| Title | Primjena metoda optimizacije u elektroenergetskom sustavu |
| Author | Hrvoje Palčić |
| Mentor(s) | Predrag Marić (thesis advisor)
|
| Abstract | Povećanje svakodnevnih potreba ljudi za električnom energijom raste ubrzano, ponajviše zbog sve veće svijesti o ekologiji i klimatskim promjenama kao i cijenama naftnih derivata. Posljedica toga su i mnogobrojni raznovrsni distribuirani izvori energije koji mijenjaju tokove snaga na mreži. Zbog raspršene i komplicirane proizvodnje potrebno je elektroenergetski sustav što bolje optimirati kako bi se što bolje iskoristila infrastruktura i smanjili troškovi. Pomoć pri optimiranju pružaju razni algoritmi i metode optimizacije mreže i tokova snaga koji su opisani u radu. U ovome radu koristila se metoda roja čestica za optimiranje zadane mreže u programskom paketu Matlab pomoću nadogradnje Matpower. Dobiveni rezultati pokazuju iznos smanjenja gubitaka i upućuju na mjesta gdje postoji mogućnost smanjenja gubitaka radne i jalove snage. Rezultati simulacije su okvirno pomagalo gdje smanjiti gubitke, a za realnu upotrebu bilo bi potrebno dodatno istražiti rješenja jer su prilikom simulacije poneka realna ograničenja zanemarena radi jednostavnosti. |
| Keywords | electrical energy optimization distributed sources power flow electric power system PSO particle swarm method |
| Parallel title (English) | Application of optimization methods in power system |
| Committee Members | Predrag Marić (committee chairperson)
Marko Vukobratović (committee member)
Marinko Barukčić (committee member)
|
| Granter | Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek |
| Lower level organizational units | Department of Power Engineering
Chair of Power Systems and Substations |
| Place | Osijek |
| State | Croatia |
| Scientific field, discipline, subdiscipline | TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
|
| Study programme type | university |
| Study level | graduate |
| Study programme | Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering |
| Study specialization | Communications and Informatics |
| Academic title abbreviation | mag.ing.el. |
| Genre | master's thesis |
| Language | Croatian |
| Defense date | 2018-07-06 |
| Parallel abstract (English) | Increasing the daily needs of people for electricity is growing rapidly, mainly due to the increasing awareness of ecology and climate changes, as well as the prices of petroleum products. As a result, there are many different distributed energy sources that change power flows on the network. Due to scattered and complicated production, the power system needs to be optimized, to reduce the infrastructure costs. Optimization help to provide a variety of algorithms and network optimization methods and power flows that are described in the work. In this paper the particle swarm method was used to optimize the default network in the Matlab software package by using Matpower upgrade. The obtained results show the amount of loss reduction and point to places where there is a possibility of reducing true power and reactive power losses. The simulation results are a cost-effective way to reduce the losses, for realistic usefurther research would be necessary, because some realistic constraints are ignored during simulation for simplicity. |
| Parallel keywords (Croatian) | električna energija optimiranje distribuirani izvori tokovi snaga elektroenergetski sustav PSO metoda roja čestica |
| Resource type | text |
| Access condition | Open access |
| Terms of use |  |
| URN:NBN | https://urn.nsk.hr/urn:nbn:hr:200:386527 |
