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Enhanced Symbiotic Organisms Search and Hydrological Cycle Algorithms for Real Power Loss Diminution and Voltage Stability Enhancement

Enhanced Symbiotic Organisms Search and Hydrological Cycle Algorithms for Real Power Loss Diminution and Voltage Stability Enhancement

Lenin Kanagasabai
Copyright: © 2022 |Pages: 32
ISBN13: 9781799874478|ISBN10: 1799874478|ISBN13 Softcover: 9781799874485|EISBN13: 9781799874492
DOI: 10.4018/978-1-7998-7447-8.ch007
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MLA

Kanagasabai, Lenin. "Enhanced Symbiotic Organisms Search and Hydrological Cycle Algorithms for Real Power Loss Diminution and Voltage Stability Enhancement." Modeling and Control of Static Converters for Hybrid Storage Systems, edited by Arezki Fekik and Nacereddine Benamrouche, IGI Global, 2022, pp. 175-206. https://doi.org/10.4018/978-1-7998-7447-8.ch007

APA

Kanagasabai, L. (2022). Enhanced Symbiotic Organisms Search and Hydrological Cycle Algorithms for Real Power Loss Diminution and Voltage Stability Enhancement. In A. Fekik & N. Benamrouche (Eds.), Modeling and Control of Static Converters for Hybrid Storage Systems (pp. 175-206). IGI Global. https://doi.org/10.4018/978-1-7998-7447-8.ch007

Chicago

Kanagasabai, Lenin. "Enhanced Symbiotic Organisms Search and Hydrological Cycle Algorithms for Real Power Loss Diminution and Voltage Stability Enhancement." In Modeling and Control of Static Converters for Hybrid Storage Systems, edited by Arezki Fekik and Nacereddine Benamrouche, 175-206. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-7447-8.ch007

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Abstract

In this chapter, enhanced symbiotic organisms search (ESOS) algorithm and hydrological cycle (HC) algorithm are projected to solve factual power loss lessening problem. Symbiotic search algorithm is based on the actions between two different organisms in the ecosystem: mutualism, commensalism, and parasitism. Exploration procedure has been initiated arbitrarily, and each organism indicates a solution with fitness value. Quasi-oppositional-based learning and chaotic local search have been applied to augment the performance of the algorithm. In this work, hydrological cycle (HC) algorithm has been utilized to solve the optimal reactive power problem. It imitates the circulation of water form land to sky and vice versa. Only definite number of water droplets is chosen for evaporation, and it is done through roulette-wheel selection method. In the condensation stage, water drops move closer, combine, and also collusion occurs as the temperature decreases.

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