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2024 International Ural Conference on electrical Power engineering, UralCon 2024

作者： Soliman, Ismail A. Tulsky, Vladimir Abd El-Ghany, Hossam A. Tanta University Faculty of Engineering Electrical Power and Machines Engineering Department Tanta Egypt Engineering Institute NRU Moscow Power Electrical Power Systems Department Moscow Russia

ISBN: (纸本)9798350386028

The integration of electric vehicles in the transportation sector leads to lessening greenhouse gas emissions. It is mandatory to recharge electric vehicles as it depends on the battery storage system and due to the increase in electric vehicles models and numbers, there is a need for installing electric vehicles charging stations to meet new load needs that are considered as an overload. The unscheduled placement of electric vehicles charging stations harms the power grid and leads to poor power quality. This paper presents a proposed algorithm to optimally allocate electric vehicles charging stations in a distribution system. The allocation is based on minimizing the energy loss and maintaining the system voltage profile within limits. This is accomplished by considering a variable load profile and the charging/discharging profile of electric vehicles charging stations. To support system voltage, Vehicle-to-Grid mode is applied instead of using additional energy source. MATLAB/Simulink® software package and genetic algorithm are used to verify the proposed algorithm on a standard distribution network. The results prove the algorithm reliability as the system load is approximately doubled, and energy loss is barely slightly increased. © 2024 IEEE.

关键词： Charging stations

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Multimodal Price Prediction

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Annals of Data Science 2023年第3期10卷 619-635页

作者： Zehtab-Salmasi, Aidin Feizi-Derakhshi, Ali-Reza Nikzad-Khasmakhi, Narjes Asgari-Chenaghlu, Meysam Nabipour, Saeideh Computerized Intelligence Systems Laboratory Department of Computer Engineering University of Tabriz Tabriz Iran Department Computer and Electrical Engineering University of Mohaghegh Ardabili Ardabil Iran

Price prediction is one of the examples related to forecasting tasks and is a project based on data science. Price prediction analyzes data and predicts the cost of new products. The goal of this research is to achieve an arrangement to predict the price of a cellphone based on its specifications. So, five deep learning models are proposed to predict the price range of a cellphone, one unimodal and four multimodal approaches. The multimodal methods predict the prices based on the graphical and non-graphical features of cellphones that have an important effect on their valorizations. Also, to evaluate the efficiency of the proposed methods, a cellphone dataset has been gathered from GSMArena. The experimental results show 88.3% F1-score, which confirms that multimodal learning leads to more accurate predictions than state-of-the-art techniques. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Price prediction Multimodal learning Convolutional neural network Inception Classification Prediction Multimodal Price Deep learning Data science Mobile phone

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Design and Analysis of an Optical Fiber Network for Vehicles Sensing System

Design and Analysis of an Optical Fiber Network for Vehicles...

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2024 International Conference on electrical and Information Technology, IEIT 2024

作者： Adriansyah, Muhammad Athallah Natali, Yus Apriono, Catur Universitas Indonesia Faculty of Engineering Department of Electrical Engineering Depok Indonesia Telkom University Telecommunication Engineering Program Faculty of Engineering Jakarta Indonesia

ISBN: (纸本)9798331516888

The increasing number of accidents on toll roads, predominantly caused by human error, underscores the critical need for enhanced vehicular safety systems. This research introduces a novel optical fiber network design that utilizes polymer optical fiber (POF) as both a sensor and communication medium to significantly improve the reliability and response time of vehicle safety mechanisms. The system was carefully developed and simulated using OptiSystem software, incorporating key components such as a continuous-wave laser operating at 1310 nm, NRZ encoding, and a Mach-Zehnder modulator, all chosen for their ability to optimize data transmission and minimize signal degradation. Comprehensive simulations were conducted to evaluate the system's performance, focusing on parameters like bit error rate (BER), signal integrity, and response time. The results demonstrate that the proposed design achieves a Q factor of 5.2628, an output power of -14.049 dBm, and a rise time of 0.07 ns. Additionally, the system's power margin of 13.951 dB confirms its robustness and suitability for real-world implementation with the potential to be a viable solution for advancing vehicular safety technologies. © 2024 IEEE.

关键词： Continuous wave lasers

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A 4.5 μW Miniaturized 3-Channel Wireless Intra-Cardiac Acquisition System

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IEEE Transactions on Biomedical Circuits and systems 2023年第5期17卷 1097-1110页

作者： Rezaeiyan, Yasser Koolivand, Yarallah Zamani, Milad Shoaei, Omid Akbari, Meysam Moradi, Farshad Tang, Kea-Tiong Integrated Circuits and Electronics Laboratory Department of Engineering Aarhus University Aarhus8200 Denmark Electrical Engineering KN Toosi University of Technology Tehran15418-49611 Iran Bio-Integrated Systems Lab School of Electrical and Computer Engineering University of Tehran Tehran*** Iran Department of Electrical Engineering University of Kurdistan Sanandaj*** Iran Department of Electrical Engineering National TsingHua University Hsinchu30013 Taiwan

This article presents a chip designed for wireless intra-cardiac monitoring systems. The design consists of a three-channel analog front-end, a pulse-width modulator featuring output-frequency offset and temperature calibration, and inductive data telemetry. By employing a resistance boosting technique in the instrumentation amplifier feedback, the pseudo-resistor exhibits lower non-linearity, leading to a total harmonic distortion of below 0.1%. Furthermore, the boosting technique enhances the feedback resistance, leading to a reduction in the size of the feedback capacitor and, consequently, the overall size. To make the modulator's output frequency resilient to temperature and process changes, coarse and fine-tuning algorithms are used. The front-end channel is capable of extracting the intra-cardiac signal with an effective number of bits of 8.9, while exhibiting an input-referred noise of less than 2.7 μ Vrms, and consuming 200 nW per channel. The front-end output is encoded by an ASK-PWM modulator, which drives an on-chip transmitter at 13.56 MHz. The proposed System-on-Chip (SoC) is fabricated in a 0.18 μ m standard CMOS technology and consumes 4.5 μW while occupying 1.125 mm2. © 2023 IEEE.

关键词： Transmitters

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Enhanced electrical Properties of Styrene-grafted Polypropylene Insulation for Bulk Power Transmission HVDC Cables

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CSEE Journal of Power and Energy systems 2024年第1期10卷 361-370页

作者： Hao Yuan Shixun Hu Yao Zhou Chao Yuan Wenbo Song Qing Shao Hongwei Shi Juan Li Jun Hu Qi Li Jinliang He SINOPEC Beijing Research Institute of Chemical Industry Beijing 100013China State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

Polypropylene(PP)is considered to be a rather promising material for HVDC cable *** modification has proved to be an effective method on the electrical property improvements of *** paper reports on the highlyenhanced electrical properties of styrene-grafted polypropylene(PP-g-St)and their related *** influence of grafting styrene on crystallization structures,thermal properties and electrical properties of PP-g-St are characterized and *** results show that PP-g-St exhibits remarkably enhanced DC volume resistivity,suppressed space charge accumulation and improved DC breakdown strengths as compared to *** observation shows PP-g-St has small,imperfect spherulites with indistinct boundaries,which is strongly correlated to enhanced electrical *** study provides an effective grafting strategy to design high-performance HVDC cable insulation materials for bulk power transmission systems.

关键词： electrical properties grafting modification polypropylene styrene

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Reinforcement Learning with Enhanced Safety for Optimal Dispatch of Distributed Energy Resources in Active Distribution Networks

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Journal of Modern Power systems and Clean Energy 2024年第5期12卷 1484-1494页

作者： Xu Yang Haotian Liu Wenchuan Wu Qi Wang Peng Yu Jiawei Xing Yuejiao Wang the State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China the State Grid Shandong Electric Power Company Jinan 250000China

As numerous distributed energy resources(DERs)are integrated into the distribution networks,the optimal dispatch of DERs is more and more imperative to achieve transition to active distribution networks(ADNs).Since accurate models are usually unavailable in ADNs,an increasing number of reinforcement learning(RL)based methods have been proposed for the optimal dispatch ***,these RL based methods are typically formulated without safety guarantees,which hinders their application in real *** this paper,we propose an RL based method called supervisor-projector-enhanced safe soft actor-critic(S3AC)for the optimal dispatch of DERs in ADNs,which not only minimizes the operational cost but also satisfies safety constraints during online *** the proposed S3AC,the data-driven supervisor and projector are pre-trained based on the historical data from supervisory control and data acquisition(SCADA)system,effectively providing enhanced safety for executed *** studies on several IEEE test systems demonstrate the effectiveness and safety of the proposed S3AC.

关键词： Reinforcement learning(RL) safety constraint optimal dispatch active distribution network(ADN) distributed energy resource(DER)

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The Coordination Between TSO and DSO in the Context of Energy Transition - A Review 59

The Coordination Between TSO and DSO in the Context of Energ...

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59th International Universities Power engineering Conference, UPEC 2024

作者： Nguyen, Hang Kok, Koen Tran, Trung Thai Nguyen, Phuong H. Electrical Energy Systems Group Eindhoven University of Technology Department of Electrical Engineering Eindhoven Netherlands

ISBN: (纸本)9798350379730

Nowadays, energy transition is ongoing in many countries, aiming to reduce dependence on fossil fuels and CO2 emissions. Besides the positive impacts on the environment, this transition brings technical challenges to the system operators, such as the intricacies of energy system integration, diminishing uncertainty, and incentivizing customers with advanced transaction models. The coordination between the Transmission system operator (TSO) and the Distribution system operator (DSO) is one of the most important aspects of encountering these obstacles. This coordination enhances the utilization of flexibility from Distributed energy resources (DERs) by incentivizing the market parties with better willingness to pay schemes. This paper provides an overview of the coordination schemes (CS), their classification, assessment of the current situation and the challenges associated with applying these schemes in practical context. The main purpose is to investigate the most effective way for TSO/DSOs to use the flexibility resource to maintain the balancing of the entire system while ensuring no congestion occurs in the network. A broad range of possible coordination schemes along with exploiting flexibility services is presented and the pros and cons are analyzed. Additionally, the study presents a general scenario that describes the interaction between the operators and the third party in providing service to the balancing market, considering cases with and without coordination. © 2024 IEEE.

关键词： Distributed energy

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Fuzzy clustering for electric field characterization and its application to thunderstorm interpretability

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Digital Communications and Networks 2025年第2期11卷 299-307页

作者： Xu Yang Hongyan Xing Xinyuan Ji Wei Xu Witold Pedrycz School of Electronics and Information Engineering Nanjing University of Information Science and TechnologyNanjing 210044China Department of Electrical and Computer Engineering University of AlbertaEdmonton AB T6G 2R3Canada Systems Research Institute Polish Academy of Sciences00-901 WarsawPoland Department of Computer Engineering Faculty of Engineering and Natural SciencesIstinye University34010 IstanbulTurkey

Changes in the Atmospheric Electric Field Signal(AEFS)are highly correlated with weather changes,especially with thunderstorm ***,little attention has been paid to the ambiguous weather information implicit in AEFS *** this paper,a Fuzzy C-Means(FCM)clustering method is used for the first time to develop an innovative approach to characterize the weather attributes carried by ***,a time series dataset is created in the time domain using AEFS *** AEFS-based weather is evaluated according to the time-series Membership Degree(MD)changes obtained by inputting this dataset into the ***,thunderstorm intensities are reflected by the change in distance from a thunderstorm cloud point charge to an AEF ***,a matching relationship is established between the normalized distance and the thunderstorm dominant MD in the space ***,the rationality and reliability of the proposed method are verified by combining radar charts and expert *** results confirm that this method accurately characterizes the weather attributes and changes in the AEFS,and a negative distance-MD correlation is obtained for the first *** detection of thunderstorm activity by AEF from the perspective of fuzzy set technology provides a meaningful guidance for interpretable thunderstorms.

关键词： Atmospheric electric field(AEF) Thunderstorm Fuzzy C-means(FCM) Attribute

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Distributed Economic Dispatch with Valve-Point Effect via LPV-based Modified Incremental Cost Consensus Approach 25

Distributed Economic Dispatch with Valve-Point Effect via LP...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Moin, Muhammad Rehan, Muhammad Ahmed, Ijaz Ali, Amjad Khalid, Muhammad Department Of Electrical Engineering Islamabad Pakistan Irc For Sustainable Energy Systems Saudi Arabia Kfupm Electrical Engineering Department Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350340266

This research paper investigates a new distributed consensus-oriented optimization approach to minimize the fuel cost of distributed generation facilities subject to complex nonlin-ear valve-point effect. Valve-point effect occurs due to sequential opening of fuel control-valves, which causes ripples in the smooth quadratic cost function. To respond to this nonlinear optimization problem, a leaderless distributed consensus protocol is designed using modified incremental cost as a consensus variable along with linear parameter varying (LPV) modelling. Unlike existing techniques, the proposed approach is based on a multi-agent system framework, which appreciably reduces the communication and computation burden. The involved mathematical analysis unfolds that the optimal solution is attainable, when a consensus is achieved for modified incremental costs of all generation units and a constraint of balancing the supply and demand is validated. The convergence of modified incremental costs to a common value is illustrated using Lyapunov stability theorem and properties of algebraic graph theory. Simulations are carried out on a ten-unit benchmark test system, and the results show that the proposed approach is able to deal with the distributed economic dispatch subject to valve-point effect. © 2024 IEEE.

关键词： Multi agent systems

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Two-Stage Energy Management of Urban-Rail-Transit-based Micro Grid Integrated with EV

Two-Stage Energy Management of Urban-Rail-Transit-based Micr...

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2024 IEEE International Conference on electrical systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2024

作者： Dong, Hongzhi Tian, Zhongbei Spencer, Joseph W. University of Liverpool Department of Electrical Engineering and Electronics Liverpool United Kingdom University of Birmingham Department of Electronic Electrical and Systems Engineering Birmingham United Kingdom

ISBN: (纸本)9798350373905

The electric vehicle charging station (EVCS) has been widely constructed in urban areas, especially aside by urban railway transit (URT). This trend forms a novel energy integration of URT-based micro grid (URT-MG) with EVCS. To economically manage the energy flow of the URT-MG with EVCS, this research proposes a two-stage energy management, considering the substation operation cost and stability. First, a control strategy of URT-MG is proposed which can reduce the substation peak power. Then, a day-ahead energy management method is designed to reduce the system operation cost, based the forecast RES power and EV behaviour. In the second stage, a smart charging strategy of EVCS is proposed to meet the EV customer's travel demand in the actual operation. The proposed method is verified by simulation based on Merseyrail line in Liverpool, and the energy cost of traction substation is reduced by 23.4%. © 2024 IEEE.

关键词： Charge storage

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