Institutt for elektro, IT, og kybernetikk
Recent Submissions
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Day-ahead energy-mix proportion for the secure operation of renewable energy-dominated power system
(Peer reviewed; Journal article, 2024)Advancements in various scientific fields have encouraged the development of novel tools, techniques, components, methodologies, and innovations aimed at addressing the challenges encountered in modern power systems dominated ... -
Multistage Model Predictive Control with Simplified Scenario Ensembles for Robust Control of Hydropower Station
(Peer reviewed; Journal article, 2023)This paper proposes simplification of the scenario ensembles that describe the uncertainty present in a hydropower plant. The simplified scenario tree is further used with a multistage model predictive control for optimal ... -
Multistage Model Predictive Control with Simplified Method on Scenario Ensembles of Uncertainty for Hjartdøla Hydropower System
(Chapter, 2023)Despite the many advantages associated with hydropower, the optimal operation of a hydropower system can be challenging due to various operational constraints and uncertainties, such as those related to weather forecasts ... -
A Reactive Approach for Real-Time Optimization of Oil Production Under Uncertainty
(Peer reviewed; Journal article, 2023)This paper proposes a reactive approach based on the moving horizon estimation method for optimization in the presence of parametric uncertainty. The moving horizon estimation scheme uses measurable outputs in order to ... -
Subspace System Identification of a Pilot Tunnel System of a Combined Sewage System
(Peer reviewed; Journal article, 2023)This paper presents an investigation into the potential use of subspace identification methods (SIMs) for model-based control of urban drainage systems (UDS) that play a crucial role in collecting and transporting stormwater ... -
Industry Master Courses – Successful Digitalisation and Lifelong Learning – Recent Case Studies
(Chapter, 2023)Industries in EU, UK and EEA countries are now supporting their employees with the necessary educational background to continue their learning thus promoting the acquirement of new skills and knowhow of their workforce ... -
Distance Protection Relay Testing Using Virtual Hardware-in-the-Loop Device
(Chapter, 2023)The complexity of modern power system phenomena challenges power system protection testing to obtain the required adequacy of the testing environment before actual implementation. Consequently, a virtual hardware-in-the-loop ... -
Development of an Arduino-based, open-control interface for hardware in the loop applications
(Peer reviewed; Journal article, 2023)This article presents a flexible control interface based on low-cost hardware solutions for electric drives which classically come either with a proprietary hardware solution or a high-cost interface solution. The interface ... -
Agent-Based and Stochastic Optimization Incorporated with Machine Learning for Simulation of Postcombustion CO2 Capture Process
(Journal article, 2022)In this paper, a novel method is proposed for the incorporation of data-driven machine learning techniques into process optimization. Such integration improves the computational time required for calculations during ... -
Loss Modeling of Large Hydrogenerators for Cost Estimation of Reactive Power Services and Identification of Optimal Operation
(Peer reviewed; Journal article, 2022)As a result of the worldwide energy transition, reactive power generation has started to become a more scarce resource in the power grid. Until recently, reactive power has been an auxiliary grid service that classical ... -
Statistical analysis of storage capacity increment effect in micro-grid management with simultaneous use of reconfiguration and unit commitment
(Peer reviewed; Journal article, 2023)This paper aims to provide a model that combines reconfiguration with Unit Commitment (UC) and analytically examine Storage Capacity Increment Effects (SCIEs) in Micro-Grid (MG) operation. The case study includes batteries ... -
Evaluating the Precision of the DC Decay Test Method for Characterizing Wound-Field Synchronous Machines in Power Plants
(Peer reviewed; Journal article, 2023)The sudden short-circuit test is the gold standard for determining the equivalent diagram of wound-field synchronous machines (WFSMs). Only a single measurement is needed while the machine is in saturated mode. However, ... -
Diagnostics analysis of partial discharge events of the power cables at various voltage levels using ramping behavior analysis method
(Peer reviewed; Journal article, 2024)Partial discharge events can occur in high-voltage cables. It can be caused by defects in the cable insulation, contamination, or a combination of both. Partial discharge in cables can lead to insulation failure and cable ... -
Markov Chain Monte Carlo Methods Applied to a Synchronous Generator Model
(Peer reviewed; Journal article, 2023)Markov Chain Monte Carlo (MCMC) approaches are widely used for tuning model parameters to fit process measurements. While modern probabilistic programming languages (PPLs) such as Stan, PyMC, and Turing have made it easier ... -
Implementation of simplified sequential stochastic model predictive control for operation of hydropower system under uncertainty
(Peer reviewed; Journal article, 2023)Sequential stochastic model predictive control (MPC) is a control framework that sequentially employs two optimizers. The high-level optimizer generates a coarse long-term plan based on nominal uncertainty values, while ... -
Tuning Model Predictive Control for Rigorous Operation of the Dalsfoss Hydropower Plant
(Peer reviewed; Journal article, 2022)Model predictive control is considered an attractive control strategy for the operation of hydropower station systems. It is due to the operational constraints or requirements of the hydropower system for safe and eco-friendly ... -
Hybrid Model Predictive Control Scheme for Controlling Temperature in Building Under Uncertainties
(Peer reviewed; Journal article, 2023)This paper presents a study on temperature control with a heater in a building using Model Predictive Control (MPC) with a focus on addressing two uncertainties: in model and the weather forecast. In previous works, a ... -
Electric Submersible Pump Lifted Oil Field: Basic Model for Control, and Comparison of Simulation Tools
(Peer reviewed; Journal article, 2024)Early childhood educationOptimal operation of petroleum production is important in a transition from energy systems based on fossil fuel to sustainable systems. One sub-process in petroleum production deals with transport ... -
ESP Lifted Oil Field: Core Model, and Comparison of Simulation Tools
(Peer reviewed; Journal article, 2023)Optimal operation of petroleum production is important in a transition from energy systems based on fossil fuel to sustainable systems. One sub-process in petroleum production deals with transport from the (subsea) well-bore ... -
Parameter Estimation for a Gas Lifting Oil Well Model Using Bayes' Rule and the Metropolis–Hastings Algorithm
(Peer reviewed; Journal article, 2022)Oil well models are frequently used in the oil production process. Estimation of unknown parameters of these models has long been a question of great interest in the oil industry field. Data collected from an oil well ...
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