Pregled bibliografske jedinice broj: 901476
Distribution network reconfiguration using hybrid heuristic — genetic algorithm
Distribution network reconfiguration using hybrid heuristic — genetic algorithm // 2nd International Multidisciplinary Conference on Computer and Energy Science (SpliTech 2017)
Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2017. S4 - 1570360037 - 1307, 6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 901476 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Distribution network reconfiguration using hybrid heuristic — genetic algorithm
Autori
Jakus, Damir ; Čađenović, Rade ; Bogdanović, Mia ; Sarajčev, Petar ; Vasilj, Josip
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2nd International Multidisciplinary Conference on Computer and Energy Science (SpliTech 2017)
/ - Split : Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2017
ISBN
978-953-290-070-5
Skup
2nd International Multidisciplinary Conference on Computer and Energy Science (SpliTech 2017)
Mjesto i datum
Split, Hrvatska, 12.07.2017. - 14.07.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
distribution network reconfiguration ; hybrid heuristic genetic algorithm ; minimum network losses ; load balancing
Sažetak
This paper presents algorithm for optimal reconfiguration of distribution networks using hybrid heuristic genetic algorithm. Improvements introduced in this approach make it suitable for real-life networks with realistic degree of complexity and network size. The algorithm introduces several improvements related to the generation of initial set of possible solutions as well as crossover and mutation steps in genetic algorithm. Since the genetic algorithms are often used in distribution network reconfiguration problem, its application is well known, but most of the approaches have very poor effectiveness due to high level of individuals' rejections not-fulfilling radial network constraints requirements and poor convergence rate. One part of these problems is related to ineffective creation of initial population individuals. The other part of the problem in similar approaches is related to inefficient operators implemented in crossover and mutation process over created set of population individuals. The hybrid heuristic- genetic approach presented in this paper provides significant improvements in these areas. The presented algorithm can be used to find optimal radial distribution network topology with minimum network losses or with optimally balanced network loading. The algorithm is rested on a real size network of city of Dubrovnik to identify the optimal network topology after the interpolation (connection) of a new supply point.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus