APPLICATION OF GENETIC ALGORITHM IN SUBSTATION ALLOCATION IN POWER SYSTEMS WITH FUZZY LOADS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HAGHIFAM M.R.; SHAHABI M.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Year:2002 | Volume:36 | Issue:2 (76) Page(s): 133-144

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

1,198

Download:

Cites:

Information Journal Paper

Title

APPLICATION OF GENETIC ALGORITHM IN SUBSTATION ALLOCATION IN POWER SYSTEMS WITH FUZZY LOADS

Author(s)

HAGHIFAM M.R. | SHAHABI M. | Issue Writer Certificate

Keywords

Not Registered.

Abstract

In this paper a novel approach for optimal location, sizing and determining the service areas of HV/MV substations in a long-range planning period using pseudo dynamic methodology is presented. Costs of equipment, areas, cables in MV side and power loss are considered in cost function. Uncertainty in loads is modeled using LR fuzzy numbers in load points. For optimization procedure, genetic algorithm (GA) with a new coding is used. Load points splitting in each area between substations and infeasibility solutions are considered in search procedure. Based on this, software was developed and integrated into an optimization tool for substation allocation. The software was applied in many cases with satisfactory results.

Cites

No record.

References

No record.

Cite

APA: Copy

HAGHIFAM, M.R., & SHAHABI, M.. (2002). APPLICATION OF GENETIC ALGORITHM IN SUBSTATION ALLOCATION IN POWER SYSTEMS WITH FUZZY LOADS. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), 36(2 (76)), 133-144. SID. https://sid.ir/paper/14153/en

Vancouver: Copy

HAGHIFAM M.R., SHAHABI M.. APPLICATION OF GENETIC ALGORITHM IN SUBSTATION ALLOCATION IN POWER SYSTEMS WITH FUZZY LOADS. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN)[Internet]. 2002;36(2 (76)):133-144. Available from: https://sid.ir/paper/14153/en

IEEE: Copy

M.R. HAGHIFAM, and M. SHAHABI, “APPLICATION OF GENETIC ALGORITHM IN SUBSTATION ALLOCATION IN POWER SYSTEMS WITH FUZZY LOADS,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), vol. 36, no. 2 (76), pp. 133–144, 2002, [Online]. Available: https://sid.ir/paper/14153/en

Related Journal Papers