Transactions on Engineering and Computer Science
Real Power Loss Reduction by Moth Search and Intermingled Algorithm’s
Kanagasabai Lenin
Abstract
In this article Moth Search Algorithm (MSA) and Intermingled algorithm (IA) is proposed to solve optimal reactive power problem. Moths are associated in to the order Lepidoptera. Amongst the characteristics of moths, the phototaxis and Levy flights are main features. Phototaxis and Levy flights of moths are used for formulating the algorithm. Moth will impulsively be inclined to do in most excellent mode to regulate the flight orientation such that it moves towards the light source but be the for source for flying moths that tumbling downward. In this article Intermittent search strategy, Eagle strategy, and Flower pollination algorithm has been combined (called as intermingled algorithm) to solve the optimal reactive power problem. At first in the exploration stage Intermittent search strategy is utilized then Eagle strategy is combined; first stage it does the exploration and latter it will do exploitation. Finally, Flower pollination algorithm is utilized to upgrade the process of the algorithm. Proposed Moth Search Algorithm (MSA) and Intermingled algorithm (IA) has been tested in standard IEEE 14, 30 bus test systems and simulation results show the projected algorithms reduced the real power loss efficiently.
Keywords: Optimal reactive power, Transmission loss, Moth search, Intermingled algorithm
Journal Information
- Journal Name: Transactions on Engineering and Computer Science
- Journal Short Name: Trans Eng Comput Sci
- Language: English
- Format of Publication: Online
- Starting Year: 2020
- Focus Subject: Engineering and Computer Science
- Publication Model: Online
- Frequency of Publication: Two Issue a Year
- Review Process: Single blind peer-review by referees
- Time to 1st Decision: 2 to 3 weeks from date of submission
- Time to Acceptance: 4 to 6 weeks, depending upon the required revision cycles
- Time to Publication: 1 to 3 weeks from date of final submission in the forthcoming issue
- DOI Prefix: 10.7620
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