Sökning: "Grid Reinforcement"

Visar resultat 1 - 5 av 38 uppsatser innehållade orden Grid Reinforcement.

1. 1. Virtual power lines in the future Swedish power system

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell elektroteknik och automation

   Författare :Simon Hessman; Frida Lundberg; [2023]
   Nyckelord :VPL Virtual Power Line Nordic44 Nordic46 BESS Energy Storage; Technology and Engineering;

   Sammanfattning : The transition towards renewable energy and electrification is expected to accelerate in the coming decades. This change is being studied by several actors, in Sweden most notably by Svenska kraft- nät, the Swedish TSO. LÄS MER

3. 2. Framtidens lågspänningsnät : Analys av utmaningar och lösningar med ny teknik i nätet

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Elektricitetslära

   Författare :Oscar Dellham; [2023]
   Nyckelord :lågspänningsnät; flexibilitetstjänster; nätförstärkning; elbilsladdare; solceller; lastprognostisering;

   Sammanfattning : With an ever growing demand for electricity, it is tough to know which challenges will be the most pressing and which solutions will be appropriate to implement in different cases. This thesis utilizes simulations of three low voltage grids to see which part of the grid is most vulnerable, to which extent grid reinforcement is needed to solve voltage and load problems, and what amount of demand flexibility services would be an adequate substitute to grid reinforcement. LÄS MER

4. 3. Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Enzo Alexander Cording; [2023]
   Nyckelord :Deep Reinforcement Learning; EV charging optimization; Artificial Intelligence; Commercial vehicle fleets; Electric vehicles; Deep Reinforcement Learning; optimering av elbilsladdning; artificiell intelligens; kommersiella fordonsflottor; Elektriska fordon;

   Sammanfattning : Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. LÄS MER

5. 4. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Victor Sanchez; [2023]
   Nyckelord :Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

   Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER

7. 5. Battery Storage as Grid Reinforcement for Peak Power Demands

   Master-uppsats, Linköpings universitet/Energisystem

   Författare :Jesper Hilleberg; [2023]
   Nyckelord :Battery Storage; Battery Energy Storage System; Grid Reinforcement; Flexibility; Lithium-ion battery; li-ion battery; Large Scale Grid Storage; BESS; Energy Storage; Peak Power Demand; Batterilagring; Batterilagringsystem; Nätförstärkning; Nätförstärkningsåtgärd; toppeffektlaster; Flexibilitet; Flexibilitetslösning; litiumjonbatteri; li-ion batteri; BESS; energilagring;

   Sammanfattning : An increased amount of intermittent electricity production, more electric vehicles (EV), and an overall electrification of society may all cause a higher variability between the balance of supply and demand on the electric grid. Battery storage has been identified as a solution to the emerging problem asit can be charged during hours of low power demand and then discharged to help meet the power demand during peak loads. LÄS MER