{"title":"CEECT 2021's Reviewer List","authors":"","doi":"10.1109/ceect53198.2021.9672648","DOIUrl":"https://doi.org/10.1109/ceect53198.2021.9672648","url":null,"abstract":"","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115773404","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}
Yunkun Xu, Zhen-yu Liu, Guifang Duan, Jianrong Tan
{"title":"Model-Assisted Reinforcement Learning with Adaptive Ensemble Value Expansion","authors":"Yunkun Xu, Zhen-yu Liu, Guifang Duan, Jianrong Tan","doi":"10.1109/CEECT53198.2021.9672626","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672626","url":null,"abstract":"Integrated with model-based approaches, reinforcement learning can achieve high performance with low sample complexity. However, the inaccurate learned dynamics model will degrade the performance, and the cumulative bias increases with the length of imaginary rollout. A key challenge is to improve sample efficiency without introducing significant errors. In this paper, Model-assisted Adaptive Ensemble Value Expansion (MAEVE) is proposed, which augments value expansion with imaginary training. By explicitly estimating the uncertainty of the dynamics and the value fucntion based on stochastic ensemble method, MAEVE adjusts the length of rollouts adaptively to maintain a dynamic balance between sample complexity and computational complexity. Considering the impact of the cumulative model bias on different rollout-length, MAEVE adjusts the sampling probabilities of samples at different imagination-depths instead of treating them equally. Therefore, MAEVE ensures that the learned dynamics model is only utilized if it does not introduce serious errors. Altogether, our approach significantly increases the sample efficiency compared to model-free and model-based baselines on challenging continuous control benchmarks without performance degradation.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030371","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 Novel View Attention Network for Skeleton based Human Action Recognition*","authors":"Shaocheng Li, Zhen-yu Liu, Jianrong Tan","doi":"10.1109/CEECT53198.2021.9672614","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672614","url":null,"abstract":"Skeleton based human action recognition is becoming increasingly popular nowadays thanks to the development of low-cost depth sensors and pose estimation techniques. To enrich the expression of human skeletal characteristics and enhance generalization ability of models, new approaches are proposed to utilize human skeletons observed by multiple viewpoints for feature extracting. Despite the significant progress on these multi-view skeletons based approaches, the intrinsic correlation among views and fusion form of features have not been extensively investigated. In order to tackle these problems, we proposed a novel View Attention Network (VANet), which can learn the relationship of different views and fuse the multi-view features effectively. First, the spatio-temporal dynamics of human skeletons are encoded in the multi-view skeletal arrays. Then, a multi-branch Convolutional Neural Network (CNN) is adopted for extracting features from multiple views. Moreover, we design a view attention module to capture the correlation across different views. Particularly, we expend the module to a multi-head format to increase the feature spaces and enhance the robustness of entire network. Finally, an aggregated feature is learned from the module for final recognition. Extensive experiments on public NTU RGB+D 60 and SBU Kinect Interaction datasets show that our approach can achieve state-of-the-art results.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128114649","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}
Jie Liu, Yujian Dai, Longwen Fan, Q. Zhao, Dingkang Liang
{"title":"Comprehensive situation assessment method of the regional distribution network considering massive renewable energy access","authors":"Jie Liu, Yujian Dai, Longwen Fan, Q. Zhao, Dingkang Liang","doi":"10.1109/CEECT53198.2021.9672634","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672634","url":null,"abstract":"To effectively perceive the comprehensive situation of the regional distribution network with massive renewable resources, an evaluation approach based on trapezoidal fuzzy numbers and measurement of alternatives and ranking according to compromise solution (MARCOS) is proposed. First, the comprehensive situation evaluation index system of the regional distribution network is constructed, which involves four aspects: security situation, economic situation, low-carbon situation, and regulation situation. Then, the trapezoidal fuzzy number is used to express and analyze the semantic evaluation information of qualitative indicators, and the evaluation information is fused based on fuzzy theory to reduce the impact of uncertainties on the comprehensive situation evaluation results of the distribution network. Further, the trapezoidal fuzzy MARCOS method is used to process the decision-making information, thereby obtaining the final evaluation result. Finally, taking Taiyuan City as an example, the proposed method is used to evaluate and analyze the comprehensive situation of the regional distribution networks within the jurisdiction of the city, and the feasibility and effectiveness of the proposed method are verified by combining with the realities.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125257945","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}
Man Xiaowei, Bai Hewen, Zhang Zhiren, Ren Jing, Kang Xiaoning
{"title":"An Operation Model for Hybrid Renewable Energy Storage Power Systems with Multi-type Units","authors":"Man Xiaowei, Bai Hewen, Zhang Zhiren, Ren Jing, Kang Xiaoning","doi":"10.1109/CEECT53198.2021.9672623","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672623","url":null,"abstract":"Renewable energy consumption is an important part of the operation of the electric energy system, which can effectively reduce carbon emissions. This paper aims to propose a model and method for improve renewable energy consumption by batteries based on electric power system with multi-type units at the trend of increasing proportion of renewable energy power output. The proposed model optimizes the thermal units, RE units, pumped storage units, hydropower units, combined heat and power units and batteries in a unified manner, considering the uncertainties and fluctuations of renewable energy and taking into account the system operation constraints, Taking the modified IEEE-RTS79 system as an example, the correctness and effectiveness of the proposed model and method are analyzed and verified. The results of the case study show that the addition of batteries can and absorb more renewable energy and improve the economics of system operation. By changing the working mode of the battery, the utilization rate of the battery capacity and a larger RE consumption interval can be improved.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132039709","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}
Zhongping Xu, Bingxu Hou, Peng An, W. Luo, Lu Gao, Xi Chen
{"title":"Static Correlation Analysis with Industrial Electricity Consumption Volumes","authors":"Zhongping Xu, Bingxu Hou, Peng An, W. Luo, Lu Gao, Xi Chen","doi":"10.1109/CEECT53198.2021.9672642","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672642","url":null,"abstract":"Based on that electricity consumption is an objective indicator of industrial activities, it is deduced that the economic connections between industries can be mapped to the correlation of their electricity consumption time sequences. Correlation analysis of industrial electricity consumption can be categorized into static analysis and dynamic analysis based on whether causality is considered. The former aims at describing a topological figure of the industrial structure while the latter at deciding direction and strength of driving force transfer. In this paper, static analysis is performed with Shandong prefecture industry electricity consumption data. An MST network is built with Shandong 133-industry classification. The result shows generalities and specialties of Shandong industrial structure, comparing with common cognition. Centrality analysis is performed with electricity data of industry divisions and groups in Shandong prefectures. The result presents the influence of different industries to local national economy. The study offers a viewpoint of power to discover and explain industrial economic features and could be of assistance for the authority in making related strategy.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132313576","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 economic optimization model for RIES considering interaction and uncertainty of electric-gas-thermal systems","authors":"Sheng Zhou, Zhuohan Jiang, Liang Zhu, Yuqing He, Tingting Leng, Jingjie Huang","doi":"10.1109/CEECT53198.2021.9672658","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672658","url":null,"abstract":"In order to promote the interaction and stochastic factors among power, natural gas and thermal systems in regional integrated energy system (RIES). Firstly, the interaction between various energy sources in the regional integrated energy system and the uncertainty of different load forecasting are considered, than we established an economic optimization model of regional comprehensive energy combined cooling, heating and power. Secondly, due to the user's demand for heating, refrigeration and electricity can be met by a variety of energy forms, the deepening of demand response policy strengthens the correlation between electricity and gas. So, the multi-point estimation method of Nataf transform is used to convert the random quantity and dynamically modify the weight to obtain the correlation matrix close to the real value, so as to solve the model. The simulation results show that compared with the RIES without considering energy interaction and uncertainty, the economic benefits of the RIES considering coupling and randomness are better, and the solution algorithm proposed in this paper has strong global search ability.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134212383","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":"Power Grid Facility Thermal Fault Diagnosis via Object Detection with Synthetic Infrared Imagery","authors":"Chao Wei","doi":"10.1109/CEECT53198.2021.9672631","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672631","url":null,"abstract":"With the rapid development of the economy and society, the daily life of residents and the production activities of enterprises have an increasing demand for electric energy. With the surge of power facilities and power grid load, many potential dangerous factors in the power grid system are always threatening the safety of people's life and property. In order to maintain the safe and stable operation of power grid facilities, condition maintenance and fault diagnosis are particularly important. Traditional manual power facility diagnosis methods often have some problems and deficiencies and will encounter some difficulties in real-world applications. As a kind of instrument diagnostic method, infrared thermal imagery has attracted more and more attention in the electric power industry in recent years with its incomparable advantages. In this paper, we propose to utilize infrared imagery to diagnose the thermal fault of the power grid facilities, especially for the transformers. Specifically, we first employ the deep learning object detection models to locate the power grid facilities in the real world, then the diagnosis system can assess the condition of the facilities according to the infrared thermal imagery. To improve the detection rate of the power grid facilities, we typically synthesize the RGB based image and infrared thermal imagery. The experimental results show that the synthesis technique significantly promotes the detection results.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132909926","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}
Yuefeng Lu, J. Fang, Min Zhang, Dongliang Zhang, Xingwu Yang
{"title":"Design and Application of Integrated Sensing Terminal for Power Transformer","authors":"Yuefeng Lu, J. Fang, Min Zhang, Dongliang Zhang, Xingwu Yang","doi":"10.1109/CEECT53198.2021.9672661","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672661","url":null,"abstract":"To realize the online status monitoring of power transformers, a type of integrated sensing terminal has been developed, and the corresponding fault identification algorithm is also proposed. Benefiting from the well-designed hardware and software, this smart device is able to sample, process, store and transmit multi-status data such as partial discharge signals and infrared images. Based on this kind of data stream, an intelligent algorithm composed of two data processing branches is able to fuse different types of features and to improve fault detection accuracy. To be specific, Transformer Network and similarity calculation are combined for infrared image processing, and Multi-layer Perceptron Models are utilized for feature vector embedding. The final step is to classify samples with K-means clustering algorithm combined with slide windows. Experiments on field data show that this method is much better than other data fusion strategies, providing a practical solution to multi-status fault detection problem of power transformers.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123487636","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":"The $alphabeta$ Impedance Modeling with Small Disturbances of Any Form for Three-phase Power-Electronics-Based Power Systems","authors":"Ziqian Yang, Yifan Huang, Mengyuan Zhan","doi":"10.1109/CEECT53198.2021.9672613","DOIUrl":"https://doi.org/10.1109/CEECT53198.2021.9672613","url":null,"abstract":"Many methods have been proposed for small-signal stability analysis of power-electronic-based power systems. As one common method, the sequence impedance model stands on that the disturbances are in the form of harmonics, which seems not consistent with the basic small-signal stability theory. In this paper, firstly small disturbances of any forms are applied to the three-phase voltage. By a rigorous Laplace transform, the $alphabeta$ impedance of the power electronic device is obtained, both in the form of transfer function matrix and complex transfer function. Then, the equivalence between the proposed model, the sequence impedance model, and the complex transfer function model are obtained. Finally, the open-loop response of a voltage source converter (VSC) and the stability of its grid connected system are verified by simulation. Based on the detailed analysis in the paper, it has been proved that the sequence impedance model is suitable for small-signal stability analysis of power-electronic-based power systems under not only harmonic disturbances but also any forms of disturbances, standing on a more rigorous mathematical basis.","PeriodicalId":153030,"journal":{"name":"2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117192785","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}