| Title | Optimiranje integracije malih elektrana u distribucijsku mrežu |
| Author | Duška Mazalica |
| Mentor(s) | Predrag Marić (thesis advisor)
Marinko Barukčić (thesis advisor)
|
| Abstract | Sve veći porast priključaka distribucijskih elektrana na distribucijsku mrežu, mijenjajući
tako karakteristike mreže, dovodi do zabrinutosti zbog njihovog utjecaja na stabilnost i rad
elektroenergetskog sustava. Potrebno je procijeniti utjecaje distribucijskog izvora na gubitke
snage, profil napona, stabilnost i pouzdanost. Stoga je u radu opisan problem alokacije
distribucijskog izvora u distribucijsku mrežu s obzirom na gubitke snage u vodovima mreže.
Prikazano je rješavanje problema pomoću genetskog algoritma, korištenog u programskom
paketu Matlab. Pri rješavanju problema pronalaska optimalnog smještaja i optimalne veličine
distribucijskog izvora, minimiziranje gubitaka snage u mreži predstavlja funkciju cilja algoritma.
Opisana metoda ispitana je na modelu distribucijske mreže prikazane u prilogu, čiji stvarni
podaci predstavljaju ulazne podatke proračuna. Rezultati su prikazani na primjeru distribucijske
mreže kako bi se pokazala učinkovitost predloženog pristupa rješavanja problema. Rad pokazuje
da se korištenjem genetskog algoritma mogu riješavati i složeni problemi, kao što je optimizacija
smještaja malih elektrana. |
| Keywords | distribution system genetic algorithm optimization |
| Parallel title (English) | Optimization of small power plants integration in distribution network |
| Committee Members | Predrag Marić (committee chairperson)
Srete Nikolovski (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; branch: Communications and Informatics, Power Engineering |
| Study specialization | branch: Communications and Informatics |
| Academic title abbreviation | mag.ing.el. |
| Genre | master's thesis |
| Language | Croatian |
| Defense date | 2014-12-15 |
| Parallel abstract (English) | Increased use of distributed generation in the distribution grid, thus changing the
characteristics of the system, leads to concern about the impacts on the stability and operation of
the power system. It is necessary to evaluate the impacts of the distributed generation on the grid
characteristics such as electric losses, voltage profile, stability and reliability. Therefore, the
work describes the problem of allocation of distributed generation in the system, considering
power losses in the distribution system. A method used in this work is a Genetic Algorithm that
is proposed to determine the optimal placement and size of distributed generation unit in
distribution system. The objective function being considered is to minimize total electrical power
losses. Described method has been tested on distribution system shown in annex of the work,
which real data representing inputs of the algorithm. The results are presented on the example of
distribution system in order to show the effectiveness of the proposed approach. This work
demonstrates that the use of Genetic Algorithm can solve complex optimization problems such
as optimal placement of small power plant. |
| Parallel keywords (Croatian) | distribucijska mreža genetski algoritam optimizacija |
| Resource type | text |
| Access condition | Open access |
| Terms of use |  |
| URN:NBN | https://urn.nsk.hr/urn:nbn:hr:200:944639 |
