2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)最新文献_第9页

A new perspective of power system operation and management -- Research on power/energy data asset value evaluation model for power grid enterprises 电力系统运营管理新视角——电网企业电力/能源数据资产价值评估模型研究

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783826

Junfeng Bai, Xiang Li, Weibin Wang, Haini Qu

引用次数: 0

A data monitoring system using wireless network for inner suspended gin pole tower erection construction 一种采用无线网络的内悬杆塔架设施工数据监控系统

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783655

Fei Wang, Kaixiang Yu, Shun Li, J. Mao, Wenqi Niu

{"title":"A data monitoring system using wireless network for inner suspended gin pole tower erection construction","authors":"Fei Wang, Kaixiang Yu, Shun Li, J. Mao, Wenqi Niu","doi":"10.1109/ACPEE53904.2022.9783655","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783655","url":null,"abstract":"With the rapid development of Internet of Things technology, the remote monitoring technology has made rapid development. Based on ARDUINO NANO, ESP8266 and some sensors, A data monitoring system for internal suspended gin pole tower erection construction is developed. In the system, the digital drawing force sensor is used to measure the force status of external stay wire, support rope or internal stay wire of internal suspended gin pole tower erection in real time, as well as inclination sensor, and then the measurement value is transmitted to the mobile phone or PC terminal in real time, in which, the safe force range is set. When the measured drawing force is close to 80% of the safe force or other critical conditions, the alarm signal will be sent and the construction work must be stopped immediately. In this paper, the wireless transmission nodes, the wireless WIFI LAN base station, LAN communication mode and monitoring terminal are designed and implemented, respectively. In practice, there are some advantages for this system, such as good reliability, strong anti-interference ability, low cost, wide application prospects and practical value.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124701577","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}

引用次数: 0

Identification of Typical Partial Discharge Defects of Distribution System Equipment Based on Classification Learner 基于分类学习器的配电系统典型局部放电缺陷识别

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783924

Jingde Chen, Yaqing Li, Junfei Chen, Dan Liu, Yitao Yang

{"title":"Identification of Typical Partial Discharge Defects of Distribution System Equipment Based on Classification Learner","authors":"Jingde Chen, Yaqing Li, Junfei Chen, Dan Liu, Yitao Yang","doi":"10.1109/ACPEE53904.2022.9783924","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783924","url":null,"abstract":"In the operation and maintenance of smart distribution system equipment, in order to improve the intelligence level of inspection and significantly enhance the inspection efficiency and distribution network equipment management, it is critical to effectively identify and warn the partial discharge faults caused by insulation defects. In this paper, a feature extraction and identification method are proposed by experimentally simulating the partial discharges of typical defects inside the distribution network equipment. Firstly, different discharge models are built and the UHF sensor is used to obtain the partial discharge signals, and then the partial discharge statistical characteristics are calculated by analyzing features of the 2D and 3D partial discharge patterns. Based on various supervised machine learning algorithms, 3 typical defects are identified by the statistical characteristics using the classification learner. The results show that the selected statistical characteristics: the maximum amplitude of discharge, the average amplitude of discharge and the ratio of positive and negative half-period total discharge amplitude can well reflect the discharge characteristics of different defects and can distinguish between different types of discharges. At the same time, the identification accuracy of the three discharge types is high, which can achieve an accurate diagnosis of the fault types.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125060483","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}

引用次数: 1

Constant Frequency Operated Autonomous AC Microgrid with Different MPPT Methods Applied to PV Panels and with Converting Circuit for Powering Unbalanced Loads 不同MPPT方式的恒频自主交流微电网应用于光伏板及不平衡负载的转换电路

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783914

Daming Zhang

{"title":"Constant Frequency Operated Autonomous AC Microgrid with Different MPPT Methods Applied to PV Panels and with Converting Circuit for Powering Unbalanced Loads","authors":"Daming Zhang","doi":"10.1109/ACPEE53904.2022.9783914","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783914","url":null,"abstract":"In this paper, an autonomous microgrid is proposed to supply power to both balanced and un-balanced loads through step-up and step-down transformers and three-phase transmission lines. The microgrid is operated at constant frequency which is maintained by the grid-forming generator, accompanied by a reactive power compensator. The grid-feeding generator outputs maximum power from solar panel to the microgrid while the grid-supporting generator together with the grid-forming generator outputs power to keep voltage variation within limit. Different MPPT methods have been adopted to extract maximum power from PV panels and their effectiveness has been compared. Three-phase transformers in Δ-Y connection with Y’s neutral connected to its local grounding system are adopted to mainly supply power to balanced three-phase loads and also a small percent of unbalanced loads as at the primary Δ-side only positive- and negative-sequence currents can flow and zero-sequence current is effectively blocked. AC-DC-DC-AC converter with medium-frequency transformer isolation and with four-wires at the output is also adopted to mainly supply power to single-phase loads. Fixed-time-step real time modeling in Matlab/Simulink has been conducted to prove the effectiveness of the system. From the simulation results, it is found that such a system can operate with high power quality: frequency being fixed at 50Hz and voltage deviation from rated one being kept well within ±5%.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134438148","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}

引用次数: 1

Research on the Accuracy of Online Sag Monitoring of Overhead Transmission Line 架空输电线路暂降在线监测精度研究

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9784016

Peng Jiang, Jiang Wendong, Jiang Hong, Ge Huangxu, Zhang Huajie, Sun Yuwei

引用次数: 0

A migration learning-based transient stability and impact assessment method for hybrid AC-DC power system faults 基于迁移学习的交直流混合电力系统暂态稳定性及故障影响评估方法

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783985

Xing Meng, Pingliang Zeng, Shicong Ma

{"title":"A migration learning-based transient stability and impact assessment method for hybrid AC-DC power system faults","authors":"Xing Meng, Pingliang Zeng, Shicong Ma","doi":"10.1109/ACPEE53904.2022.9783985","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783985","url":null,"abstract":"With increasing penetration of intermittent renewable generation, the mode and characteristics of power system instability have become more complex and difficult to predict. Traditional machine learning prediction models, with different operation modes and topologies of the power grid system, suffers from poor prediction accuracy. This paper proposes a migration learning-based transient stability and quantitative evaluation of fault impact assessment method for hybrid AC-DC power system. Firstly, the characteristics of AC-DC hybrid power grid transient stability feature extraction and pointer are analyzed, then migration learning model and ResNet and their advantages in grid transient prediction are discussed, and a prediction model based on migration learning is built using ResNet18. Finally, the method is applied to the IEEE-39 node test system. Results show that the proposed method can carry out fast stability identification with small number of training samples by using positive sequence voltage data. It has better generalization capability and robustness than traditional machine learning methods.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"426 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133864039","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}

引用次数: 0

Aggregated Control of Smart Building Units for Frequency Regulation in Multi-Region Power Systems 智能楼宇单元在多区域电力系统频率调节中的聚合控制

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783943

Q. Duan, Kaiwen Zeng, Jianing Liu, Bin Du, Peng Liao

{"title":"Aggregated Control of Smart Building Units for Frequency Regulation in Multi-Region Power Systems","authors":"Q. Duan, Kaiwen Zeng, Jianing Liu, Bin Du, Peng Liao","doi":"10.1109/ACPEE53904.2022.9783943","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783943","url":null,"abstract":"The grid frequency regulation is a challenging problem in power systems with high renewable penetration. The smart building units (SBUs) consisting of thermostatically-controlled loads have the capability to participate the grid ancillary service considering the users’ comfort level. This paper presents a distributed aggregation control framework for multiple SBUs in a residential community, so that they can be utilized for grid frequency regulation. The proposed method is designed by using a finite-time distributed leader-follower consensus control. A leader control with two-control mode is proposed, which includes (i) frequency regulation mode (ii) comfort restoration mode. The leader control will determine the references of power and comfort state for the aggregated SBU. With the proposed method, the aggregated SBUs will be capable to track power reference and recover energy state in finite-time. The presented aggregation approach can effectively improve the frequency stability with consensus state sharing in SBUs. We have tested the capability of the developed control scheme in a three-region power system under different scenarios.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"118 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133489879","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}

引用次数: 0

Low-carbon Optimization Operation of Integrated Energy System Considering Ladder-type Carbon Trading and Carbon Capture 考虑阶梯式碳交易和碳捕获的综合能源系统低碳优化运行

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9784059

Jiming Chen, Ke Ning, Qing Zhang, Qian Xu, Wencong Chen, Xinwei Yu

引用次数: 4

Day ahead Residential load forecasting with neural memory network 基于神经记忆网络的住宅日前负荷预测

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783657

Jian Zuo, Peishan Ye, Xiangzhen He, Yun Yang, Yashan Zhong, Cong Fu, Bo Bao, Feng Qian

引用次数: 0

Analysis of the influence of rotor structure on operating characteristics of motor actuator used in vacuum circuit breaker in distribution network 配电网真空断路器转子结构对电机执行器运行特性的影响分析

2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9784101

Lu Haiwei, Shi Kejian, Hui Shihan, Furu Wei, Yue Yongbin, Gu Taiyu

引用次数: 2