Solution of an Optimal Reactive Power Dispatch problem: An application of Modified Ant Lion Optimizer

Chaitanya, S. N. V. S. K.; Rao, B. Venkateswara; Bakkiyaraj, R. Ashok

doi:10.1109/aupec52110.2021.9597756

Cited by 6 publications

(1 citation statement)

References 18 publications

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“…Abundant customary procedures [1][2][3][4][5][6] are betrothed nonetheless systematic hitches are set up with retrenchments. These eternities Evolutionary methods [7][8][9][10][11][12][13] are engaged. Choosing certain parameters to Modernize -Grounded Algorithm (CCM) is applied to solve the power loss lessening problem.…”

Section: Introductionmentioning

confidence: 99%

Real Power Loss Reduction by Choosing Certain Parameters to Modernize – Grounded Algorithm

Lenin

2022

Advances in Transdisciplinary Engineering

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In this paper choosing certain parameters to Modernize – Grounded Algorithm (CCM) is sculpted for untying loss descendant problem. The procedure of modernizing populace associates in the projected CCM observes to double values. The chief norm is that certain associates of the populace might be in a condition wherever if lone standards of certain parameters alter, they determined to be in an improved location as a substitute of altering all of the parameters. Consequently, in the projected CCM, the quantity of parameters nominated for the modernization procedure is fixed in iterations. The next standard is to stop the algorithm populace modernize procedure from depend on precise associates. Depend on procedure modernization to explicit associates of the populace influence the procedure to congregate in the direction of the local optimal solution and avert precise perusing of the examination region to achieve the universal optimal solution. Stoutness of the Choosing certain parameters to Modernize – Grounded Algorithm (CCM) corroborated in IEEE 30 bus test system. Diminution of loss has been accomplished.

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Section: Introductionmentioning

confidence: 99%

Real Power Loss Reduction by Choosing Certain Parameters to Modernize – Grounded Algorithm

Lenin

2022

Advances in Transdisciplinary Engineering

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SHuffled Ant Lion Optimization approach with an exponentially weighted random walk strategy

Durgut,

Tozak,

Ayvaz

2024

Neural Comput & Applic

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Ant Lion Optimization (ALO) method is one of the population-based nature-inspired optimization algorithms which mimics the hunting strategy of antlions. ALO is successfully employed for solving many complicated optimization problems. However, it is reported in the literature that the original ALO has some limitations such as the requirement of high number of iterations and possibility of trapping to local optimum solutions, especially for complex or large-scale problems. For this purpose, the SHuffled Ant Lion Optimization (SHALO) approach is proposed by conducting two improvements in the original ALO. Performance of the proposed SHALO approach is evaluated by solving some unconstrained and constrained problems for different conditions. Furthermore, the identified results are statistically compared with the ones obtained by using the original ALO, two improved ALOs which are the self-adaptive ALO (saALO) and the exponentially weighted ALO (EALO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) approaches. Identified results indicated that the proposed SHALO approach significantly improves the solution accuracy with a mean success rate of 76% in terms of finding the global or near-global optimum solutions and provides better results than ALO (22%), saALO (25%), EALO (14%), GA (28%), and PSO (49%) approaches for the same conditions.

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Scenario-Based Approach to Solve Optimal Reactive Power Dispatch Problem with Integration of Solar Energy Using Modified Ant Line Optimizer

Chaitanya,

Bakkiyaraj,

Rao

et al. 2023

SN COMPUT. SCI.

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Solution of an Optimal Reactive Power Dispatch problem: An application of Modified Ant Lion Optimizer

Cited by 6 publications

References 18 publications

Real Power Loss Reduction by Choosing Certain Parameters to Modernize – Grounded Algorithm

Real Power Loss Reduction by Choosing Certain Parameters to Modernize – Grounded Algorithm

SHuffled Ant Lion Optimization approach with an exponentially weighted random walk strategy

Scenario-Based Approach to Solve Optimal Reactive Power Dispatch Problem with Integration of Solar Energy Using Modified Ant Line Optimizer

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