TLBO based Voltage Stable Environment Friendly Economic Dispatch Considering Real and Reactive Power Constraints

Verma, H. K.; Mafidar, Prachi

doi:10.1007/s40031-013-0053-0

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…This paper proposes Enriched Big Bang-Big Crunch (EBC) algorithm is proposed to solve the reactive power problem. One of the well-known models in theoretical physics is the Big Bang theory for illustration of the universe existence and its evolution from the past known historical spans over its [21] which have been applied in many works including economic power systems [22,23] and signal processing [24]. On the one hand, the BB-BC algorithm has been started from theoretical concepts of cosmological physics.…”

Section: Introductionmentioning

confidence: 99%

Dwindling of Real Power Loss by Enriched Big Bang-Big Crunch Algorithm

Lenin¹

2018

IJ-AI

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In this paper, Enriched Big Bang-Big Crunch (EBC) algorithm is proposed to solve the reactive power problem. The problem of converging to local optimum solutions occurred for the Bang-Big Crunch (BB-BC) approach due to greedily looking around the best ever found solutions. The proposed algorithm takes advantages of typical Big Bang-Big Crunch (BB-BC) algorithm and enhances it with the proper balance between exploration and exploitation factors. Proposed EBC algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the improved performance of the proposed algorithm in reducing the real power loss.

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Section: Introductionmentioning

confidence: 99%

Dwindling of Real Power Loss by Enriched Big Bang-Big Crunch Algorithm

Lenin¹

2018

IJ-AI

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“…One of the well-known models in theoretical physics is the Big Bang theory for illustration of the universe existence and its evolution from the past known historical spans over its large-scale evolution. A novel optimization algorithm named Big Bang-Big Crunch algorithm(BB-BC) based on these theories is first initiated in [24] which have been applied in many works including economic power systems [25,26] and signal processing [27]. On the one hand, the BB-BC algorithm has been started from theoretical concepts of cosmological physics.…”

Section: Introductionmentioning

confidence: 99%

Memory-enriched big bang–big crunch optimization algorithm for data clustering

Bijari

Zare

Veisi

et al. 2016

Neural Comput & Applic

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Cluster analysis plays an important role in decision making process for many knowledge-based systems. There exist a wide variety of different approaches for clustering applications including the heuristic techniques, probabilistic models, and traditional hierarchical algorithms. In this paper, a novel heuristic approach based on big bang-big crunch algorithm is proposed for clustering problems. The proposed method not only takes advantage of heuristic nature to alleviate typical clustering algorithms such as k-means, but it also benefits from the memory based scheme as compared to its similar heuristic techniques. Furthermore, the performance of the proposed algorithm is investigated based on several benchmark test functions as well as on the well-known datasets. The experimental results shows the significant superiority of the proposed method over the similar algorithms.

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Equilibrium Optimizer-Based Optimal Allocation of SVCs for Voltage Regulation and Loss Minimization

Joshi¹,

Verma²

2021

Artificial Intelligence and Sustainable Computing

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TLBO based Voltage Stable Environment Friendly Economic Dispatch Considering Real and Reactive Power Constraints

Cited by 5 publications

References 13 publications

Dwindling of Real Power Loss by Enriched Big Bang-Big Crunch Algorithm

Dwindling of Real Power Loss by Enriched Big Bang-Big Crunch Algorithm

Memory-enriched big bang–big crunch optimization algorithm for data clustering

Equilibrium Optimizer-Based Optimal Allocation of SVCs for Voltage Regulation and Loss Minimization

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