Optimalni tokovi snaga u mrežama sa obnovljivim izvorima energije

Magoč, Mihajlo

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master's thesis

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Optimal power flows in system with renewable energy sources

Mihajlo Magoč (2017)

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Power Engineering
Chair of Power Systems and Substations

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APA 6th Edition

Magoč, M. (2017). Optimalni tokovi snaga u mrežama sa obnovljivim izvorima energije (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:504310

MLA 8th Edition

Magoč, Mihajlo. "Optimalni tokovi snaga u mrežama sa obnovljivim izvorima energije." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:504310

Chicago 17th Edition

Harvard

Magoč, M. (2017). 'Optimalni tokovi snaga u mrežama sa obnovljivim izvorima energije', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 January 2020, https://urn.nsk.hr/urn:nbn:hr:200:504310

Vancouver

Magoč M. Optimalni tokovi snaga u mrežama sa obnovljivim izvorima energije [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2020 January 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:504310

IEEE

M. Magoč, "Optimalni tokovi snaga u mrežama sa obnovljivim izvorima energije", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:504310

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:504310

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Metadata

Title	Optimalni tokovi snaga u mrežama sa obnovljivim izvorima energije
Title (english)	Optimal power flows in system with renewable energy sources
Author	Mihajlo Magoč
Mentor	Krešimir Fekete (mentor)
Committee member	Krešimir Fekete (predsjednik povjerenstva)
Committee member	Zvonimir Klaić (član povjerenstva)
Committee member	Zorislav Kraus (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Power Engineering) (Chair of Power Systems and Substations) Osijek
Defense date and country	2017-06-01, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Power Engineering
Abstract	U ovom je radu predstavljen problem optimalnih tokova snaga u mrežama s obnovljivim izvorima energije te metode za rješavanje optimalnih tokova snaga. Koristeći PowerWorld programski paket, metodom linearnog programiranja izvršena je simulacija sastavljena od tri dijela. U prvom dijelu simulacije prikazan je optimalni rad EES-a s minimalnim troškom kao funkcijom cilja, a obnovljivi izvor kojeg predstavlja vjetroelektrana, radi prema planu. Drugi dio simulacije prikazuje proračunate optimalne tokove snaga i marginalne cijene u slučaju kada dođe do smanjenja izlazne snage vjetroelektrane u odnosu na prognoziranu vrijednost. Treći dio simulacije prikazuje promjenu tokova snaga i marginalne cijene u slučajevima kada dođe do povećanja izlazne snage vjetroelektrane u odnosu na prognoziranu vrijednost. Rezultati, osim optimalnih tokova snaga, pokazuju da pozitivno odstupanje izlazne snage vjetroelektrane utječe na smanjivanje marginalne cijene električne energije u sustavu, dok negativno odstupanje izlazne snage vjetroelektrane utječe na povećanje marginalne cijene električne energije u sustavu.
Abstract (english)	This paper presents the problem of optimal power flows in the network with renewable sources of energy, and methods for solving optimal power flows. Using PowerWorld software and the linear programming method three part simulation is completed. The first part of the simulation shows the optimum operation of the power system with a minimum cost as an objective function. Renewable sources represented by the wind power plants are in operation according to plan. The second part of the simulation shows optimal power flow and marginal cost calculation when the wind power output decreases in relation to the predicted value. The third part of the simulation shows power flow and marginal cost calculation when the wind power output increases in relation to the predicted value. The results, in addition to optimum power flows, show that the positive deviation of the wind power output affects the reduction of the marginal cost of electricity in the system, while the negative deviation of the wind power output influences the increase in marginal cost of electricity in the system.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:504310
Study programme	Title: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering Course: Power Engineering Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
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Created on	2017-06-20 15:31:44