Opposition based Russian Ice Hockey Optimization Algorithm for Power Loss Lessening and Stability Amplification

Abstract

In this paper, Opposition based Russian ice hockey optimization algorithm (ORIHO) is applied for solving the power loss lessening problem. Russian ice hockey optimization algorithm is stimulated by ice hockey playing methods which emphases on hockey puck fleeting and competitor locating. Ice hockey is a connexion midwinter squad game played on ice skateboards, customarily on a hoarfrost slithering arena with streaks and colorations explicit to the game. The competitor or player location signifies the contender solution. In the interim, the hockey puck location is the elucidation vector that will control the locus of the subsequent competitor. Moreover, players characterize a set of elucidation. Chaotic sequences are integrated into ORIHO algorithm. Tinkerbell chaotic map engendering standards are implemented. Opposition based Learning ORIHO algorithm utilize Laplace distribution to enhance the exploration skill. Then examining the prospect to widen the exploration, a new method endorses stimulating capricious statistics used in formation stage regulator factor in ORIHO algorithm. Proposed Opposition based ORIHO algorithm is corroborated in IEEE 30, 57, 118, 300 and 354 bus test systems. True power loss lessening, power divergence curtailing, and power constancy augmentation has been achieved

Please cite this article as:

Kanagasabai L. Opposition based Russian ice hockey optimization algorithm for power loss lessening and stability amplification. Herald of the Bauman Moscow State Technical University, Series Natural Sciences, 2025, no. 1 (118), pp. 82--99. EDN: FEQTXE

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