Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 275564

Facing uncertainties in log-term distribution planning methods based on evolutionary algorithms


Skok , Minea; Zmijarević, Zlatko; Keko, Hrvoje; Škrlec, Davor; Krajcar, Slavko
Facing uncertainties in log-term distribution planning methods based on evolutionary algorithms // Proceedings od CIDEL 2006
Buenos Aires, 2006. str. 3.5.3.32.1-3.5.3.32.9 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 275564 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Facing uncertainties in log-term distribution planning methods based on evolutionary algorithms

Autori
Skok , Minea ; Zmijarević, Zlatko ; Keko, Hrvoje ; Škrlec, Davor ; Krajcar, Slavko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings od CIDEL 2006 / - Buenos Aires, 2006, 3.5.3.32.1-3.5.3.32.9

Skup
CIDEL 2006

Mjesto i datum
Buenos Aires, 27-29.11.2006

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
planning; primary distribution system; uncertainty; fuzzy sets; evolutionary algorithms

Sažetak
Electric utilities are nowadays operating in an increasingly challenging economic environment. Consequently, financial requirements and constraints imposed on utilities call for prudent investments. Long-term distribution system planning is a complex combinatorial optimization problem. In this sense the inclusion of risk in a decision making process is not straight forward. To clarify this matter, fuzzy sets based approach for handling uncertainties is presented which is used in long-term planning methods based on evolutionary algorithms devised by the Authors. The proposed methods can cope with important features such as uncertainty in loads, tentative distributed generation, changes in prices and costs, etc. Planning under uncertainty looks for the solution aimed at not only optimal but also robust decisions. In other words, the solution is expected not only to be economical and technically desirable, but also to perform well in any plausible future or, at least, to be sufficiently flexible when facing any unpredictable future. The model and evolutionary algorithms have been applied intensively to real life power distribution systems showing its potential applicability to large scale systems. Results have illustrated the significant influence of the uncertainties in the optimal distribution network planning mainly in terms of topology and supply capacity of the resulting optimal distribution system.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekt / tema
0036046

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Hrvoje Keko (autor)

Avatar Url Minea Skok (autor)

Avatar Url Slavko Krajcar (autor)

Avatar Url Davor Škrlec (autor)

Avatar Url Zlatko Zmijarević (autor)

Citiraj ovu publikaciju

Skok , Minea; Zmijarević, Zlatko; Keko, Hrvoje; Škrlec, Davor; Krajcar, Slavko
Facing uncertainties in log-term distribution planning methods based on evolutionary algorithms // Proceedings od CIDEL 2006
Buenos Aires, 2006. str. 3.5.3.32.1-3.5.3.32.9 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Skok , M., Zmijarević, Z., Keko, H., Škrlec, D. & Krajcar, S. (2006) Facing uncertainties in log-term distribution planning methods based on evolutionary algorithms. U: Proceedings od CIDEL 2006.
@article{article, year = {2006}, pages = {3.5.3.32.1-3.5.3.32.9}, keywords = {planning, primary distribution system, uncertainty, fuzzy sets, evolutionary algorithms}, title = {Facing uncertainties in log-term distribution planning methods based on evolutionary algorithms}, keyword = {planning, primary distribution system, uncertainty, fuzzy sets, evolutionary algorithms}, publisherplace = {Buenos Aires} }




Contrast
Increase Font
Decrease Font
Dyslexic Font