@mastersthesis{arndis_magnusdottir_modelling_2016,
	address = {Porsgrunn},
	title = {Modelling and {Simulation} of {Hydro} {Power} {Station} {Fossárvirkjun} in {Iceland}},
	abstract = {There is a strong focus on new renewable energy sources, such as, solar power, wind energy and
biomass, in the context of reducing carbon emissions. Because of its maturity, hydropower is
often overlooked. However, there is an era of hydro oriented research in improving many aspects
of this well established technology.
Imitating a physical system of a hydropower plant by mathematical models can serve as a power-
ful tool for analysing and predicting the system performance during disturbances. Furthermore it
can create opportunities in investigating more advanced control method, such as Model Predict-
ive Control which is equipped with handling multiple-input and multiple-output systems in the
presence of constraints. This control method was researched and a presented as a supervisory
control scheme.
A simulation model of a reference hydropower station located in northwest of Iceland was imple-
mented using a commercial simulation environment Dymola based on the modelling language
Modelica® . The main simulation scenarios of interest were; 20\% load rejection, worst-case
scenario of full shut down and pressure rise in the pressure shaft due to the water hammer ef-
fect. These scenarios were successfully carried out given the data available of Fossárvirkjun
power plant. The load rejection simulation gave expected results and was verified against a ref-
erence results from manufacturer. After full shutdown the pressure increase at the bottom of the
pressure shaft increased by 3.8 bar due to the water hammer effect which is within margin of
maximum allowable pressure in the pressure shaft. However, the model could do with a better
response from the control system, which can be further implemented.
The results gave an indication that the model built is a satisfactory representation of Fossár-
virkun. Further implementation of a more advance control scheme such as, Model Predictive
Controller is considered to be the next step for future work. It is proposed that MATLAB/Simulink®
software is to be co-simulated with Dymola. It is appropriate that model of the hydropower plant
will be simulated in Modelica whilst the whole control aspect, the supervisory MPC and the PID
controller, would be implemented in MATLAB/Simulink® .},
	school = {University College of Southeast Norway},
	author = {{Arndís Magnúsdóttir}},
	month = jun,
	year = {2016},
	note = {Master's thesis},
}

{"_id":"oFYu2rC243w8CXHKR","bibbaseid":"arndsmagnsdttir-modellingandsimulationofhydropowerstationfossrvirkjuniniceland-2016","downloads":0,"creationDate":"2016-06-30T14:12:39.888Z","title":"Modelling and Simulation of Hydro Power Station Fossárvirkjun in Iceland","author_short":["Arndís Magnúsdóttir"],"year":2016,"bibtype":"mastersthesis","biburl":"https://api.zotero.org/users/2254557/collections/X49NRRMN/items?key=u3eLG3mwX3O3ZjI7tlV151Zi&format=bibtex&limit=100","bibdata":{"bibtype":"mastersthesis","type":"mastersthesis","address":"Porsgrunn","title":"Modelling and Simulation of Hydro Power Station Fossárvirkjun in Iceland","abstract":"There is a strong focus on new renewable energy sources, such as, solar power, wind energy and biomass, in the context of reducing carbon emissions. Because of its maturity, hydropower is often overlooked. However, there is an era of hydro oriented research in improving many aspects of this well established technology. Imitating a physical system of a hydropower plant by mathematical models can serve as a power- ful tool for analysing and predicting the system performance during disturbances. Furthermore it can create opportunities in investigating more advanced control method, such as Model Predict- ive Control which is equipped with handling multiple-input and multiple-output systems in the presence of constraints. This control method was researched and a presented as a supervisory control scheme. A simulation model of a reference hydropower station located in northwest of Iceland was imple- mented using a commercial simulation environment Dymola based on the modelling language Modelica® . The main simulation scenarios of interest were; 20% load rejection, worst-case scenario of full shut down and pressure rise in the pressure shaft due to the water hammer ef- fect. These scenarios were successfully carried out given the data available of Fossárvirkjun power plant. The load rejection simulation gave expected results and was verified against a ref- erence results from manufacturer. After full shutdown the pressure increase at the bottom of the pressure shaft increased by 3.8 bar due to the water hammer effect which is within margin of maximum allowable pressure in the pressure shaft. However, the model could do with a better response from the control system, which can be further implemented. The results gave an indication that the model built is a satisfactory representation of Fossár- virkun. Further implementation of a more advance control scheme such as, Model Predictive Controller is considered to be the next step for future work. It is proposed that MATLAB/Simulink® software is to be co-simulated with Dymola. It is appropriate that model of the hydropower plant will be simulated in Modelica whilst the whole control aspect, the supervisory MPC and the PID controller, would be implemented in MATLAB/Simulink® .","school":"University College of Southeast Norway","author":[{"firstnames":[],"propositions":[],"lastnames":["Arndís Magnúsdóttir"],"suffixes":[]}],"month":"June","year":"2016","note":"Master's thesis","bibtex":"@mastersthesis{arndis_magnusdottir_modelling_2016,\n\taddress = {Porsgrunn},\n\ttitle = {Modelling and {Simulation} of {Hydro} {Power} {Station} {Fossárvirkjun} in {Iceland}},\n\tabstract = {There is a strong focus on new renewable energy sources, such as, solar power, wind energy and\nbiomass, in the context of reducing carbon emissions. Because of its maturity, hydropower is\noften overlooked. However, there is an era of hydro oriented research in improving many aspects\nof this well established technology.\nImitating a physical system of a hydropower plant by mathematical models can serve as a power-\nful tool for analysing and predicting the system performance during disturbances. Furthermore it\ncan create opportunities in investigating more advanced control method, such as Model Predict-\nive Control which is equipped with handling multiple-input and multiple-output systems in the\npresence of constraints. This control method was researched and a presented as a supervisory\ncontrol scheme.\nA simulation model of a reference hydropower station located in northwest of Iceland was imple-\nmented using a commercial simulation environment Dymola based on the modelling language\nModelica® . The main simulation scenarios of interest were; 20\\% load rejection, worst-case\nscenario of full shut down and pressure rise in the pressure shaft due to the water hammer ef-\nfect. These scenarios were successfully carried out given the data available of Fossárvirkjun\npower plant. The load rejection simulation gave expected results and was verified against a ref-\nerence results from manufacturer. After full shutdown the pressure increase at the bottom of the\npressure shaft increased by 3.8 bar due to the water hammer effect which is within margin of\nmaximum allowable pressure in the pressure shaft. However, the model could do with a better\nresponse from the control system, which can be further implemented.\nThe results gave an indication that the model built is a satisfactory representation of Fossár-\nvirkun. Further implementation of a more advance control scheme such as, Model Predictive\nController is considered to be the next step for future work. It is proposed that MATLAB/Simulink®\nsoftware is to be co-simulated with Dymola. It is appropriate that model of the hydropower plant\nwill be simulated in Modelica whilst the whole control aspect, the supervisory MPC and the PID\ncontroller, would be implemented in MATLAB/Simulink® .},\n\tschool = {University College of Southeast Norway},\n\tauthor = {{Arndís Magnúsdóttir}},\n\tmonth = jun,\n\tyear = {2016},\n\tnote = {Master's thesis},\n}\n\n","author_short":["Arndís Magnúsdóttir"],"key":"arndis_magnusdottir_modelling_2016","id":"arndis_magnusdottir_modelling_2016","bibbaseid":"arndsmagnsdttir-modellingandsimulationofhydropowerstationfossrvirkjuniniceland-2016","role":"author","urls":{},"metadata":{"authorlinks":{}}},"search_terms":["modelling","simulation","hydro","power","station","foss","rvirkjun","iceland","arndís magnúsdóttir"],"keywords":[],"authorIDs":[],"dataSources":["AjgvxtpMCcn3z8ZpY"]}