Improving Profile Parameters of the Power System Network using Krill Herd Algorithm with FACTS device: UPFC

Improving Profile Parameters of the Power System Network using Krill Herd Algorithm with FACTS device: UPFC

Sunil Kumar Jilledi Ph.D., M.Tech, BE

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Eritrea Institute of Technology

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Abstract

In the electric power system the optimal power flow plays a key role in optimal location, steady state operation point, minimization of generation cost, losses etc. Large Power transmission networks are facing lot of problems to improve the power profiles, improvement of losses, security constraints, and stability issues. The advent of Flexible AC Transmission System (FACTS) devices has led the controlling capabilities to improve the power profiles. Out of these Unified Power Flow Controller (UPFC) has the capability to improve all the three system variables namely line reactance, magnitude and phase angle difference of voltage across the line simultaneously or individually. Many natural inspired algorithms have implemented to solve the optimal power flow with incorporation of UPFC. The main scope of this paper is to implement the KRILL HERD ALGORITHM (KHA) a novel meta-heuristic approach which is influenced from the herding actions of the krill swarms search for food or communication with each other.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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How to Cite This Article

Sunil Kumar Jilledi. 2017. \u201cImproving Profile Parameters of the Power System Network using Krill Herd Algorithm with FACTS device: UPFC\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 17 (GJRE Volume 17 Issue F3).

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GJRE Volume 17 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification FOR Code: 090699

Submission ReceivedDecember 13, 2016
Peer Review Double Blind
Handling Editor
Accepted December 31, 2016
Published January 15, 2017

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v1.2

Issue date

July 24, 2017

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Total Score: 101

Country: Unknown

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: Sunil Kumar Jilledi (PhD/Dr. count: 0)

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