2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)最新文献

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Modified Voltage Control Method for DC Distribution Networks by Coordinating PV Generation, Convertor Station and Energy Storage 光伏发电、换流站和储能协同控制直流配电网电压的改进方法
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10135611
Tian Xiong, Miao Li, Weibing Mao, Dawei Huang, Lei Chen, Zekai Zhao
{"title":"Modified Voltage Control Method for DC Distribution Networks by Coordinating PV Generation, Convertor Station and Energy Storage","authors":"Tian Xiong, Miao Li, Weibing Mao, Dawei Huang, Lei Chen, Zekai Zhao","doi":"10.1109/ACPEE56931.2023.10135611","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135611","url":null,"abstract":"DC distribution networks (DCDNs) have become a research hotspot due to low operation loss, high conversion efficiency, and flexible connection with DC renewable power generators (RPGs) and loads. However, considering the unpredictable fluctuations of the DC RPGs and loads, the bus voltage stability of the DCDNs should be given adequate attention. This paper proposes a modified voltage control method for DC distribution networks to address this critical issue by coordinating PV generation, convertor station, and energy storage unit. Firstly, the theoretical model of the medium-low voltage DCDNs is established, and the operating characteristics are analyzed. Then, various control modes based on the voltage deviation level are introduced, and the coordination control philosophy in different operation modes of the DCDNs is stated. Using MATLAB/SIMULINK, a detailed model of ±10 kV/750 V DCDNs simulation model is created, and simulations of different operation modes are performed to check the modified voltage control method’s efficacy. The results illustrate that the proposed control strategy can efficaciously guarantee the power balance, enhance the voltage stability of the DCDNs, and achieve smooth control switching to face various operating conditions. Therefore, the availability and feasibility of the modified voltage control method are demonstrated favorably.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"32 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":"126384450","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
Forced Oscillation Source Location In Power Systems Using Synchrosqueezing Transform Based Time-Frequency Representation 基于同步压缩变换时频表示的电力系统强迫振荡源定位
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10135834
Tao Jiang, Changjiang Wang, Nan Ye
{"title":"Forced Oscillation Source Location In Power Systems Using Synchrosqueezing Transform Based Time-Frequency Representation","authors":"Tao Jiang, Changjiang Wang, Nan Ye","doi":"10.1109/ACPEE56931.2023.10135834","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135834","url":null,"abstract":"With the increasing adoption of phasor measurement units in power systems, they offer dependable data support for the rapid and precise location of forced oscillation sources. A location approach for forced oscillation sources in the time-frequency domain is proposed in this paper, utilizing the short-time fourier transform based synchrosqueezing transform. Firstly, this method applies synchrosqueezing transform to the phasor measurement information, establishes a synchrosqueezing transform coefficient matrix, and determines the frequency band corresponding to the forced oscillation based on relative energy weighting. Then, based on the derived time-frequency domain dissipation energy flow calculation method, the dissipation energy of the frequency band where the forced oscillation occurs is calculated, furthermore, the characteristics of time-frequency domain dissipation energy flow are used to determine the location of the forced oscillation source. The proposed approach’s effectiveness and precision are then validated using simulated data of forced oscillations in the WECC 179 bus power system.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"113 1-2 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":"116119331","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
Numerical Modeling of Biogas Liquefaction Process with Two-Stage Expander Technologies 采用两级膨胀器技术的沼气液化过程数值模拟
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10135941
Liu Dongren, Mao Aiting, Bian Wenjing, Duan Luanfang, Li Juan, Chen Xiaoyi
{"title":"Numerical Modeling of Biogas Liquefaction Process with Two-Stage Expander Technologies","authors":"Liu Dongren, Mao Aiting, Bian Wenjing, Duan Luanfang, Li Juan, Chen Xiaoyi","doi":"10.1109/ACPEE56931.2023.10135941","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135941","url":null,"abstract":"Biogas is a kind of promising energy for its clean and environmental. It can be obtained from many organic materials and wastes in our daily life. However, the raw biogas cannot be used directly for its low concentration of methane, so an upgrading process and a liquefaction process is need. In this paper, a kind of new system used for biogas liquefied technology was designed. The system consists of screw compressor, water cooler, turbo expander, separator and heat exchanger. Before the biogas enters the system, water scrubbing was carried out to upgrading the biogas. Aspen HYSYS was used for the study to understand the effect of physical parameters such as temperature, pressure and the concentration of the biomethane in the biogas. The results from the simulations show that the energy consumption increased with the increase of the biogas inlet temperature, whereas the liquefaction ratio stay stable. When the inlet gas pressure increased, the energy consumption decreased quickly but the liquefaction is increased. And with the increase of the biogas flow rate, the energy consumption increased and the liquefaction is decreased.","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":"116131360","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
Research on Transmission Method Suitable for Synchronous Wide-Frequency Measurement 适用于同步宽频测量的传输方法研究
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10135858
Guo Fang, Tong Shizhou, Jin Yangjun, Xie Xiaodong
{"title":"Research on Transmission Method Suitable for Synchronous Wide-Frequency Measurement","authors":"Guo Fang, Tong Shizhou, Jin Yangjun, Xie Xiaodong","doi":"10.1109/ACPEE56931.2023.10135858","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135858","url":null,"abstract":"Aiming at the wide-frequency oscillation problem existing in new energy grid-connected and HVDC power transmission, it is imperative to incorporate the wide-frequency measurement results into the Wide Area Measurement System(WAMS) on the basis of the Phasor Measurement Unit (PMU). In this paper, the status of research for wide-frequency oscillation measurement communication transmission is described in detail, and then a transmission method suitable for wide-frequency measurement data is proposed. Firstly, the dual- channel communication of wide-frequency master and substations is adopted to decouple the transmission channel of synchrophasors and wide-frequency data, so as to reduce the transmission rate for synchrophasors. Secondly, wide-frequency data is refreshed at different intervals on the basis of the running status of the power grid, which effectively reduces the real-time data flow between wide-frequency master and substations, reduces the communication burden, and improves the reliability of data transmission. The practicability and effectiveness of the method are verified by simulation in the end.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"43 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":"116665811","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
A Data-Driven Sensitivity Calculation Method for Measurement Error Resistance under Highly Random Charging Load 高度随机充电负荷下测量误差电阻的数据驱动灵敏度计算方法
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10135798
Yuxuan Zhang, Yixin Liu, Li Guo, Yuyang Li, Xue-cui Jia, Tengxin Wang, Min Zhang
{"title":"A Data-Driven Sensitivity Calculation Method for Measurement Error Resistance under Highly Random Charging Load","authors":"Yuxuan Zhang, Yixin Liu, Li Guo, Yuyang Li, Xue-cui Jia, Tengxin Wang, Min Zhang","doi":"10.1109/ACPEE56931.2023.10135798","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135798","url":null,"abstract":"As the strong randomness of loads such as electric vehicles are integrated into the distribution grid, it causes rapid and large power fluctuations. However, the measurement devices in the medium voltage distribution networks have limited accuracy and asynchronous measurements, resulting in large measurement errors. To address the issue, we proposed a datadriven sensitivity calculation method with anti-measurement error characteristics. The topology information of the power grid is generally obtainable in practice. Then the empirical statistics are used to extract analytical sensitivity matrix constraints, which are then involved in the linear sensitivity parameter regression process to reduce the impact of large measurement errors and improve accuracy. The proposed method is validated through IEEE cases and demonstrates significant accuracy advantages over unconstrained parameter regression methods.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"110 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113944941","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
Review of on-line monitoring and health assessment techniques for valve-controlled sealed lead-acid batteries 阀控密封铅酸蓄电池在线监测与健康评价技术综述
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10135554
Liu Deng, Hong Ruan, Jianyuan Xu, Ju Ling, Lian Zhen Yu
{"title":"Review of on-line monitoring and health assessment techniques for valve-controlled sealed lead-acid batteries","authors":"Liu Deng, Hong Ruan, Jianyuan Xu, Ju Ling, Lian Zhen Yu","doi":"10.1109/ACPEE56931.2023.10135554","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135554","url":null,"abstract":"Because of their low cost, high stability, less explosive nature, and mature regeneration technology, valve regulated sealed lead-acid batteries are widely used; however, they have drawbacks such as a short life span, more defects, and more frequent failures. As a result, online monitoring and health assessment of lead-acid batteries are critical to their long-term operation. This paper investigates the failure mechanism of lead-acid batteries and its impact on battery performance, the online monitoring indexes and calculation methods of lead-acid batteries, the online monitoring technology of lead-acid batteries based on substations, communication rooms, and distribution terminals, and the construction of a topology diagram of the battery online monitoring system. Then, from the standpoint of health assessment technology, existing health assessment methods based on both single and multiple variables are examined.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"50 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":"124948126","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
Displacement Monitoring Method of Transmission Tower Foot Based on FEM and Deep Learning 基于有限元和深度学习的输电塔脚位移监测方法
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10135657
Zhenqiang Yang, Jian Wang, Chengjian Bai, Yin Feng, W. Geng, Yanfeng Liu, Feng He
{"title":"Displacement Monitoring Method of Transmission Tower Foot Based on FEM and Deep Learning","authors":"Zhenqiang Yang, Jian Wang, Chengjian Bai, Yin Feng, W. Geng, Yanfeng Liu, Feng He","doi":"10.1109/ACPEE56931.2023.10135657","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135657","url":null,"abstract":"Transmission tower footing displacement can have a large impact on the stable operation of transmission lines. Traditional structural health monitoring methods have limited accuracy. Application of deep learning methods brings new monitoring solutions for online monitoring of power transmission towers. The amount of tower fault data is limited, which cannot provide a good database for deep learning. In this study, a tower displacement monitoring scheme combining finite element method (FEM) and deep learning (DL) was developed. The response data of wind-induced transmission tower vibration under different fault conditions were simulated by FEM. The tower fault database is expanded by means of data enhancement. The dynamic response tests under different displacement states were carried out, and the displacement monitoring of the tower foot was carried out by deep learning method. The findings of this research program show that it is possible to accurately identify the displacement status of the footing of transmission towers and reduce tower accidents.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"5 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":"125243585","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
Study on the Relationship between Carbon Electricity Energy Policy and Carbon Emission Compliance 碳电力能源政策与碳排放合规性关系研究
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10135825
Ding Hongjian, Guo Ke, LI Hanqi, Zeng Ming, Zhang Xiaochun
{"title":"Study on the Relationship between Carbon Electricity Energy Policy and Carbon Emission Compliance","authors":"Ding Hongjian, Guo Ke, LI Hanqi, Zeng Ming, Zhang Xiaochun","doi":"10.1109/ACPEE56931.2023.10135825","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135825","url":null,"abstract":"In the context of accelerating the realization of the \"carbon peaking and carbon neutrality\" goals, the need for the coordinated development of the carbon electricity market to promote the clean and low-carbon transformation of energy is increasingly urgent. This paper studies the relationship between carbon electricity energy policy and carbon compliance. Firstly, the effectiveness of carbon electricity energy policy is analyzed quantitatively by introducing a policy quantitative model; then the carbon market trading volume is analyzed from two dimensions, and the correlation between the cumulative policy effectiveness and the turnover of carbon emission rights over the years was analyzed based on the Pearson correlation analysis, taking Hubei Province as an example; Finally, we proposed a more stable linkage mechanism between carbon electricity policy and carbon market compliance, aiming to optimize the formulation and adjustment of energy policy in the carbon electricity market, with a view to providing a reference for future research on the synergistic development of carbon electricity and energy.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"41 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131435297","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
Overview of Topology Identification for Low-voltage Distribution Network 低压配电网拓扑识别研究综述
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10135681
Chengfei Qi, Yan Liu, Da Xu, Xiaobo Yang, Chaoran Bi, Bowei Hu
{"title":"Overview of Topology Identification for Low-voltage Distribution Network","authors":"Chengfei Qi, Yan Liu, Da Xu, Xiaobo Yang, Chaoran Bi, Bowei Hu","doi":"10.1109/ACPEE56931.2023.10135681","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135681","url":null,"abstract":"Topology identification of low-voltage distribution network is beneficial to ensure the safe and reliable operation of distribution network and the asset management of utilities, which is the basis of distribution network system analysis. In this paper, the existing topology identification methods are divided into two categories. The first type is based on measurement data, including the correlation analysis, cluster analysis, linear programming and neural network. The second type is based on communication signal transmission and uses power line carrier communication for topology recognition. Finally, the existing methods are compared and concluded and the outlook of future work is given.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"5 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":"132757811","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
Intelligent Monitoring and Multi-parameter Identification of Power Distribution Network State 配电网状态智能监测与多参数识别
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2023-04-01 DOI: 10.1109/ACPEE56931.2023.10136019
Cheng Gong, Yifei Li, Baoqun Zhang, Zhao Yu, Quanmin Dai, Tianle Li, Dongying Zhang
{"title":"Intelligent Monitoring and Multi-parameter Identification of Power Distribution Network State","authors":"Cheng Gong, Yifei Li, Baoqun Zhang, Zhao Yu, Quanmin Dai, Tianle Li, Dongying Zhang","doi":"10.1109/ACPEE56931.2023.10136019","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10136019","url":null,"abstract":"Intelligent monitoring and multi-parameter identification of power distribution network state is an important technology for the construction of new power system. The objective of this research is to develop algorithms and techniques for monitoring the state of power distribution networks, identifying any abnormal conditions, and taking appropriate actions to ensure the reliability and stability of the network. Intelligent monitoring involves the use of advanced sensors, communication networks, and data analytics tools to continuously monitor the key parameters of the power distribution network. These monitoring parameters include voltage, current, power flow, partial discharge, mechanical vibration, overheating temperature and other electrical quantities. The edge computing technique in electrical power equipment condition monitoring will be real-time, intelligent, but also has good data processing ability for intelligent monitoring of power distribution network. The data from these sensors is collected and analyzed by edge computing in real-time to detect any abnormalities or deviations from the normal operating conditions. Multi-parameter identification involves the use of advanced data analytics tools to identify the relationships between different parameters of the power distribution network. This enables the identification of any inter-dependencies or correlations between different parameters, which can be used to identify the root cause of any abnormalities in the network. The use of intelligent monitoring and multi-parameter identification can help power distribution companies to improve the reliability and stability of their networks, reduce downtime, and optimize their operations. It can also help to improve the quality of service provided to customers by ensuring that power is supplied reliably and consistently in new power system.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"57 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":"133349312","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
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