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3rd international conference on Electrical engineering and control Science, IC2ECS 2023

作者： Zhang, Mingke Zhao, Yiran Liaoning Technical University Faculty of Electrical and Control Engineering Huludao China

ISBN: (纸本)9798350382426

Electric power operations have problems such as complex scenarios, frequent operations, and high-risk factors, which makes the research of intelligent on-site action monitoring methods crucial. Therefore, this paper proposes an improved YOLOv5 algorithm model for the accurate identification of power operation violations. Firstly, the YOLOv5 image recognition network is constructed and the spatial attention mechanism is fused in this algorithmic framework to effectively capture the global dependency between spatial features and characters, and to enhance the saliency of the target region in complex scenes;secondly, in the feature fusion stage, the multi-scale target recognition based on Bayes hyper-parameter optimization is constructed, to enhance the multi-target detection ability in the scene. Finally, this paper takes the operator's helmet, safety rope, and insulated safety suit worn in different operation scenes as the monitoring target of safe operation to carry out the verification of the improved algorithm, and analyses and verifies the effectiveness of the algorithm model. The experimental results show that the mAP accuracy of the proposed method in this paper is improved from 91.1 % to 95.1 % over the unoptimized YOLOv5 algorithm, the memory occupancy is reduced by 20.22%, and the monitoring speed is improved by 99.65%. © 2023 IEEE.

关键词： Electricity operations Multiscale targeting Spatial attention mechanism YOLOv5

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Transient Voltage Stability Analysis of Doubly-fed Induction Generator Based on Singularity Principle 3

Transient Voltage Stability Analysis of Doubly-fed Induction...

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3rd international conference on Energy engineering and Power Systems, EEPS 2023

作者： Zhang, Jianxin Yang, Huanhuan Qiu, Jian Xv, Guanghu Gao, Qin Jiang, Tuo Li, Peng Chen, Jvnquan Li, Jiqi Ke, Deping China Southern Power Grid Company Limited Power Dispatching Control Center Guangzhou China Guizhou Power Grid Company Limited Power Dispatching Control Center Guiyang China Wuhan University School of Electrical Engineering and Automation Wuhan China

ISBN: (纸本)9798350313857

As we all know, the transient voltage of the double-fed induction generator (DFIG) will lead to current saturation and then automatic off-grid, which is detrimental to the stability of the power grid under fault. With more occurrence of voltage instability accidents, the voltage stability of wind farms has been paid more attention. The singularity of differential algebraic equations (DAEs) is closely related to transient voltage instability. Jacobian matrix is generally used to judge the instability of the system in current study, but it is difficult to calculate in practice. Therefore, this paper studies the mechanism of transient voltage instability of DFIG from the perspective of DAEs mathematical model, deduces phase angle limit of DFIG, which can be used as a practical index to judge the stability of the system, and verifies that the phase-locked loop (PLL)is the key reason for the instability of grid following DFIG by simulation in Simulink. © 2023 IEEE.

关键词： Phase locked loops

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Load frequency regulation of a Standalone Microgrid using Firefly algorithm based Model Predictive control 3

Load frequency regulation of a Standalone Microgrid using Fi...

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3rd IEEE international conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Tudu, Ayan Kumar Nee Dey, Sunita Halder Paul, Subrata Jadavpur University Department of Electrical Engineering Kolkata India

ISBN: (纸本)9798350304732

This paper proposes a load frequency regulation approach of a standalone microgrid which is based on an optimized model predictive controller. The microgrid under investigation includes photovoltaic power generation, wind, diesel, fuel cells, and batteries as sources of energy. The ever-present imbalance between the generated electrical power and the load demand is responsible for the deviation of the frequency from its fixed values. This difference in generated electrical power and demand of electrical power is largely due to the infrequent nature of wind and solar power generation and load disruption in a standalone microgrid. It becomes important to control the frequency under the intermittent nature of power generation. The model predictive control technique is an advanced method that gives an improved frequency regulation in a standalone microgrid over the conventional frequency regulation methods. In this paper, the diesel generator unit and fuel cell unit present in the standalone microgrid control the load frequency, the inputs of which are controlled by a Model Predictive controller whose parameter is optimized by the Firefly algorithm. © 2023 IEEE.

关键词： controllable power generating unit Firefly algorithm load frequency control Microgrid model predictive control

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Human Robot Interaction: Identifying Resembling Emotions Using Dynamic Body Gestures of Robot 3

Human Robot Interaction: Identifying Resembling Emotions Usi...

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3rd IEEE international conference on Artificial Intelligence, ICAI 2023

作者： Ali, Sara Mehmood, Faisal Iqbal, Khawaja Fahad Ayaz, Yasar Sajid, Muhammad Sial, Muhammad Baber Malik, Muhammad Faiq Javed, Kashif Department of Robotics and Artificial Intelligence Islamabad Pakistan National University of Sciences and Technology H-12 Department of Robotics and Artificial Intelligence Islamabad Pakistan National University of Sciences and Technology H-12 Islamabad Pakistan School of Automation Science and Electrical Engineering Beihang University Beijing100191 China

ISBN: (纸本)9798350322125

Natural social interaction between a human and robot requires perception ability of robot for complex social behaviors and in turn displaying the learnt emotional behavior during interaction. The emotions expressed with body language are one of the key parameters during Human-Robot Interaction (HRI). This research focuses on extending the concept of affective non-verbal human-robot interaction using full body gestures for closely resembling emotion in absence of intricate facial expressions. The movements of head, torso, legs, and arms are used to link body movements and gestures of a bi-pedal humanoid robot with 28 closely resembling emotions. Variation of speed, frequency, and joint angles of the robot are the key features used for expressing a specific emotion. This research uses Russell's circumplex model to define 8 primary emotional categories which are further grouped into closely associated emotions resembling each other. 33 participants were involved in experimentation to authenticate different emotions using body gestures of robot. Each participant performed 28 trials in which emotions were displayed at random to recognize the state of robot. The results showed an average accuracy of 79.69%. The study authenticates that perceived emotions are highly dependent on body movements, postures, and selected features. This design model can therefore be used for even conveying the closely resembling emotions. © 2023 IEEE.

关键词： Anthropomorphic robots

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Optimized control Strategy for Distributed Electric Heating System Considering User Comfort Level 3

Optimized Control Strategy for Distributed Electric Heating ...

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3rd international conference on Energy, Power and Electrical engineering, EPEE 2023

作者： Zhou, Feng Li, Yunhui Zhu, Jie Hao, Ting Qiao, Jun Peng, Yang Hu, Heng Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Guangdong Power Grid Corporation Huizhou Power Supply Bureau Company Huizhou China Shandong University of Science and Technology College of Economics and Management Qingdao China State Grid Heilongjiang Electric Power Company Limited Harbin China

ISBN: (纸本)9798350318180

To address wind curtailment, a method of wind power consumption based on electric heating is proposed, through the predictive analysis of the user's indoor and outdoor temperatures on a certain day, the characteristics of the wind-thermal power output and the building's heat preservation performance, etc., to obtain the change rule of the development of the user's indoor temperature in the future period, and to predict the calculation of the energy required for heat supply. Therefore, the excess wind power is effectively consumed while ensuring the comfort of users. Simulation results show that compared with the optimization before the strategy can significantly improve the wind power consumption capacity, and provide an effective solution for solving the current curtailment problem. © 2023 IEEE.

关键词： distributed electric heating system temperature lever wind curtailment wind power consumption

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Study on HGR by Using Machine Learning 3

Study on HGR by Using Machine Learning

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3rd international conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Sharma, Anand Kumar Suresh Kumar, A. Nagpal, Amandeep Singh, Rajesh Reddy, Dasari Veera Chadha, Anupama Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology Department of Information Technology Hyderabad India Graphic Era Deemed to Be University Department of CSE India Lovely Professional University Phagwara India Uttaranchal University Uttaranchal Institute of Technology India SR University School of Computer Science and Artificial Intelligence Warangal Telangana India Manav Rachna International Institute of Research and Studies Department of Computer Applications Haryana Faridabad India

ISBN: (纸本)9798350399264

The medical field and other research areas fields heavily rely on artificial intelligence (AI) and machine learning (ML). Hand gesture recognition (HGR), which is a straightforward approach for interacting with machines, has drawn the attention of numerous researchers in the context of AI. Utilizing ML technique, HGR is carried out. Both the image technique and the design approach are parts of it. In the image technique, the hand picture is rebuilt utilizing the attributes of the images. However, when using the model-based approach, the image is recreated using many models, including volumetric, geometric, and others. The key difficulty in gesture control continues to be the ML individual's complexity and preparation time. Its accuracy is used to assess the HGR accuracy. Its precision is used to assess the HGR overall system performance. The many techniques and algorithms utilized in gesture control are covered in detail inside this work. © 2023 IEEE.

关键词： Machine learning

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Multi-state traction control of regional CCHP system

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ENERGY REPORTS 2023年 9卷 1081-1090页

作者： Tao, Bao Wang, Pengyu Zhang, Zihao Chen, Wenhao Wu, Mian Yang, Ping Yao, Jingsen Chen, Yansen Digital Grid Res Inst China Southern Power Grid Co Guangzhou 510630 Peoples R China Guangdong Key Lab Clean Energy Technol Guangzhou 510630 Peoples R China

The existing optimization scheduling of regional CCHP system does not take into account the different control objectives and response characteristics of each unit under multiple operating states in the whole operation domain, so it is difficult to achieve the unified traction control of multiple operation stages of multiple units. To this end, this paper proposes a unified traction control strategy for multi-state operation of regional CCHP system. Based on the different control objectives and response characteristics CCHP unit under multiple states, a two-layer traction control strategy of the regional CCHP system and unit was established. The upper level takes into account the different control objectives and response characteristics of each unit under different operating states, and optimizes the target operating state of each traction unit. The lower level realizes the efficient traction control of each unit under the target operating state based on the optimization decision results. Finally, a simulation example is designed to verify that this paper can effectively consider the different control objectives and response characteristics of CCHP unit under different operating states to achieve the optimal traction control. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CCBY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Traction control CCHP system Multiple operation states Fuzzy control

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Intelligent Decision Support System for Assessing Works with Free Response based on Production Model 3

Intelligent Decision Support System for Assessing Works with...

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3rd international conference on Technology Enhanced Learning in Higher Education, TELE 2023

作者： Latypova, Viktoriya Ufa University of Science and Technology The Faculty of Informatics and Robotics Ufa Russia

ISBN: (纸本)9798350326567

Works with free response are usually used in training, as well as in engineering education. These works assessment faces a lot of challenges, especially in conditions of online learning. The use of criteria system underlies the formation of a score for work with free response. In the case of works like essays the assessment can be made without the participation of expert-tutor by means of automated essay scoring systems. In the other cases his engagement is required, and the assessment takes place usually manually with the use of a rubric. This procedure is very long and labour-intensive for tutors, particularly with the large number of works, which are to be assessed as quickly as possible. The challenge is further amplified by iterativeness of assessment procedure which is typical, for example, to term papers, productive and pre-diploma practice reports actively used in engineering education when students are as close as possible to real tasks implementation. Another question arises, because work assessment is carried out without consideration for work correction characteristics, that is why a formed score is inaccurate. A student work with free response assessment model based on production model that takes into account the efficiency of work correction made by student, and whose application allows to ease the formation of a score for work with free response, is proposed in the paper. The assessment model is implemented in an intelligent decision support system, which was used in assessing pre-diploma practice reports in Ufa State Aviation Technical University during online learning. © 2023 IEEE.

关键词： Decision support systems

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Performance Evaluation of Bridgeless Buck-boost LED Driver Circuit with Linear Active Disturbance Rejection control 3

Performance Evaluation of Bridgeless Buck-boost LED Driver C...

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3rd IEEE international conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Dahiya, Shradhanand Garg, Man Mohan Mani, Kumar Sourabh Narsimharaju, B.L. Rathore, Akshay Kumar Mnit Jaipur Department of Electrical Engineering India NIT Warangal Department of Electrical Engineering India Singapore

ISBN: (纸本)9798350319972

Light emitting diode (LED) based illumination has outshone its conventional alternatives because of its advantages. While operating the LEDs from an AC power supply, LED driver circuits should ensure that the supply current is drawn at unity power factor (UPF) along with the supply of a regulated current to the load. This paper discusses a bridgeless buck-boost power factor correction (BL-BBPFC) topology, which can provide an output voltage varying over a range both higher or lower than the peak supply voltage. It is considered that the topology operates in the discontinuous current conduction mode (DCM), which reduces the control complexity to a single loop control. Further, a linear active disturbance rejection control (LADRC) scheme is used for the regulation of the load. In this scheme, the control law is formulated using the estimated states of the system. The modeling uncertainties and external disturbances are eliminated using an extended state observer (ESO). The work presented here extends the concept of LADRC to the power factor correction (PFC) circuits and evaluates performance based on time and frequency domain parameters. © 2023 IEEE.

关键词： Light emitting diodes

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Day-ahead Unit Commitment Incorperating Deep Peak Regulation 3

Day-ahead Unit Commitment Incorperating Deep Peak Regulation

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3rd international conference on Energy engineering and Power Systems, EEPS 2023

作者： Xiao, Yang Ding, Tao Liu, Yuzheng Zhang, Biyuan Su, Bo Guo, Xiaorui Xi'an Jiaotong University School of Electrical Engineering Xi'an China State Grid Ningxia Electric Power Co. Ltd Center of Electric Power Control Yinchuan China China Electric Power Research Institute Electric Power Automation Department Beijing China

ISBN: (纸本)9798350313857

To give the potential regulation capacity of the thermal power generator for renewable energy integration by peak regulation, this paper has investigated in developing a comprehensive model for day-ahead unit commitment, taking into account deep peak regulation. Specifically, the investigation entails dividing the peak regulation into distinct modes and establishing corresponding operational cost functions. Subsequently, a mixed-integer linear programming model is presented for power scheduling, leveraging the defined cost function. To validate the effectiveness of the proposed model and highlight the superiority of deep peak regulation in accommodating renewable energy sources, a modified IEEE-118 case has been conducted. © 2023 IEEE.

关键词： Cost functions

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