Abstract
In this paper, Apidae Algorithm (AA) is proposed for solving reactive power problem. Apidae Algorithm, inspired from the natural foraging behaviour of Apidae, & it has been utilized to solve the reactive power problem. The AA algorithm carry out the intensified neighbourhood search united with a random mode exploration search. Efficiency of the projected Apidae Algorithm (AA) is validated by evaluating in standard IEEE 118, 300 bus test systems. Simulated outcomes shows that active power loss has been reduced with variables are within the limits.
Highlights
Main aim of this work is to reduce the real power loss & to keep the variables within the limits
The Apidae Algorithm (AA) algorithm carry out the intensified neighbourhood search united with a random mode exploration search
Simulated outcomes shows that active power loss has been reduced with variables are within the limits
Summary
“DIMINISHING OF TRUE POWER LOSS BY APIDAE ALGORITHM.” International Journal of Research - Granthaalayah, 6(12), 84-89. Main aim of this work is to reduce the real power loss & to keep the variables within the limits. In this work Apidae Algorithm, is applied for solving reactive power optimization problem. Apidae Algorithm, inspired from the natural foraging behaviour of Apidae, & it has been utilized to solve the reactive power problem.
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