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CIRED 2024 Vienna Workshop

作者： Panagi, Savvas Lazari, Antonis Koutsoloukas, Vrahimis Aristidou, Petros Department of Electrical Engineering Computer Engineering and Informatics Cyprus University of Technology Limassol Cyprus Transmission System Operator of Cyprus Cyprus

ISBN: (纸本)9781837242672

System operators in low-inertia power systems often have to curtail renewable energy sources (RES) and employ strict under-frequency load shedding (UFLS) schemes to ensure frequency security after an event leading to loss of generation. This approach limits the maximum RES penetration in a system and results to the loss of load. To tackle these problems, fast frequency response (FFR) schemes can be used to limit the frequency Nadir after a disturbance and decrease the need for RES curtailments and UFLS. This article provides insights on the interaction between the Kinetic Energy (KE), Frequency Containment Reserves (FCR), and Nadir after a disturbance, which are the driving mechanisms leading to RES curtailment. Then, it analyses the impact of FFR on the Nadir and its ability to alleviate RES curtailment problems. The low-inertia, islanded, Cyprus dynamic model is used to quantify the results and showcase the impact on a real system. © The Institution of engineering & technology 2024.

关键词： Electric load shedding

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Combining MobileNetV1 and Depthwise Separable convolution bottleneck with Expansion for classifying the freshness of fish eyes

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Information Processing in Agriculture 2022年第4期9卷 485-496页

作者： Eko Prasetyo Rani Purbaningtyas Raden Dimas Adityo Nanik Suciati Chastine Fatichah Department of Informatics Engineering FacultyUniversitas Bhayangkara SurabayaJl.Ahmad Yani 114Surabaya 60234Indonesia Department of Informatics Faculty of Intelligent Electrical and Informatics TechnologyInstitut Teknologi Sepuluh NopemberJl.Raya ITSSurabaya 60111Indonesia

Image classification using Convolutional Neural Network(CNN)achieves optimal perfor-mance with a particular *** reduces the parameter number for learning features by switching from the standard convolution paradigm to the depthwise separable convolution(DSC)***,there are not enough features to learn for identify-ing the freshness of fish ***,minor variances in features should not require complicated CNN *** this paper,our first contribution proposed DSC Bottle-neck with Expansion for learning features of the freshness of fish eyes with a Bottleneck *** second contribution proposed Residual Transition to bridge current feature maps and skip connection feature maps to the next convolution *** third contribu-tion proposed MobileNetV1 Bottleneck with Expansion(MB-BE)for classifying the freshness of fish *** result obtained from the Freshness of the Fish Eyes dataset shows that MB-BE outperformed other models such as original MobileNet,VGG16,Densenet,Nasnet Mobile with 63.21%accuracy.

关键词： Depthwise separable convolution Bottleneck Classification Freshness Fish eye Residual transition

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Modeling PV-Wind-Battery Hybrid System for Guest House in Matakus Island 4

Modeling PV-Wind-Battery Hybrid System for Guest House in Ma...

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4th International Conference on High Voltage engineering and Power Systems, ICHVEPS 2023

作者： Padmadewi, Ayu Laksmi Halimi, Burhanuddin Sihite, Lasro P Bandung Institute of Technology Electrical Power Engineering School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350318678

Renewable energy sources, such as solar and wind energy, present a practical option for fulfilling the electricity generation needs, particularly in areas without electricity access, like Matakus Island. This island has significant potential for utilizing renewable energy, particularly solar and wind energy, due to its coastal location. With an average Global Horizontal Irradiation (GHI) of 6.03 kWh/m2/day and an average wind speed of 6.3 m/s, Matakus Island is well-suited for utilizing these resources. To assess the stability of the proposed Hybrid Power Plant system, modeling is conducted using MATLAB/Simulink. These software tools allow for the evaluation and simulation of the system's performance under various conditions, ensuring its stability and reliability. The economic analysis of the hybrid power plant is carried out using HOMER Pro, which aids in determining the overall cost-effectiveness of the system. It optimizes the configuration by considering components such as PV panels, wind turbines, batteries, and diesel generators, to find the most economically efficient setup for the hybrid power plant. The electrical system, consisting of an 18.7 kW PV system, a 3kW wind turbine, and a 54 kWh battery, has a Cost of Energy (COE) of Rp. 7,467/kWh, achieves a 100% Renewable Fraction (RF), and results in total annual savings of Rp. 38.1 million. In contrast, relying solely on pure diesel generators leads to a higher COE of Rp. 10,990/kWh, a 0% RF, and generates CO2 emissions of 16, 75Skg/year. The COE using the PV-Wind-battery hybrid system is 32% cheaper than using a diesel generator, demonstrating the significant cost advantage of the hybrid system. By implementing a hybrid power plant that combines solar and wind energy with battery storage, Matakus Island can achieve stable and cost-effective electricity generation. This transition to renewable energy not only reduces reliance on expensive and polluting diesel generators but also contributes to a cleaner and

关键词： Wind

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Solar PV-Wind-Genset Hybrid Power Generation System for A Commercial Building in Remote Area 8

Solar PV-Wind-Genset Hybrid Power Generation System for A Co...

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8th International Conference on Instrumentation, Control, and Automation, ICA 2023

作者： Padmadewi, Ayu Laksmi Pratiwi, Ema Widhi Halimi, Burhanuddin Bandung Institute of Technology Electrical Power Engineering School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350301274

Hybrid Power Generation Plant (in Bahasa: Pembangkit Listrik Tenaga Hibrida-PLTH) provide more efficient, effective, and reliable solutions for electricity production to meet the community's energy needs. To assess the effectiveness of the Hybrid Power Plant (PLTH) at guest houses on Matakus Island, modeling was conducted using the HOMER Pro software for planning and analysis simulations to determine the optimal configurations to meet the electricity needs. Based on the simulation results using Homer, if the guest house in Matakus requires 27 kWh of power on weekdays and 36.12 kWh on weekends, when relying solely on diesel fuel, the levelized cost of electricity (LCOE) value is Rp. 10,990, with CO2 emissions of 16,758 Kg/year and fuel consumption of 6,401 L/year, as well as a zero share of renewable energy (RE). If only the PV-wind turbine configuration is used, the LCOE value is Rp. 7,467, with no CO2 emissions per year because fuel oil is not used, resulting in a 100% share of renewable energy (RE). The PV-Wind Turbine-Genset configuration has an LCOE value of Rp. 4,562, which is cheaper than the other two configurations, with CO2 emissions of 1,441 Kg/year, fuel consumption of 550 L/year, and an RE share of 85.3%. © 2023 IEEE.

关键词： Wind turbines

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Big Data Analysis using Elasticsearch and Kibana: A Rating Correlation to Sustainable Sales of Electronic Goods

HighTech and Innovation Journal

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HighTech and Innovation Journal 2023年第3期4卷 583-591页

作者： Henderi, Henderi Irawatia, Ranty Indra, Indra Dewi, Deshinta Arrova Kurniawan, Tri Basuki Department of Informatics Engineering University of Raharja Indonesia Informatics Technical Department Universitas Budi Luhur Indonesia Faculty of Data Science and Information Technology INTI International University Nilai Malaysia Faculty of Science and Technology Universitas Bina Darma Indonesia Faculty of Technology and Information Science Universiti Kebangsaan Malaysia Malaysia

Big data collection involves enormous amounts of raw data. To boost the sustainability of corporate value and support business intelligence and decision-making systems, in-depth data analysis is necessary. The data storage, analysis, and visualization methods, as well as the discovery of patterns and linkages, all depend on extensive data analysis. This study aims to process datasets to learn things like how ratings impact market sales transactions and how much of an impact factor connected to consumers and items have on ratings. Elasticsearch and Kibana were used for the dataset processing. This study evaluated traits related to the test parameters using a variety of test procedures. The product is scored as a representation of the product types involved in the sales transaction, and the name is assessed as a reflection of the customer. Kibana and Elasticsearch, a full-text search engine, were used in this work to do extensive data analysis on data sets. It is a visualization tool that is employed in a controlled environment to evaluate how ratings impact market exchanges for electronic goods, and it offers suggestions. The study found a substantial relationship between electronic product sales on the Amazon marketplace from 2012 to 2018. It suggested the importance of buyer constituents as users and how different product categories relate to ratings in business transactions. © 2023, Ital Publication. All rights reserved.

关键词： Decision making

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Design and Implementation of Low Cost Air Quality Monitoring System Using Gateway and Cloud Server

Design and Implementation of Low Cost Air Quality Monitoring...

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2023 International Conference on Electrical engineering and informatics, ICEEI 2023

作者： Sutirta, Kelvin Hasibuan, Muhammad Izzatul Fauzan Hermesha, Wiennetou Joel Muchtar, Elvayandri Sutisna, Nana School of Electrical Engineering and Informatics Bandung Institute of Technology Electrical Engineering Major Bandung Indonesia

ISBN: (纸本)9798350381290

This paper proposes a Low-Cost Air Quality Monitoring system using LoRa. Our system aims to monitor air pollutants, temperature, humidity, and assess the development of microorganisms in Bandung City. Our objective is to provide an affordable and efficient solution for monitoring air quality in urban areas. By utilizing LoRa technology, our system enables real-time data transmission and analysis, allowing for timely interventions to improve air quality. In addition, we consider the low-cost implementation and real-time data transmission by employing LoRa communication for data transmission. The system integrates various subsystems, including Cloud Database, Cloud Data Processing, Graphical User Interface, and the Access Point subsystem with Buffer Manager and Server Communication modules. This integration enables seamless data storage, processing, and visualization, ensuring user-friendly and convenient access to air quality information. We evaluated our system using the UEQ Handbook, and it received an average score of 1.468 on a scale of -3 to 3, indicating high usability and user satisfaction. In conclusion, our proposed Low-Cost Air Quality Monitoring System using LoRa demonstrates its effectiveness in providing real-time air quality data to users. The system's affordability, user-friendly interface, and reliable data transmission make it a valuable tool for both individuals and authorities in monitoring and improving air quality. For future works, we suggest expanding the system's geographical coverage, integrating additional pollutant sensors, and enhancing data analytics capabilities for more comprehensive air quality analysis. © 2023 IEEE.

关键词： Graphical user interfaces

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A New RISC-V CPU for Safety-Critical Systems 12

A New RISC-V CPU for Safety-Critical Systems

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12th Mediterranean Conference on Embedded Computing, MECO 2023

作者： Mach, Jan Kohutka, Lukas Cicak, Pavel Institute of Computer Engineering and Applied Informatics Slovak University of Technology Bratislava842 16 Slovakia Institute of Informatics Information Systems and Software Engineering Slovak University of Technology Bratislava842 16 Slovakia

ISBN: (纸本)9798350322910

In this paper, we propose a novel hardening technique against Single Event Effects, which enables high-frequency operation and does not cause large power consumption and area overhead. The protection is based on redundancy, separation of the pipeline into two main sections, and is fully applicable at Register Transfer Level. It provides fast detection of faults, simple recovery by a flush of the pipeline, and allows a large prediction unit to be unprotected. We present the protection scheme at the core with the RISC-V instruction set. Simulations confirm that the protection can handle the injected faults. Synthesis shows that protection lowers the maximum frequency by only 3.9%. The area increase is only 108% and can be even lower. Total power consumption increased by 119%. © 2023 IEEE.

关键词： Pipelines

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Synergistic degradation of Tris (2-Chloroethyl) Phosphate (TCEP) by US/Fenton system: Experimental, DFT calculation and toxicity evaluation

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Environmental Science and Pollution Research 2024年第27期31卷 39120-39137页

作者： Zhang, Lucheng Wang, Tingting Zhang, Mingqing Liu, Qi She, Yi Wu, Shilong Liu, BingFeng School of Environment and Spatial Informatics China University of Mining & ampTechnology Xuzhou221116 China School of Low-Carbon Energy and Power Engineering China University of Mining & ampTechnology Xuzhou221116 China

Organophosphorus esters (OPEs), exemplified by tris (2-chloroethyl) phosphate (TCEP), find extensive application in diverse industries such as construction materials, textiles, chemical manufacturing, and electronics, consequently resulting in an increased concentration of these compounds in industrial wastewater. The fundamental objective of this investigation was to examine the degradation of TCEP through the implementation of US/Fenton oxidation techniques in a solution. The findings revealed that the US/Fenton system effectively facilitated the degradation of TCEP, with the Chan kinetic model precisely elucidating the degradation process. Under optimized reaction conditions, the degradation efficiency of TCEP reached an impressive 93.18%. However, the presence of common co-existing aqueous substrates such as Cl−, HCO3−, H2PO4−, and HA hindered the degradation process. Bursting tests and electron paramagnetic resonance (EPR) studies affirmed ∙OH oxidation as the principal mechanism underlying TCEP degradation. Detailed degradation pathways for TCEP were established through the utilization of density-functional theory (DFT) calculations and GC/MS tests. Moreover, the ecotoxicological evaluation of TCEP and its intermediates was conducted using the Toxicity Estimation Software Tool (T.E.S.T.). © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Toxicity

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Fractional Programming Strategy for Rate-Energy Optimization in RIS-assisted SWIPT IoT Networks

Fractional Programming Strategy for Rate-Energy Optimization...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Sharma, Neha Gautam, Sumit Kaushik, Aryan Chatzinotas, Symeon Ottersten, Bjorn Indian Institute of Technology Department of Electrical Engineering Indore India Luxembourg University of Sussex School of Engineering and Informatics United Kingdom

ISBN: (纸本)9798350351255

This paper addresses the challenge of balancing conflicting goals, namely data rate and energy harvesting (EH) in Simultaneous Wireless Information and Power Transfer (SWIPT) systems, while incorporating Reconfigurable Intelligent Surface (RIS) technology. We formulate a weighted optimization objective to address this issue, seeking to simultaneously maximize data rate, EH, and minimize transmit power utilization. The proposed approach involves optimizing time switching (TS) ratios and transmit power using a practical phase-dependent amplitude model for each RIS element's reflectivity. To address this complex optimization problem involving ratio of concave-convex problem, the paper introduces fractional programming-based modified Dinkelbach Algorithm providing upper and lower bounds, which are then compared with Quadratic transform-related algorithms and solutions based on Karush-Kuhn-Tucker (KKT) conditions. Numerical findings highlight the effectiveness of the proposed algorithms in enhancing the overall performance of SWIPT systems with RIS technology. © 2024 IEEE.

关键词： Convex optimization

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Adaptive Traffic Light Controller with Reinforcement Learning for Reducing Traffic Congestion

Adaptive Traffic Light Controller with Reinforcement Learnin...

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2024 IEEE Region 10 Conference, TENCON 2024

作者： Dwizarah, Anisa Reswara, Jalu Syafalni, Infall Sutisna, Nana Adiono, Trio School of Electrical Engineering and Informatics Bandung Institute of Technology Indonesia University Center of Excellence on Microelectronics Bandung Institute of Technology Indonesia

ISBN: (纸本)9798350350821

Reinforcement Learning is a machine learning method that has been adopted in smart traffic lights to reduce traffic congestion effectively. The algorithm is employed as an agent, like a traffic police officer, that can manage traffic jams with the intelligent capability. In this paper, we revisit the basic Q- Learning method applied to adaptive traffic lights by proposing systematic state-action definition, formulating reward policy, and evaluating the performance. The proposed method basically aims to adjust the duration of green lights at each intersection according to the level of congestion at that intersection dynamically, hence, can adapt with traffic condition. Simulation results confirm that the propose method works effectively in managing traffic congestion by maintaining vehicle queue length almost constant at around 40 vehicles queue, offering an improvement from the conventional method that give growth in queue more than 60 vehicles. In the future, we plan to implement the proposed work in an embedded hardware systems to address the real-time performance requirement. © 2024 IEEE.

关键词： Traffic congestion

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