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Real power loss reduction by Duponchelia fovealis optimization and enriched squirrel search optimization algorithms

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Abstract

In this work, Duponchelia fovealis optimization (DFO) algorithm and enriched squirrel search optimization (ESSO) algorithm are designed to solve optimal reactive power problem. DFO algorithm is based on the natural progression of the Duponchelia fovealis. In the exploration space, Duponchelia fovealis population will act as search agent and the light source is considered as optimal places of Duponchelia fovealis which attained so far. Around the light source, each Duponchelia fovealis will explore and its position has been updated. Gaussian mutation, chaotic local search and Kernel extreme learning machine which are based on extreme learning machine are applied successively in order to perk up the performance of the algorithm. Then, in this work enriched squirrel search optimization (ESSO) algorithm is projected to solve the problem. Proposed algorithm is based on the actions of squirrel foraging behavior. Naturally, squirrels are very less active and consume the stored nuts in the winter time to get ample of energy. Hickory tree (hickory nuts are found), oak tree (acorn nuts are found) and normal tree are the three types of food sources for squirrel. Naturally, the behavior (foraging) will be varied with reference to the seasonal variations. Proposed Duponchelia fovealis optimization (DFO) algorithm and enriched squirrel search optimization (ESSO) algorithm have been tested in standard IEEE 30, bus test system. The results show that the projected DFO and ESSO algorithms reduced the power loss comprehensively. Mainly, projected Duponchelia fovealis optimization (DFO) algorithm and enriched squirrel search optimization (ESSO) algorithm solved the multi-objective formulation of the problem and with reference to power loss, voltage deviation minimization and voltage stability enhancement results have been analyzed.

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  1. Department of EEE, Prasad V. Potluri, Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, 520007, India

    Kanagasabai Lenin

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  1. Kanagasabai Lenin
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Lenin, K. Real power loss reduction by Duponchelia fovealis optimization and enriched squirrel search optimization algorithms. Soft Comput 24, 17863–17873 (2020). https://doi.org/10.1007/s00500-020-05036-x

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