Master's theses NTNU 2021:

• Skeie, Oda: A control strategy for seamless interconnection of microgrids in a multigrid configuration
• Øye, Erlend: A Practical Application of an Active Distribution Grid Planning Framework in Relation to a Pilot Area for New Energy Solutions
• Westad, Maria Claire: A Stochastic Simulation Tool for Generating Hourly Load Profiles for Residential EV Charging, Based on Real-World Charging Reports
• Hovden, Synnøve: An Optimal Model Predictive Control-Based Energy Management System for Microgrids
• Fjær, Kyrre Kirkbakk: Analysis of Dynamic Pricing to utilise Spatial Flexibility in Heavy-Duty Electric Vehicle Charging Demand
• Vistnes, Matias Kraft: Analysis of Interdependence in Electrical Distribution Power Systems and corresponding Information and Communications Technology Systems using Monte Carlo Simulations
• Bjørnerem, Erik Seeger: Analyzing optimal sizing and operation of renewable hydrogen systems
• Kaaløy, Malin: Assessing local flexibility resources in a Zero Emission Neighbourhood with focus on space heat demand and battery storage
• Svendsen, Ine Ingebrigtsen: Characterization of electrical flexibility of water boilers
• Langås, Mari; Løfqvist, Sanna: Cyber security Preparedness Exercises in Smart Grid: Collaboration with Suppliers During Incident Response
• Sloth, Ole Andreas: Demand response verification using baseline estimation and load disaggregation
• Christensen, Anne Marthe Ter Woerds: Flexibility aggregation from distributed energy source
• Grøttås, Anders; Teigen, Annvor: Flexibility Solutions in Distribution Networks. Case Study Utsira
• Bolstad, Daniel: Interpretation of Electrical Load Forecasts using Explainable Artificial Intelligence
• Bratlie, Frida: Leveraging residential battery energy storage systems for voltage support in remote distribution grids with high penetration of renewables
• Wang, Jacob: Long-term Peak Power and Energy Forecasting in Norwegian Electricity Grids
• Lyngen, Jostein Johansen: Optimal dimensjonering og drift av mikronett
• Larsen, Stine Morberg; Njøten, Amanda: Optimal Resource Allocation and Pricing for Distributed Demand-Side Flexibility Services
• Stave, Viljar Stensaker: Optimal Utilisation of Grid Capacity for Connection of New Renewable Power Plants in Norway
• Waterloo, Henrik: Predicting Domestic Hot Water Consumption in Buildings in Norway Using Machine Learning
• Flå, Lars Halvdan: Threat Modeling Framework for Smart Grids
• Langseth, Ida: Voltage Support with Reactive Power from Fast Charging Stations with Local Energy Storage and Production

Master's theses NTNU 2020:

• Ringheim, Liv: Grid Impact from Increased Prosumer Penetration in the Norwegian Distribution Grid
• Osnes, Mari Myrvold: Analyse av lastendringer på nettstasjonsnivå som følge av solkraftproduksjon på privathus og næringsbygg
• Refvik, Håvard: Exploitation of big data and machine learning in the distribution grid operation
• Deraas, Bendik Balstad: Analysis of interdependencies between power systems and other critical infrastructures
• Rogne, Erik Log: Analysis and visualization of reinvestment scenarios for distribution networks
• Veie, Bjørnar: Balancing power production and consumption in nano grids
• Molvik, Øystein: Sensor for real time measurement of potential for electric power production from solar panels
• Farooq, Mohamed: Benefits of TSO-DSO coordination for voltage control: Simulation study and use case development
• Gunabala, Sarminal; Eriksen, Sara: Nettselskapers involvering av underleverandører i hendelseshåndtering ved cyberangrep
• Gjørven, Bjørn O.; Bakken, Alexander Hansen: Design and Implementation of a Novel Architecture for Virtual Smart Grid Cyber Ranges
• Rønningen, Fabian Skarboe: Adaptive Control of Distributed Generation Inverter Based on Impedance Estimation
• Lillefosse, Eirik Haugan: Development of a computational tool for assessing uninterrupted microgrid operation
• Steig, Rune: Model-based control of plug-and-play grid-connected inverters
• Magnussen, Hannah: Model predictive controller for charging of grid-connected battery
• Formo, Markus: Cont Power Flow as a tool for sequential simulation
• Ellingsen, Matias Lunde: Security-Constrained Optimal Power Flow
• Westad, Erlend: Harmonics Management through Data Analysis, Identification and Control
• Narayan, Erik-Anant: Dynamic simulation of power systems based on a second-order predictor-corrector scheme
• Sælen, Åsmund: Toolbox for specialized power system analysis
• Bravo, Manuel Perez: Electric Vehicles Integration – Charging Infrastructure
• Træland, Christian Fredrik Marquez: Grid Tariffs for Fast Charging Infrastructure in the Norwegian Distribution Grid
• Ivarsøy, Eirik: Load profiles of electric vehicles for fast charging stations
• Aarnes, Tormod Habbestad: High-power electric charging in the Norwegian distribution grid
• Haugen, Eirik: Optimization of battery energy storage system: A case study for an electric vehicle fast-charging station
• Brubæk, Maren Refsnes: Battery storage as alternative to grid reinforcement in the low-voltage network
• Dynge, Marthe Fogstad: Local Energy Market Potential between Positive Energy Blocks in Trondheim
• Holte, Jon Hvideberg: Analysis of seasonal variations for a multimarket energy storage system including uncertainty
• Espevik, Linnea: Techno-economic optimization of energy storage for increased wind farm integration
• Skonnord, Olav Henrik: Grid implications of local markets and peer-to-peer trading in Norwegian distribution grids
• Abraham, Doney: Application of Machine Learning in IoT enabled Smart Grids for Attack Detection

Master's theses UiS 2020:

• Gudmestad, Racin: Delayed Integrity Check for IEC 61850 Communication

Master's theses UiO 2020:

• Midtbust, Ole Bendik: Approach to software testing in the context of smart power grids

Master's theses NTNU 2019:

• Lunden, Tonje L.: Analyse av forbruksmålinger fra smarte nettstasjoner for planlegging og drift av distribusjonsnett
• Slinde, Torbjørn: Prosesstøtte og visualisering i neste generasjons asset management
• Skyttermoen, Natalie: A Method for Planning a Fast Charging Station
• Brurås, Marte: Impact of Fast Charging Stations on the Reliability of Electricity Supply in Distribution Networks
• Heistad, Fredrik; Kristensen, William A.: Prediksjon av feil i det norske strømnettet
• Lervik, Marius: System for acquisition and analyzing of data from smart meters
• Damslora, Bernt J.: Data collection in a cellular sensor network with nRF9160
• Skaftun, Ingvild: Effektforbruk ved svømmeanlegg (Pirbadet)
• Karlsen, Mats K.: Energioptimalisering og mikrogrid, Granåsen skisenter
• Runestad, Kjersti L.: Adaptive Protection of an Inverter- Dominated Microgrid and Testing at the Smart Grid Laboratory at NTNU
• Baksvær, Martine J.N.: EMD and Online EMD for Harmonic Detection in Power Systems
• Riseth, Jonas; Myhre, Stine F.: Interaction Strategies for an Optimal Grid Integration of Microgrids
• Eidsvik, Håkon: Dynamic simulation of power systems based on a second-order predictor-corrector scheme
• Kvandal, Hege B.: Toolbox for specialized power system analysis
• Hjelme, Oda: Optimal PV Inverter Active and Reactive Power Control in Distribution Grids With High Amounts of Solar PV
• Nyegaard, Line: Multi-Period AC Optimal Power Flow for Distribution Systems with Energy Storage
• Bjerland, Siri F.; Grøttum, Hanne H.: Modelling coordination schemes for the transmission and distribution system operators in the power system
• Sæther, Guro: Peer-to-Peer Energy Trading in Combination with Local Flexibility Resources in a Norwegian Industrial Site
• Melby, Mathias: Comparison of virtual oscillator control and droop control in an inverter-based stand-alone microgrid
• Halsne, Steinar: Stabilitetsvurdering ved Nettimpedansmetoden og Adaptiv Kontroll
• Almenning, Ola M.: Reducing Neighborhood Peak Load with a Peer-to-Peer Approach under Subscribed Capacity Tariffs
• Revenga, Rodrigo V.: A Shorterm assessment of flexibility analyzing different levels of VRES deployment in a Unit Commitment model
• Mathisen, Andreas R.: Continuous-Time Unit Commitment using spline interpolation

Master's theses NTNU 2018:

• Harbo, Sondre: Tackling Variability in Renewable Energy Production and Electric Vehicle Consumption with Stochastic Optimization - The Benefits of Using the Stochastic Quasi-Gradient Method compared with Exact Methods and Machine Learning
• Blom, Fredrik: A Feasibility Study of Blockchain Technology As Local Energy Market Infrastructure
• Føyen, Sjur; Kvammen, Mads-Emil: A signal analysis toolbox for power system identification in Smart Grids
• Hanssen, Håkon E.: Data acquisition and analysis of acquired data from geographically distributed sensors connected by 2G / 4G technology
• Grande, Erlend: Data gathering and -assembling from several smart meter HAN ports
• Øverlie, Thea: Forbrukerfleksibilitet som en ressurs i fremtidens kraftsystem
• Buchmann, Ruben: Harmonic Sharing in Microgrid Applications - Modeling, Developing and Evaluating a Microgrid Control System With Harmonic Sharing Capability
• Lillebo, Martin: Impact of EV Integration and Fast Chargers in a Norwegian LV Grid - An analysis based on data from a residential grid in Steinkjer
• Hole, Jarand: Integrasjon av distribuert fornybar energi i Trøndelag
• Gjørven, Signe: Integrasjon av sol i det norske kraftsystemet
• Tveita, Elise: Methods for Cost Allocation Among Prosumers and Consumers Using Cooperative Game Theory
• Thorvaldsen, Kasper: Multi-Market Optimization of Energy Storage Taking Into Account Uncertainty
• Rognan, Lene M.: Photovoltaic Power Prediction and Control Strategies of the Local Storage Unit at Campus Evenstad
• Willett, Henrik: Security evaluation of communication interfaces on smart meters
• Avevor, Edem: Smart Grid security in the IoT world
• Andersen, Ingrid: Stochastic Optimization of Zero Emission Buildings
• Tundal, Marit: Utilizing Blockchain Technology for Settlement in a Microgrid
• Holvik, Anders: Virtual Impedance Techniques for Power Sharing Control in AC Islanded Microgrids

Master's theses NTNU 2017:

• Christian Fredrik Marquez Træland: Analysis of the Role of Energy Storage in Power Markets with Strategic Players
• Jørgen S. Erdal: Stochastic Optimisation of Battery System Operation Strategy under different Utility Tariff Structures
• Sigurd N. Bjarghov:Utilizing EV Batteries as a Flexible Resource at End-user Level