advantages of simple structure, compact size, simplicity, economy and universality, which is conducive to the development of intelligent integrated monitoring system of transformer operation status, and improves the transformer operation level to a certain extent.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115530314","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":"Thermal Recovery and Utilization of Coal Gangue Mountain Based on Semiconductor Thermoelectric Technology","authors":"H. Peng, Yiwen Song","doi":"10.1109/IFEEA57288.2022.10038033","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038033","url":null,"abstract":"Large-scale spontaneous combustion often occurs in coal gangue hills, resulting in a large amount of heat waste. This paper provides a solution: using the gravity heat pipe heat transfer technology to extract the heat energy in the high temperature area, and according to the thermoelectric power generation technology to convert heat energy into electrical energy to transport to electrical equipment, to achieve the purpose of energy recovery and utilization. In this paper, the ANSYS Workbench software is used to model and analyze the thermoelectric generator, and it is found that the temperature difference is an important factor affecting the overall output power of the device. In order to improve the output power of the device, the experimental platform was built to simulate the spontaneous combustion heating process of coal gangue, and the optimization was carried out from three aspects: the arrangement interval of heat pipe, the setting of cooling water flow and the number of thermoelectric generators in series. The experimental results show that when a heat pipe is arranged at intervals of15 cm and the cooling water flow is set to 2.1 kg/min, the temperature difference between the two ends of the thermoelectric generator can be maintained to the maximum. After optimization, when the temperature difference between the cold and hot ends of the thermoelectric generator is maintained at 200°C, the maximum output power of the thermoelectric generator can reach 35 W. It can be verified that the device has practical value and broad development space.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"369 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116539187","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":"Market power monitoring method of electricity sales company based on entropy weight method","authors":"Hongpeng Qi, Rong Zheng, Zhe Lin, YunWang Hu, ShengSheng Liang, JianRong Qin","doi":"10.1109/IFEEA57288.2022.10038274","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038274","url":null,"abstract":"With the further opening of the electricity retail market, the market power monitoring in the retail market operation and management mechanism needs to be improved and supplemented for creating a benign operating market operation environment. By systematically classifying the types of market power, and then combining the market power behaviours with SCP analysis method to develop market power monitoring indicators and assigning weights to the indicators based on the entropy weighting method and through specific examples, verifying the effectiveness of the monitoring method, which could provide some reference for market operators to manage the retail market.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122530383","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 and Implementation of Trusted WLAN Communication for Distributed Generation","authors":"Chao Yuan, Xiuzhen Jiang, Ti Guan, Hengjie Liu, Ziqi Zhao, Zhiyong Lv, Lianzhen Zheng","doi":"10.1109/IFEEA57288.2022.10037829","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037829","url":null,"abstract":"The application of distributed generation (DG) develops rapidly, but a large number of DGs do not have the ability to communicate with power dispatch center, which brings great trouble to power grid regulation. This paper analyzes the demand of power dispatch for distributed generation communication, as well as the shortcomings of existing communication modes, and studies the characteristics of Trusted WLAN technology with its advantages in distributed generation communication. Then it designs the first new power system demonstration area based on “Trusted WLAN+5G” communication technology in Laiwu, China, and put it into operation in 2022, and realizes the “observable, measurable, adjustable and controllable” distributed generation. The feasibility and advantages of Trusted WLAN technology in distributed generation communication is verified.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128592131","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}
Jie Ma, Jinfeng Wang, Haifeng Zheng, Min Cao, Yuelong Jia, Yuzhuo Zhang, Z. Ren, Xiaochen Sun
{"title":"Study on Shapley method-based benefit allocation models for electric vehicle participation in demand response","authors":"Jie Ma, Jinfeng Wang, Haifeng Zheng, Min Cao, Yuelong Jia, Yuzhuo Zhang, Z. Ren, Xiaochen Sun","doi":"10.1109/IFEEA57288.2022.10038018","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038018","url":null,"abstract":"In recent years, China’s electricity supply and demand situation has become increasingly tight and demand response needs to be further developed in China in order to secure electricity supply. As the number of electric vehicles in China is gradually increasing, the ability of electric vehicles to participate in demand response is also expanding, however, a benefit allocation model for electric vehicle participation in demand response in the Chinese environment has not yet been developed. This paper first analyzes the current business model of EV participation in demand response in China, and then proposes two benefit allocation model based on the Shapley method, in addition, the effectiveness of two models is investigated.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129016034","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 robustness technology of power equipment image recognition algorithm model in confrontation scenario","authors":"Xiangzhou Chen, Xiaoyan Li","doi":"10.1109/IFEEA57288.2022.10038134","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038134","url":null,"abstract":"In the process of controlling the traditional identification means, it is difficult to meet the current three-dimensional transmission inspection requirements. Therefore, transmission line inspection combined with artificial intelligence has gradually come into people’s vision. At present, there are some explorations in the performance, stability, robustness and use value of the model. However, the exploration of the security performance of the model in the current relevant literature often occurs in the defense and structure of different samples, and the robustness evaluation content is not reasonably standardized. Aiming at the power inspection scenario of power grid application, this paper integrates the artificial intelligence model evaluation indicators in academia and the model evaluation system in the specific scenario of industry, designs customized evaluation indicators in combination with the power scenario, focuses on the robustness indicators of power grid power inspection, and studies the countermeasure sample generation technology of power image. The generated countermeasure samples will effectively simulate the attacker’s intention, and propose effective countermeasure algorithm measurement indicators; For the evaluation of the robustness against various hacker and organizational attacks, an artificial intelligence model robustness evaluation system is formed, which can effectively support the high-quality development of big data artificial intelligence platform and promote the safe, effective, reliable and stable operation of artificial intelligence models in power scenarios.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124777831","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}