2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)最新文献_第8页

Intelligent Detection Scheme of Tripping-Closing Coil Resistance for Medium-Low Voltage Distribution Circuit Breaker Based on Intelligent Detection System 基于智能检测系统的中低压配电断路器跳闸线圈电阻智能检测方案

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759606

Min Zhang, J. Fang, W. Mo, Bai Huang, Jiaxing He, Xiang Lin

引用次数: 0

A Framework for Evaluating the Performance of Distributed Renewable Energy Integration Measures 分布式可再生能源集成措施绩效评估框架

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759413

Fulong Song, Yangzi Wang, Caihao Liang, Shengnan Zhao, Kunyue Nie

引用次数: 0

Evaluation and Improvement of Voltage Stability of the Paralleled Virtual Synchronous Generator and Current-Controlled VSC System 虚拟同步发电机与电流控制VSC并联系统电压稳定性评估与改进

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759812

Huiqiang Sun, Xinchun Lin, Songbai Chen, Dan Liu, P. Xiong, Yiqun Kang

{"title":"Evaluation and Improvement of Voltage Stability of the Paralleled Virtual Synchronous Generator and Current-Controlled VSC System","authors":"Huiqiang Sun, Xinchun Lin, Songbai Chen, Dan Liu, P. Xiong, Yiqun Kang","doi":"10.1109/AEEES54426.2022.9759812","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759812","url":null,"abstract":"With the booming of renewables, power electronic converters have been increasingly connected to the power grid. However, when the power grid fails, the connection with the power grid should be quickly disconnected and switched to the island operation mode for improving the reliability of the power supply. The islanded system has more complicated issues with stable operation and power supply reliability. Aiming at the voltage stability problem of the islanded system, this paper firstly establishes a small-signal model of the islanded system in parallel with virtual synchronous generator (VSG) and current-controlled voltage source converter (CCS). The voltage stability of the system is evaluated and the stability boundary of the system is predicted, which guides further parameter optimization. Then the multi-objective particle swarm optimization algorithm is introduced to optimize the key controller parameters which have a great impact on the system voltage. Finally, the simulation results are given to verify the correctness of the theoretical analysis.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131450547","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

Stability Study of Battery Simulator Based on Multisampling Technique 基于多采样技术的电池模拟器稳定性研究

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759720

Changzhou Yu, K. Rong, Jiale Yan, Siqi Huang, Wenjie Cao, Lican He

引用次数: 0

Analysis of XLPE Cable Buffer Layer Defects Localization Based on Impedance Spectroscopy 基于阻抗谱的XLPE电缆缓冲层缺陷定位分析

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759713

Xuefeng Zhao, Lan-Qing Qu, H. Mu, X. Zou, W. Duan, L. Pu

引用次数: 2

Source-Load-Storage Coordinated Optimization Dispatch for Distribution Networks Considering Source-Load Uncertainties 考虑源负荷不确定性的配电网源-负载-存储协同优化调度

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759402

J. Zhong, Kejun Li, Kaiqi Sun, Jie Liu, Xue Chang

{"title":"Source-Load-Storage Coordinated Optimization Dispatch for Distribution Networks Considering Source-Load Uncertainties","authors":"J. Zhong, Kejun Li, Kaiqi Sun, Jie Liu, Xue Chang","doi":"10.1109/AEEES54426.2022.9759402","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759402","url":null,"abstract":"The rapid increase of the distributed generation (DG) in the distribution network brings challenges to the distribution network operation. Owing to the volatility, uncertainty and uncontrollability, the traditional distribution network dispatch is difficult to realize friendly integration of the DGs. The distribution network optimization dispatch is an effective measure to deal with this issue. In this paper, a source-load-storage coordinated optimization dispatch scheme for distribution networks is proposed. Unlike the traditional optimal dispatch method with large errors under the high proportion of the DGs and flexible loads integrating to the distribution, the proposed optimization dispatch scheme considers the uncertainties of the source and load. Based on the scenario method, the uncertainty of Photovoltaic (PV), wind power, electric vehicle (EV) and load could be mitigated, and the typical power curves could be obtained. Based on the obtained typical power curves, the proposed optimization model is established with the objective of minimizing the operation cost of the distribution network. Then the planned value of distributed power output, the planned value of energy storage device operation, and the operation cost of the power system could be obtained by the optimization model. The case study performed in Matlab verifies the effectiveness and feasibility of the proposed optimization dispatch scheme.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122253507","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 Novel Industry-Classification Final Energy Consumption Structure Clustering Method Based on Improved K-Means Algorithm 一种基于改进K-Means算法的行业分类最终能耗结构聚类方法

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759600

Zilong Zhao, Jinrui Tang, Jianchao Liu, Ganheng Ge, Hong-Gang Yang

{"title":"A Novel Industry-Classification Final Energy Consumption Structure Clustering Method Based on Improved K-Means Algorithm","authors":"Zilong Zhao, Jinrui Tang, Jianchao Liu, Ganheng Ge, Hong-Gang Yang","doi":"10.1109/AEEES54426.2022.9759600","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759600","url":null,"abstract":"The industry-classification final energy consumption structure is inextricably linked to economic development. Due to the goal of carbon neutrality, China's industry-classification final energy consumption structure is undergoing profound changes. It is challenging to analyze the industry-classification final energy consumption structure in multiple dimensions using analytical tools such as line charts. In order to illustrate the variation of the final energy consumption structure in different industry sectors at different times, a novel industry-classification final energy consumption structure clustering method based on an improved $K$-means algorithm is proposed in this paper. Three methods, including the elbow method, the silhouette coefficient method, and the Calinski-Harabasz (CH) index method, are used to optimize $k$ values in the $K$-means algorithm. The classification results are evaluated through the empirical analyses from the China industry dataset. The simulation results demonstrate that the proposed method can accurately classify the industry-classification final energy consumption structure of industrial sub-sectors into four categories. Moreover, the trend of the evolution of the industry consumption structure shows that most industries have shifted from coal-based consumption to electricity-based consumption.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125757123","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 Deterministic and Probabilistic Prediction Method for Short- Term Photovoltaic Power Considering Spatial Correlation 考虑空间相关性的光伏发电短期确定性和概率预测方法

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759764

Dong Liu, Long Zhao, Ming Yang, Zhiyuan Si, Chuanqi Wang, Yating Liu, Zhiyong Shi

{"title":"A Deterministic and Probabilistic Prediction Method for Short- Term Photovoltaic Power Considering Spatial Correlation","authors":"Dong Liu, Long Zhao, Ming Yang, Zhiyuan Si, Chuanqi Wang, Yating Liu, Zhiyong Shi","doi":"10.1109/AEEES54426.2022.9759764","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759764","url":null,"abstract":"With the application of distributed photovoltaics in recent years, spatial correlation is necessary to improve forecasting accuracy. Therefore, a deterministic and probabilistic forecasting method of short-term photovoltaic power considering spatial correlation is proposed in this paper. This method firstly analyzes the spatial correlation of multiple photovoltaic sequences of similar power stations and selects the reference photovoltaic sequence with a strong correlation. Then, an approach is proposed for selecting similarity days based on grey correlation degree theory. The selected similarity days are used as a training model, and Extreme Gradient Boosting (XGBoost) is utilized to construct a prediction model to obtain single-value forecasting results. Finally, by obtaining the corresponding error probability density function and error distribution interval, and adding up to the single-value forecasting result, the photovoltaic power probability prediction can be realized. The effectiveness of the proposed method is verified by the simulation.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132457761","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

Analysis of Adjustable Capacity of Air Conditioning Load Based on the Power Distribution Area 基于配电区域的空调负荷可调容量分析

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759403

Min Wang, Yuan Chen, Zixuan Yu, Huilin Wang, Fanglin Zuo, Jian Zhou, S. Shi

引用次数: 0

Air Conditioning Load Forecasting Model Considering EV and Urban Heat Island Effect 考虑EV和城市热岛效应的空调负荷预测模型

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759826

Xin Zhao, Wanlei Xue, Xiaoyang Lian, Mingqiang Wang, Ying Mu

引用次数: 1