VOLTAGE SECURITY ENHANCEMENT AND CONGESTION MANAGEMENT VIA STATCOM & IPFC USING ARTIFICIAL INTELLIGENCE

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.

KARAMI A.; RASHIDINEZHAD M.; GHARAH VEYSI A.A.

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

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING Year:2007 | Volume:31 | Issue:B3 Page(s): 289-301

Download Full-Text

Persian Verion

View:

875

Download:

260

Cites:

Information Journal Paper

Title

VOLTAGE SECURITY ENHANCEMENT AND CONGESTION MANAGEMENT VIA STATCOM & IPFC USING ARTIFICIAL INTELLIGENCE

Author(s)

KARAMI A. | RASHIDINEZHAD M. | GHARAH VEYSI A.A. | Issue Writer Certificate

Keywords

VOLTAGE SECURITYQ3

CONGESTION MANAGEMENTQ3

STATCOMQ3

IPFCQ3

RGAQ3

Abstract

VOLTAGE SECURITY and CONGESTION MANAGEMENT are crucial issues in power systems, especially under heavily loaded conditions. In the new scheme of electricity restructuring, VOLTAGE SECURITY problems become even more serious. Due to the increase in stability margins, FACTS devices are the best option to mitigate voltage instability by reactive power management. The main purpose of this paper is to identify the optimal location and capacity of the Static Synchronous Compensator (STATCOM) to enhance VOLTAGE SECURITY and identify the capacity of a properly placed IPFC to manage transmission network congestion simultaneously. Artificial intelligence is implemented as a heuristic technique to this complicated constrained optimization problem. The proposed method demonstrates the improvement of the VOLTAGE SECURITY margin, as well as solving CONGESTION MANAGEMENT problems. Significant results through a modified IEEE 14-bus case study show the effectiveness of the proposed algorithm.

Cites

No record.

References

No record.

Cite

APA: Copy

KARAMI, A., RASHIDINEZHAD, M., & GHARAH VEYSI, A.A.. (2007). VOLTAGE SECURITY ENHANCEMENT AND CONGESTION MANAGEMENT VIA STATCOM & IPFC USING ARTIFICIAL INTELLIGENCE. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, 31(B3), 289-301. SID. https://sid.ir/paper/62348/en

Vancouver: Copy

KARAMI A., RASHIDINEZHAD M., GHARAH VEYSI A.A.. VOLTAGE SECURITY ENHANCEMENT AND CONGESTION MANAGEMENT VIA STATCOM & IPFC USING ARTIFICIAL INTELLIGENCE. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING[Internet]. 2007;31(B3):289-301. Available from: https://sid.ir/paper/62348/en

IEEE: Copy

A. KARAMI, M. RASHIDINEZHAD, and A.A. GHARAH VEYSI, “VOLTAGE SECURITY ENHANCEMENT AND CONGESTION MANAGEMENT VIA STATCOM & IPFC USING ARTIFICIAL INTELLIGENCE,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, vol. 31, no. B3, pp. 289–301, 2007, [Online]. Available: https://sid.ir/paper/62348/en

Related Journal Papers