Intelligent load frequency control in an isolated wind-solar PV-micro turbine-diesel based micro-grid using V2G integration
Permanent lenke
https://hdl.handle.net/10037/11363Dato
2017-06-12Type
Master thesisMastergradsoppgave
Forfatter
Addisu, Wondwosen EshetuSammendrag
Abstract Modern power systems need more intelligence and flexibility to maintain and control a generation load balance from subsequent serious disturbances due to the emerging of more renewable energy sources. This problem is becoming more significant today because of the increasing number of micro-grids (MGs). MGs usually use renewable energies in electrical production those fluctuate naturally. So, fluctuation and usual uncertainties in power systems cause the conventional controllers to be less efficient to provide a proper load frequency control (LFC) performance for a wide range of operating condition. Therefore, this thesis presents an intelligent control technique which is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) architecture for an isolated wind-Solar PV-micro turbine-diesel based micro-grid (MG) system using Vehicle-to-Grid (V2G) integration. Accordingly, the V2G technology, the electric vehicle (EVs) may act as mobile energy storage units that could be a better solution for the inadequate LFC capacity and thereby to improve the frequency stability in an isolated MG. The performance of the proposed intelligent controller (ANFIs) is compared with conventional proportional-integral-derivative (PID) controller, Interval type-1 (IT1) Fuzzy controller and Interval type-2 (IT2) Fuzzy controller design methods. The results show that ANFIS based neuro-fuzzy LFC controller is having less settling time and improve dynamic responses for the considered MG system
Forlag
UiT Norges arktiske universitetUiT The Arctic University of Norway
Metadata
Vis full innførsel
Copyright 2017 The Author(s)
Følgende lisensfil er knyttet til denne innførselen:
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
Relaterte innførsler
Viser innførsler relatert til tittel, forfatter og emneord.
-
Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review
Sadanandan Anand, Akhil; Seel, Katrine; Gjærum, Vilde Benoni; Håkansson, Anne; Robinson, Haakon; Saad, Aya (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-01)Real-world autonomous systems are often controlled using conventional model-based control methods. But if accurate models of a system are not available, these methods may be unsuitable. For many safety-critical systems, such as robotic systems, a model of the system and a control strategy may be learned using data. When applying learning to safety-critical systems, guaranteeing safety during learning ... -
Form follows function: pragmatic controlled trials (PCTs) have to answer different questions and require different designs than randomized controlled trials (RCTs)
Porzsolt, Franz; Wyers, Peter; Eisemann, Martin; Habs, Michael (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)Rising concern for demonstrated real world comparative effectiveness has heightened interest in “pragmatic trials” design. Pragmatic trials investigate whether the efficacy, presumed or found in explanatory trials under ideal conditions, can also be detected under real world conditions, i.e. effectiveness. It is also recognized that ‘real world’ effects which are usually addressed in public health ... -
Infection prevention and control measures and tools for the prevention of entry of carbapenem-resistant Enterobacteriaceae into healthcare settings: Guidance from the European Centre for Disease Prevention and Control
Magiorakos, A.P.; Burns, K.; Rodríguez Baño, J.; Borg, M.; Daikos, G.; Dumpis, U.; Lucet, J.C.; Moro, M.L.; Tacconelli, E.; Simonsen, G. Skov; Szilágyi, E.; Voss, A.; Weber, J.T. (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-11-15)Background: Infections with carbapenem-resistant Enterobacteriaceae (CRE) are increasingly being reported from patients in healthcare settings. They are associated with high patient morbidity, attributable mortality and hospital costs. Patients who are “at-risk” may be carriers of these multidrug-resistant Enterobacteriaceae (MDR-E). The purpose of this guidance is to raise awareness and identify ...