2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)最新文献_第8页

Electric Power System Transient Stability Assessment Based on Bi-LSTM Attention Mechanism 基于Bi-LSTM关注机制的电力系统暂态稳定评估

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9437089

Nawaraj Kumar Mahato, Jie Dong, C. Song, Zhimin Chen, Nan Wang, Hongliang Ma, Gangjun Gong

{"title":"Electric Power System Transient Stability Assessment Based on Bi-LSTM Attention Mechanism","authors":"Nawaraj Kumar Mahato, Jie Dong, C. Song, Zhimin Chen, Nan Wang, Hongliang Ma, Gangjun Gong","doi":"10.1109/ACPEE51499.2021.9437089","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437089","url":null,"abstract":"This paper puts forward a Bi-LSTM attention mechanism model based on voltage phasor for electric power system transient stability assessment. The Bi-LSTM attention mechanism is used to map the relationship between voltage phasor and power system transient stability, and by establishing a sample matrix of transient stability information in the initial stage of the perturbation level, the extracted features are more robust, effectively reducing the false and missing samples, thus improving the generalization ability and evaluation performance of the model. Furthermore, by adjusting the network structure parameters of the best evaluation indicator. The mapping model between input features and transient stability is established to further reduce false positives and sample loss, and to improve the accuracy of network model evaluation. The improved model combines Bi-LSTM feature extraction layer and attention mechanism to form a hybrid model for a transient stability classification model, and the IEEE-39 bus New England test system is used to verify the accuracy of the model, and the wide-area noise is introduced into the generated data to evaluate the robustness of the system. Finally, the method is used to realize the transient stability evaluation of the electric power system based on voltage phasor data, and the validity of the proposed model is authenticated by comparative analysis of the proposed hybrid model with another deep learning models.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122539692","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: 3

Research and Application of Digital Twin Technology in Power Grid Development Business 数字孪生技术在电网开发业务中的研究与应用

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436946

Tao Liu, Haibo Yu, H. Yin, Zhenlei Zhang, Zhiwei Sui, Dianchao Zhu, Lu Gao, Zhen Li

{"title":"Research and Application of Digital Twin Technology in Power Grid Development Business","authors":"Tao Liu, Haibo Yu, H. Yin, Zhenlei Zhang, Zhiwei Sui, Dianchao Zhu, Lu Gao, Zhen Li","doi":"10.1109/ACPEE51499.2021.9436946","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436946","url":null,"abstract":"This article introduces the research and application of digital twin technology in the development of power grids. It relies on the Planning Information System management platform of the State Grid Corporation of China, with the goal of scientifically leading the development of a strong smart grid. It takes the Internet of things, blockchain, big data and other technologies as the support, and integrates massive data such as power, pipe trench corridor, regulatory planning and meteorological data, to build an online platform on which the power grid can be planned, constructed, and operated. At present, the Planning Information System platform is based on digital twin technology, which has integrated 22 sets of professional systems such as infrastructure, dispatching, equipment and marketing, and has access to 334 categories and 56 billion pieces of data such as equipment ledger, operation curve, project data and space resources. Through the above research, we have realized the \"digital twin\" of \"physical power grid\" and \"online power grid\", which supports the high-quality development of power grid business.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124262726","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: 10

Study on Application of One Key Sequence Control in 750 kV Substation 一键顺序控制在750kv变电站中的应用研究

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436875

Zaibao Xiong, Xing Gan, Yu Gao, Yanning Li, D. Ding, Yingtao Tian

引用次数: 1

Distributed optimal dispatching of AC/DC hybrid microgrid based on consensus algorithm 基于共识算法的交直流混合微电网分布式优化调度

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436903

Lingxiao Li, Xin Bai, Yaosong Guo, Jun Zhang, Cai-sheng Chen, Yapeng Yi, Aiping Wang

引用次数: 4

Power quality monitoring and its visualization application based on graph database 基于图形数据库的电能质量监测及其可视化应用

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436956

Fang Lin, Yan Lin, Huiyu Zhang, Daoshan Huang

引用次数: 0

Load Optimization and Control Strategy Research Based on Flexible and Controllable Load Characteristics 基于柔性可控负载特性的负载优化与控制策略研究

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9437117

Jingyan Liu, Pu Zhang, Qing Fang, Defei Yao, Xuenan Li, Jiayin Song, Siqi Guo, Ying Lian

引用次数: 1

Scenarios Analysis and Energy Supply Optimization Configuration for Multi-station Integration 多站集成的场景分析与能源供应优化配置

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436840

Yan Li, Yazhong Ye, Hong Li, Haifeng Liang, Qun Zhang, Qingshan Wang, Qiong Wang

{"title":"Scenarios Analysis and Energy Supply Optimization Configuration for Multi-station Integration","authors":"Yan Li, Yazhong Ye, Hong Li, Haifeng Liang, Qun Zhang, Qingshan Wang, Qiong Wang","doi":"10.1109/ACPEE51499.2021.9436840","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436840","url":null,"abstract":"Multi-station integration is conducive to intensive and efficient utilization of resources and provides basic guarantee for the construction of ubiquitous power internet of things. This paper studies the integration mode of \"substation + data center station + battery energy storage station\", and further explores the energy supply structure of the multi-station integration energy service station under different integrated element scenarios. Secondly, the planning-operation bi-layer model of multi-station integration is established, which aims at minimizing the total economic cost of equivalent annual value, and comprehensively considers the characteristics of multi-energy complementary energy flow of the system as well as the operation constraints under the function positioning of substations. Then the CPLEX solver is called under the YALMIP platform through MATLAB and combined with the improved particle swarm algorithm to complete the interactive solution of the upper and lower model. Finally, an example is used to verify the correctness of the model and analyze the economics of multi-station integration, which provides a reference for the actual construction of multi-station integration.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755268","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

Fault Diagnosis Analysis and Application of DC-DC Power Supply based on FMEA and FTA 基于FMEA和FTA的直流电源故障诊断分析及应用

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436926

Dalian Wang, Siqi Li, Congcong Li, Yingying Zhang

引用次数: 4

Assessment of economic losses of natural gas systems considering the effects of voltage sag 考虑电压暂降影响的天然气系统经济损失评估

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9437025

Danjie Zhang, Jianjun Zhang, Tuo Deng, J. Ren, Wei Liu, Yan Zhang

引用次数: 0

Feature Extraction for Non-intrusive Load Monitoring System 非侵入式负荷监测系统的特征提取

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436971

Qiuzhan Zhou, Jiahui Wei, Mingyu Sun, Cong Wang, Jing Rong, Jikang Hu, Tong Yang

{"title":"Feature Extraction for Non-intrusive Load Monitoring System","authors":"Qiuzhan Zhou, Jiahui Wei, Mingyu Sun, Cong Wang, Jing Rong, Jikang Hu, Tong Yang","doi":"10.1109/ACPEE51499.2021.9436971","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436971","url":null,"abstract":"Compared with traditional intrusive load monitoring system, the non-intrusive load monitoring system only needs to install a monitoring equipment at the entrance of the power supply. In this paper, we focus on the feature extraction for non-intrusive load monitoring system. By extracting features from the monitored voltage and current and training them in machine learning model, we can identify the types and operation states of different loads. Meanwhile, these features reflect the electrical characteristics (e.g., power) and can be used to detect the events (i.e., switch of operation states) for every load. Specifically, the features are obtained via time and frequency domain analysis. In time domain, energy ratio is calculated to detect the events during the operation of loads. Besides, active and reactive power, power factor and current peak coefficient are also calculated. To identify the load with current peak distortion, we innovatively propose a position ratio, defined as the ratio of the ramp-off time over the ramp-up time for a period of current waveform. In frequency domain, harmonic and total harmonic current distortion are extracted. Apart from this, the harmonic ratio such as the ratio of third harmonic to fundamental wave is proposed for load identification. It can be seen that, for resistive load such as heating kettle, the harmonic ratio is quite close to zero; for inductive load such as washing machine, the harmonic ratio is close to 1.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130067087","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