Optimal Capacitor Placement for Loss Reduction in Distribution Systems Using Bat Algorithm

Reddy, V. Usha; Gowri, T.; Reddy, P. Sreenivasula

doi:10.9790/3021-021052327

Cited by 40 publications

(4 citation statements)

References 19 publications

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“…On the basis of the abovementioned behavior of bats, Xin-She Yang developed a new metaheuristic optimization algorithm in 2010 [33]. Microbats use echolocation to navigate environments, detect prey, and locate crevices for roosting in the dark [33][34][35]. The echolocation process involves emitting a loud sound pulse and then listening to it as it bounces back from objects.…”

Section: Bat Algorithmmentioning

confidence: 99%

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Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm

et al. 2018

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The vibrant, noiseless, and low-maintenance characteristics of photovoltaic (PV) systems make them one of the fast-growing technologies in the modern era. This on-demand source of energy suffers from low-output efficiency compared with other alternatives. Given that PV systems must be installed in outdoor spaces, their efficiency is significantly affected by the inevitable complication called partial shading (PS). Partial shading occurs when different sections of the solar array are subjected to different levels of solar irradiance, which then leads to a multiple-peak function in the output characteristics of the system. Conventional tracking techniques, along with some nascent/novel approaches used for the tracking maximum power point (MPP), are unsatisfactory when subjected to PS, eventually leading to the reduced efficiency of the PV system. This study aims at investigating the use of the bat algorithm (BA), a nature-inspired metaheuristic algorithm for MPP tracking (MPPT) subjected to PS conditions. A brief explanation of the behavior of the PV system under the PS condition and the advantages of using BA for estimating the MPPT of the PV system under PS condition is discussed. The deployment of the BA for the MPPT in PV systems is then explained in detail highlighting the simulation results which verifies whether the proposed method is faster, more efficient, sustainable and more reliable than conventional and other soft computing-based methods. Three testing conditions are considered in the simulation, and the results indicate that the proposed technique has high efficiency and reliability even when subjected to an acute shading condition.

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Section: Bat Algorithmmentioning

confidence: 99%

“…Nearly all metaheuristic algorithms are used for global optimization. A detailed explanation of BA can be found in references [33][34][35][36], and a summary of the theory and operation of the algorithm is presented in the subsequent section.…”

Section: Bat Algorithmmentioning

confidence: 99%

Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm

et al. 2018

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“…In the area of image processing, it was used to full body human pose estimation (Abdel-Rahman et al, 2012), Image matching (Du and Liu, 2012). In Other Applications, we can find its application in: optimal capacitor placement for loss reduction in distribution systems (Reddy and Manoj, 2012) and exergy modelling (Lemma et al, 2011, Tamiru andHashim, 2013). In the scheduling area, Marichelvam and al.…”

Section: A Brief Reviewmentioning

confidence: 99%

A Bat Algorithm with Generalized Walk for the Two-Stage Hybrid Flow Shop Problem

Dekhici

Belkadi

2015

International Journal of Decision Support System Technology

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In the last years, a set of bio-inspired metaheuristics has proved their efficiencies in combinational and continues optimization areas. This paper intends to hybrid a discrete version of Bat Algorithm (BA) with Generalized Evolutionary Walk Algorithm (GEWA) to solve the mono-processors two stages Hybrid Flow Shop scheduling. The authors compare the modified bat algorithm with the original one, with Particle Swarm Optimization (PSO) and with others results taken from literature. Computational results on a standard two-stage hybrid flow shop benchmark of 70 cases, and about 1700 instances, indicate that the proposed algorithm finds the best makespan (Cmax) in a good processing time comparing to the original bat algorithm and other algorithms.

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“…It is based on the observation of behavior of cuckoo birds breeding. CSA has been successfully utilized to identify the best location and maintaining voltage profile [5]. This paper presents the application of cuckoo search algorithm for capacitor placement in distribution system.…”

Section: Introductionmentioning

confidence: 99%

Cuckoo Search Algorithm in Loss Minimization via Capacitor Placement in Distribution System

Mokhtar

Zaid

Musirin

et al. 2015

AMM

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Improper placement of capacitor as one of the compensating devices will lead to under-compensation or over-compensation which may lead to possible monetary losses. Thus optimization process has become a priori to address this problem. This paper presents cuckoo search algorithm in loss minimization via capacitor placement in distribution system. Implementation of sensitivity analysis for location identification; followed by optimal sizing determination via cuckoo search is a remarkable effort for the compensating scheme. Validation on a reliability test model, namely the IEEE 33-bus radial distribution system has indicated promising results. With the development of optimization engine, an attempt to assess its feasibility can be done through the implementation on larger test system. This is demonstrated by the simulation results, which revealed that cuckoo is feasible in ensuring loss has been minimized while maintaining voltage level within the acceptable range

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Optimal Capacitor Placement for Loss Reduction in Distribution Systems Using Bat Algorithm

Cited by 40 publications

References 19 publications

Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm

Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm

A Bat Algorithm with Generalized Walk for the Two-Stage Hybrid Flow Shop Problem

Cuckoo Search Algorithm in Loss Minimization via Capacitor Placement in Distribution System

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