Viser treff 21-40 av 191

    • Impact of Inverter Based Resources on System Stability in Low Inertia Power System Network 

      Zafar Raja, Hasnain (Master thesis; Mastergradsoppgave, 2023-05-20)
      Inverter-based resources (IBRs), such as solar and wind power are gaining popularity because of their increasing acceptance, environmental benefits and decreasing costs. However, their integration into power systems can lead to significant impacts on system inertia and frequency stability, which are crucial for maintaining the reliability of the power grid. In traditional power systems, the synchronous ...
    • Time Series Forecasting of Reactive Power Support from Smart Converters in SDN Using Machine Learning 

      Aziz, Mujtaba (Master thesis; Mastergradsoppgave, 2023-05-19)
      The climate changes in the last few years created a major need to integrate more renewable energy sources and other low-carbon technologies into the power system network. This causes to face more changes in the power system network, which are particularly visible in distribution power networks. A higher penetration of the distributed energy resources, installed at low- voltage and or medium-voltage ...
    • Modelling and simulation of interaction forces in tugboat-assisted docking of large marine vessels 

      Kristiansen, Raymond; Ørke, Henning; Gravdahl, Jan Tommy (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-22)
      In this paper, we address modelling and simulation of dynamics involved in docking of large marine vessels with aid of tugboats, with the aim of providing a tool for improved design of control algorithms for autonomous docking operations. Mathematical models of the docking vessel and tugboats in 3DOF are derived, with a special focus on realistic interactions through towline, contact and friction ...
    • A Novel Technique to Mitigate the Overlap-Time Effect in Current Source Inverters 

      Sohail, Umer; Østrem, Trond; Hoff, Bjarte (Chapter; Bokkapittel, 2023-08-31)
      Generally, the current source inverter is considered more reliable than the voltage source inverter due to the presence of inductor as an energy storage element on the DC link, but a disruption in the inductor current could significantly risk its reliability. To guarantee the reliable operation of current source inverter, an overlap time must be added to the gate signals of its switches. This ensures ...
    • Co-simulation-based optimal reactive power control in smart distribution network 

      Wagle, Raju; Pham, Le Nam Hai; Tricarico, Gioacchino; Sharma, Pawan; Rueda, Jose Luis; Gonzalez-Longatt, Francisco (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-30)
      The increasing integration of distributed energy resources such as photovoltaic (PV) systems into distribution networks introduces intermittent and variable power, leading to high voltage fluctuations. High PV integration can also result in increased terminal voltage of the network during periods of high PV generation and low load consumption. These problems can be solved by optimal utilization ...
    • A Co-simulation Procedure for Optimal Reactive Power Control in Active Distribution Networks 

      Tricarico, Gioacchino; Wagle, Raju; Martinez, Jesus Castro; Gonzalez-Longatt, Francisco; Dicorato, Maria; Forte, Giusenne; Rueda, Jose Luis (Chapter; Bokkapittel, 2023)
      Distribution grids are subject to a drastic evolution in their operating conditions due to the high integration of renewable energy resources (RES) and their ability to regulate voltage. To cope with this issue, modern solar photovoltaic (PV) systems are equipped with smart inverters enabled with communication capabilities that allow the coordinated operation to offer services such as controlling ...
    • Modelling and analysis of long cables on the generator side of generator transformers 

      Jørgensen, Kjetil N. (Master thesis; Mastergradsoppgave, 2023-05-22)
      Denne oppgaven presenterer en studie om modellering og analyse av lengre kraftkabler på generatorsiden av en enhetstransformator i et generisk kraftsystem. Studien fokuserer på det teoretiske rammeverket som er nødvendig for å forstå problemet. De teoretiske delene inkluderer grunnleggende elektriske sannheter og deres effekter på hovedkomponentene i et kraftsystem. Den gjenværende teorien ...
    • A Two-Stage Deep Modeling Approach to Articulatory Inversion 

      Sabzi Shahrebabaki, Abdolreza; Olfati, Negar; Imran, Ali Shariq; Johnsen, Magne Hallstein; Siniscalchi, Sabato Marco; Svendsen, Torbjørn Karl (Chapter; Bokkapittel, 2021-05-13)
      This paper proposes a two-stage deep feed-forward neural network (DNN) to tackle the acoustic-to-articulatory inversion (AAI) problem. DNNs are a viable solution for the AAI task, but the temporal continuity of the estimated articulatory values has not been exploited properly when a DNN is employed. In this work, we propose to address the lack of any temporal constraints while enforcing a ...
    • Load modeling from smart meter data using neural network methods 

      Kianpoor, Nasrin; Hoff, Bjarte; Østrem, Trond (Chapter; Bokkapittel, 2021)
      Electricity load modeling plays a critical role to conduct load forecasting or other applications such as non-intrusive load monitoring. For such a reason, this paper investigates a comparison study of two common artificial neural network methods (Multilayer perceptron (MLP) and radial basis function neural network (RBF-NN) for home load modeling application. The accuracy of load modeling using ...
    • Classification of Bulk Cargo Types Stored Openly at Ports Using CNN 

      Koirala, Madhu; Ellingsen, Pål Gunnar; Ådland, Roar Os (Chapter; Bokkapittel, 2023)
      In this paper, we present a novel concept of tracking cargoes at open ports using remote sensing images and convolution neural network (CNN) to classify various dry bulk commodities. The dataset used is prepared using Sentinel-2 atmospherically corrected (Sentinel-2 L2A) images covering 12 spectral bands. There are total 4995 labeled and geo-referenced images for four different cargoes-bauxite, ...
    • Elektrifiering av hamna 

      Hoff, Bjarte (Conference object; Konferansebidrag, 2020)
    • Ny flåte og elektrifisering – Eksempel på grøne løysingar og utviklinga i dag 

      Hoff, Bjarte (Conference object; Konferansebidrag, 2020)
    • Path planning for UAV harvesting information from dynamical wireless sensor nodes at sea 

      Ho, Tu Dac; Grøtli, Esten Ingar; Johansen, Tor Arne (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-16)
      A system of several wireless sensor nodes and one unmanned aerial vehicle (UAV) is considered in this research. The nodes are only floating and drifting with the sea stream. The UAV will be operating as a data mule to gather sensing information from wireless sensor nodes. Unlike prior studies, this paper addressed a realistic ocean model for the nodes movements which will be the references to the ...
    • Investigation of wireless electrification for a reconfigurable manufacturing cell 

      Al-Sallami, Hussein Mahdi Yaseen; Arnarson, Halldor; Solvang, Bjørn; Bremdal, Bernt Arild (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-24)
      Reconfigurable manufacturing systems (RMS) with a rearrangeable structure can quickly adjust their productivity to meet the dynamic market changes and the demand for high-variety products. Industry 4.0 technologies have enhanced the RMS flexibility and made the automation of the reconfiguration of the manufacturing system possible. As an Industry 4.0 technology, wireless power transfer (WPT) can ...
    • Deep Adaptive Ensemble Filter for Non-Intrusive Residential Load Monitoring 

      Kianpoor, Nasrin; Hoff, Bjarte; Østrem, Trond (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-10)
      Identifying flexible loads, such as a heat pump, has an essential role in a home energy management system. In this study, an adaptive ensemble filtering framework integrated with long short-term memory (LSTM) is proposed for identifying flexible loads. The proposed framework, called AEFLSTM, takes advantage of filtering techniques and the representational power of LSTM for load disaggregation by ...
    • Design Considerations of Capacitive Power Transfer Systems 

      Al-Sallami, Hussein Mahdi Yaseen; Hattori, Reiji; Hoff, Bjarte; Uezu, Anyu; Akiyoshi, Katsumi (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-07)
      Capacitive power transfer (CPT) is a near-field wireless power transfer (WPT) technology that has attracted attention in different charging applications. By utilizing electric fields, CPT gives charging systems advantages in terms of cost, weight, flexibility, and mobility. This paper surveys a number of empirical published works in a period between 2015 and 2023. Additionally, it discusses theoretical ...
    • TRACKING VOLUME CHANGE OF THE BULK COMMODITIES WITH INTERFEROMETRIC SAR 

      Wu, Zhenming; Ellingsen, Pål Gunnar; Jia, Haiying; Ådland, Roar Os (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      Bulk commodities are crucial to global economy and modern society. Some commodities, such as grain, are normally stored in cylindrical tanks. The height of the tank’s roof may be correlated to the substance quantity inside the tank, indicating that roof displacement may be associated with the volume of the bulk commodities. Here we analyzed the displacements derived from C-band Sentinel-1 data ...
    • Comparative Analysis of Deep Learning and Statistical Models for Air Pollutants Prediction in Urban Areas 

      Naz, Fareena; McCann, Conor; Fadim, Muhammad; Cao, Tuan-Vu; Hunter, Ruth; Nguyen, Trung Viet; Nguyen, Long D.; Duong, Trung Q. (Journal article; Tidsskriftartikkel, 2023-06-23)
      Rapid growth in urbanization and industrialization leads to an increase in air pollution and poor air quality. Because of its adverse effects on the natural environment and human health, it’s been declared a “silent public health emergency”. To deal with this global challenge, accurate prediction of air pollution is important for stakeholders to take required actions. In recent years, deep learning-based ...
    • Study and Analysis of Alternative Power Switches with Reverse-Voltage Blocking Capability 

      Rashid, Muhammad Zarrar (Master thesis; Mastergradsoppgave, 2022-06-02)
      The current source inverters are becoming competitors of the voltage source inverters largely due to the reduced complexity, improved reliability and potentially improved efficiency. This paper describes the functionality of current source inverters and why they’re becoming increasingly popular. It also discusses about the benefits of SiC over other semiconductors and the use of SiC MOSFETS with ...
    • Cyber-Physical Co-simulation Framework between Typhon HIL and OpenDSS for Real-Time Applications 

      Wagle, Raju; Sharma, Pawan; Mohammad, Amin; Gonzalez-Longatt, Francisco (Chapter; Bokkapittel, 2023)
      Cyber infrastructures have been extensively used for power system monitoring, control, and operation because of the development of new information and communications technology (ICT) in power systems. Deployment of cyber-physical co-simulation in the case of a realistic distribution network is still a big challenge. Hence, to solve the problem of modelling complex distribution networks, a ...