Bo Wang, Shixiao Li, Wenyou Qian, Ruining Jin, Jianqiang Liu
{"title":"Design of Low-voltage and High-current Aviation Motor Controller","authors":"Bo Wang, Shixiao Li, Wenyou Qian, Ruining Jin, Jianqiang Liu","doi":"10.1109/AEES56284.2022.10079401","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079401","url":null,"abstract":"In this paper, a low-voltage and high-current brushless DC motor controller is designed according to the requirements of low-voltage input and large-load output for the motor drive system of the aviation hydraulic electric pump. This paper focuses on the design method of a double closed-loop PI controller parameters, expounds a new bus bar inverter structure for high-current drives, in order to meet the requirements of long-term stable operation, a high-efficiency heat dissipation structure is designed to ensure the power MOS tube can also run stably for a long time under more severe working conditions.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114726427","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}
Zhihui He, Mingche Li, Li Zhang, Yongheng Zhang, Ze Li
{"title":"Analysis of Low Voltage Ride through System for Doubly Fed Induction Wind Turbine","authors":"Zhihui He, Mingche Li, Li Zhang, Yongheng Zhang, Ze Li","doi":"10.1109/AEES56284.2022.10079350","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079350","url":null,"abstract":"The design of low voltage ride through (LVRT) control system for doubly fed induction wind turbine (DFIG) is very important for the transient stability of wind farm and power system. Due to the special connection between DFIG and power grid, (DFIG) is extremely sensitive to the disturbance of power grid. Based on this, the crowbar resistance protection scheme is selected in the low voltage ride through design of DFIG. Under the three-phase symmetrical voltage disturbance, the dynamic performance of DFIG system with or without crowbar is compared and analyzed. Through the detailed observation of DFIG system parameters, the effectiveness of the scheme is verified. The modeling and simulation of this work uses Matlab/Simulink software. It is found that when the Active IGBT crowbar circuit is connected, the DFIG system is stable in a short time.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125632140","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":"An Improved P&O Method MPPT Control Strategy Based on Model Predictive Control for PV System","authors":"Ke Xing, Qingfang Teng, Xuheng Liu, Xiping Ma","doi":"10.1109/AEES56284.2022.10079639","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079639","url":null,"abstract":"Aiming at the problems of the traditional P&O method can't guarantee the dynamic performance and steady-state accuracy at the same time when the external environment changes, for PV system, an improved P&O method maximum power point tracking (MPPT) control strategy based on model predictive control is proposed in this paper. Firstly, the motion of PV operating point is divided into forward motion and reverse motion, and based on this, the perturbing step is divided into large and small step sizes. The forward motion corresponds to small step and the reverse motion corresponds to large step, so as to reduce the oscillation of the PV at the maximum power point (MPP) and increase the dynamic performance and robustness of the PV system for external environmental changes. Secondly, by analyzing, it can be known that the impact of solar irradiance on PV output power is much greater than that on PV output voltage and current. Therefore, the changing value of PV output power is used to judge whether solar irradiance change occurs, and if there is a change for the solar irradiance, the reference current will be modified, further more to improve the dynamic performance and robustness of the PV system. Finally, the method proposed in this paper is compared with the conventional P&O control with fixed, variable and adaptive step sizes to verify the feasibility and effectiveness of it.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127484849","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 Transformer Load Capacity Evaluation","authors":"Xinchen Li, Shuaibing Li, Ning Ling, Yongqiang Kang, Hongwei Li, Haiying Dong","doi":"10.1109/AEES56284.2022.10079676","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079676","url":null,"abstract":"With the rapid development of China's new energy industry, the transformer load has changed significantly, which accelerates the insulation aging of the transformer. Therefore, real-time assessment of transformer load capacity and full exploitation of transformer load potential under the premise of safeguarding equipment safety is the main direction of current development. The hotspot temperature, as a key factor affecting transformer load capacity assessment, has a direct impact on the accuracy of the load assessment by its calculation. This paper summarizes the transformer load capacity assessment methods, analyzes the influence of each state quantity on the load capacity, and provides ideas for the future development of load capacity assessment by analyzing the advantages and disadvantages of current transformer load capacity assessment methods.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121697286","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}
Luzhi Dang, Kai Yang, Qingping Zhang, Yongqiang Kang, Shuaibing Li, Hongwei Li
{"title":"Research on Failure Mechanism and Health Evaluation Index System of Welding IGBT Module","authors":"Luzhi Dang, Kai Yang, Qingping Zhang, Yongqiang Kang, Shuaibing Li, Hongwei Li","doi":"10.1109/AEES56284.2022.10079292","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079292","url":null,"abstract":"With the wide application of insulated gate bipolar transistor (IGBT) in power electronic devices, high power IGBT module inside power electronic devices has become a bottleneck that restricts the overall reliability improvement of the system, and the reliability evaluation of IGBT has become an important subject of current research. Based on the analysis of IGBT failure mechanism, this paper analyzes the research status of IGBT health monitoring from the perspective of electrical, thermal and insulation parameters. Finally, a more complete set of health status evaluation index system of welded IGBT is proposed, which is of great significance to the health status evaluation of IGBT in power electronic devices.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121973691","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}
Lei Wang, Wenbing Wang, Jiahui Gong, Kanwu Liao, Chanjuan Hu, Xiaomeng Li
{"title":"Generating Capacity Improvement Method and Analysis for The Large Horizontal Axis Wind Turbine","authors":"Lei Wang, Wenbing Wang, Jiahui Gong, Kanwu Liao, Chanjuan Hu, Xiaomeng Li","doi":"10.1109/AEES56284.2022.10079617","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079617","url":null,"abstract":"By analyzing the factors that affect the power generation of horizontal axis wind turbines, as well as the secondary factors behind each factor, give the focus direction of increasing power generation. At the same time, based on the comparison of bladed simulation results, the power generation increase proportion and load change proportion of each factor are given, the impact of power generation increase is quantified, and the change proportion of actual wind farm power generation increase is also given. Finally, the direction of generating capacity improvement of other non wind turbine technical dimensions is also given for reference.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122144930","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":"Feasibility Analysis of Solar Constant Temperature Biogas Production System","authors":"X. Zhen, Xu Zhang, Yixiu Bai, Miao Luo, Chuanxi Tan, Shun-Jie Li","doi":"10.1109/AEES56284.2022.10079430","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079430","url":null,"abstract":"This paper introduces a new solar constant temperature biogas production system. Aiming at the influence of environmental temperature change on biogas production system, the hardware circuit and software program of temperature control system are designed. The system takes single chip microcomputer as the core, and uses solar energy collecting module to heat biogas system to improve the gas production rate and stability of biogas digester. The results show that: during the test period, the biogas produced every day is 1m3, the cumulative annual gas production is 398.52m3, the system can reduce CO2 emissions of about 8085kg, NOx emissions of about 23.1kg.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126493570","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":"Bidding Strategy for Concentrated Solar Power with Thermal Energy Storage to Participate in Spot Market","authors":"Wanru Li, Xiuli Wang, Hui Guo, Zhicheng Ma","doi":"10.1109/AEES56284.2022.10079418","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079418","url":null,"abstract":"Concentrated solar power (CSP) with thermal energy storage (TES) not only has fast regulation capability, but also can realize the time-shifted utilization of energy. Therefore, incorporating CSP with TES into the power system is beneficial to peak regulation and smoothing out fluctuations in the output of other renewable energy sources. With the gradual expansion of the total installed capacity of CSP stations, we consider the participation of CSP stations in the spot market as price makers and propose the bidding strategy to maximize the profitability of CSP stations. A bi-level bidding model is derived with the upper-level model aiming at maximizing the profit of CSP stations and the lower-level model aiming at maximizing social welfare. An all-scenario-feasible stochastic algorithm (ASF) is introduced to cope with uncertainty of wind power output. The practicality and effectiveness of the proposed bidding strategy in improving the profitability of CSP stations, enhancing social welfare and promoting wind power consumption are further demonstrated based on the improved IEEE 30-bus case and a real system case in Northwest China.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"45 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120875488","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":"Design of Wireless Sensor Network in Intelligent Distribution Network","authors":"Qingping Zhang, Xuefeng Li, Xiaolong Li, Rui Ma, Zhaoyun Wang, Luzhi Dang","doi":"10.1109/AEES56284.2022.10079327","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079327","url":null,"abstract":"Wireless sensor network in intelligent distribution network with broad prospects for development, but there are many kinds of wireless sensor network topology structure and communication protocol, how to design a wireless sensor low-power networking scheme suitable for the application scenarios of distribution station building, column transformer and box transformer in intelligent distribution network is an urgent problem to be solved at present. In this paper, by comparing different wireless network topology structure, optimize the topology of wireless sensor networks in intelligent distribution networks, and the characteristics of various wireless communication protocols are compared and analyzed. Combined with the actual characteristics of intelligent distribution network distribution station building, column transformer and box transformer, a reasonable wireless sensor network communication protocol is selected. Finally, the networking design scheme of wireless sensor network in the application scenario of intelligent distribution network distribution station building, column transformer and box transformer is proposed. The research results will provide effective solutions for the wide application of wireless sensor networks in intelligent distribution networks.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134241684","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}
Lei Lu, Dan Yu, P. Lin, Chao Gu, Junguo Feng, Shunyao Yang
{"title":"Non-intrusive Load Monitoring Method Based on BIC Event Detection and LSTM Network Model","authors":"Lei Lu, Dan Yu, P. Lin, Chao Gu, Junguo Feng, Shunyao Yang","doi":"10.1109/AEES56284.2022.10079312","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079312","url":null,"abstract":"A non-intrusive load monitoring method based on Bayesian Information Criterion(BIC) event detection and long short-term memory(LSTM) network model is proposed for the current deep learning-based non-intrusive load monitoring algorithms with high event detection requirements. Firstly, we use the sliding window-based BIC algorithm for event detection, design a unified LSTM network model with low complexity, and finally input the detected events into the LSTM model for recognition. The introduced fast event detection algorithm and the modified LSTM network model improve the accuracy of the algorithm. The overall performance of the proposed algorithm is tested on AMPds dataset and real data. The simulation results show that the above method can effectively improve the accuracy and outperform existing algorithms.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133061302","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}