SUBSTATION EXPANSION PLANNING BASED ON BFOA

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.

KIANI RAD H.; MORAVEJ Z.

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

Journal Paper

Paper Information

Journal: International Journal of Smart Electrical Engineering Year:2015 | Volume:4 | Issue:3 Page(s): 177-184

Download Full-Text

View:

264

Download:

116

Cites:

Information Journal Paper

Title

SUBSTATION EXPANSION PLANNING BASED ON BFOA

Author(s)

KIANI RAD H. | MORAVEJ Z. | Issue Writer Certificate

Keywords

BACTERIAL FORAGING OPTIMIZATION ALGORITHM

GENETIC ALGORITHM

SUBSTATION EXPANSION PLANNING

Abstract

In recent years, significant research efforts have been devoted to the optimal planning of power systems. SUBSTATION EXPANSION PLANNING (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders to meet the future demand. The large number of design variables, and combination of discrete and continuous variables makes the SUBSTATION EXPANSION PLANNING a very challenging problem. So far, various methods have been presented to solve such a complicated problem. Since the BACTERIAL FORAGING OPTIMIZATION ALGORITHM (BFOA) has been proper results in studies of power systems, and has not been applied to SEP problem yet, this paper develops a new BFO-based method to solve the SEP problem. The technique discussed in this paper uses BFOA to simultaneously optimize the sizes and locations of both the existing and new installed substation and feeders by considering reliability constraints. To clarify the capabilities of the presented method a typical network is considered and the results of applying GA and BFOA on the network are compared. The simulation results demonstrate that the BFOA has the potential to find more optimal results than the other algorithm under the same conditions. Also, the fast convergence, consideration of real-world networks limitations as problem constraints and simplicity in applying to large scale networks are the main features of the proposed method.

Cites

No record.

References

OPTIMAL SIZE AND SITING OF MULTIPLE DISTRIBUTED GENERATORS IN DISTRIBUTION SYSTEM USING BACTERIAL FORAGING OPTIMIZATION

Cite

APA: Copy

KIANI RAD, H., & MORAVEJ, Z.. (2015). SUBSTATION EXPANSION PLANNING BASED ON BFOA. INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING, 4(3), 177-184. SID. https://sid.ir/paper/686713/en

Vancouver: Copy

KIANI RAD H., MORAVEJ Z.. SUBSTATION EXPANSION PLANNING BASED ON BFOA. INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING[Internet]. 2015;4(3):177-184. Available from: https://sid.ir/paper/686713/en

IEEE: Copy

H. KIANI RAD, and Z. MORAVEJ, “SUBSTATION EXPANSION PLANNING BASED ON BFOA,” INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING, vol. 4, no. 3, pp. 177–184, 2015, [Online]. Available: https://sid.ir/paper/686713/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops