REDUCTION OF ACTIVE POWER LOSS BY COYOTE SEARCH ALGORITHM
Journal Title: International journal of research -GRANTHAALAYAH - Year 2018, Vol 6, Issue 10
Abstract
This paper presents Coyote Search Algorithm (CSA) for solving optimal reactive power problem. Coyote Search Algorithm is a new bio – inspired heuristic algorithm which based on coyote preying behaviour. The way coyote search for food and survive by avoiding their enemies has been imitated to formulate the algorithm for solving the reactive power problem. And the specialty of coyote is possessing both individual local searching ability & autonomous flocking movement and this special property has been utilized to formulate the search algorithm. The proposed Coyote Search Algorithm (CSA) has been tested on standard IEEE 57 bus test system and simulation results shows clearly about the good performance of the proposed algorithm in reducing the real power loss.
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DEVELOPMENT AND VALIDATION OF TOOL ON PROBLEM SOLVING SKILL FOR HIGH SCHOOL STUDENTS
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A REVIEW OF EXPERIMENTAL STUDY AND CFD BASED SIMULATION OF CLOSED LOOP PULSATING HEAT PIPE
Closed loop pulsating heat pipe is very effective tool for removal of heat from very small electronic devices. In this study various literature related to CLPHP are studied and various parameters that effect the performa...
INTRAVENOUS APPLICATION OF HELIXOR® IN GYNECOLOGICAL ONCOLOGY: IS IT SAFE?
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WHY DOES THE STRUGGLE AROUND SRT CONTINUE TO THIS DAY?
The purpose of this article is not to criticize the theory of relativity, but to try to understand why, despite more than a century of dominance in physics, it is constantly criticized by physicists. In this paper, a tho...