PSO Based Optimal Reactive Power Dispatch for the Enrichment of Power System Performance

Manasvi, K.; Rao, B. Venkateswara; Devarapalli, Ramesh; Prasad, Upendra

doi:10.1007/978-981-15-7994-3_24

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…Moreover, these techniques do not guarantee a global optimal solution and often get stuck in local optima. Recent trends to solve power system network problems using metaheuristic have offered significant advantages over the conventional ones [9][10][11][12]. Different optimization techniques such as sine cosine [13], chaotic bat algorithm [14], teaching-learning-based algorithm (TLBO) [15], cuckoo search algorithm (CSA) [16], gravitational-based search algorithm (GSA) [17] and grey wolf optimizer (GWO) have been used to obtain the solution of the ORPD problem.…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Artificial-Hummingbird-Algorithm-Based Framework for Optimal Reactive Power Dispatch Considering Renewable Energy Sources

et al. 2022

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This paper proposes a new artificial hummingbird algorithm (AHA)-based framework to investigate the optimal reactive power dispatch (ORPD) problem which is a critical problem in the capacity of power systems. This paper aims to improve the performance of power systems by minimizing two distinct objective functions namely active power loss in the transmission network and total voltage deviation at the load buses subjected to various constraints within multiobjective framework. The proposed AHA-based framework maps the inherent flight and foraging capabilities exhibited by hummingbirds in nature to determine the best settings for the control variables (i.e., voltages at generation buses, the tap positions of on-load tap-changing transformers (OLTCs) and the size of switchable shunt VAR compensators) to minimize the overall objective functions. A multiobjective optimal reactive power dispatch framework (MO-ORPD) considering renewable energy sources (RES) and load uncertainties is also proposed to minimize the individual objectives simultaneously. The competency and robustness of the proposed AHA-based framework is validated and tested on IEEE 14 bus and IEEE 39 bus test systems to solve the ORPD problem. Eventually, the results are compared with other well-known optimization techniques in the literature. Box plots and statistical tests using SPSS are performed and validated to justify the effectiveness of the proposed framework.

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Section: Introductionmentioning

confidence: 99%

A Multiobjective Artificial-Hummingbird-Algorithm-Based Framework for Optimal Reactive Power Dispatch Considering Renewable Energy Sources

et al. 2022

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

Chaitanya¹,

Rao²,

Bakkiyaraj

2021

2021 31st Australasian Universities Power Engineering Conference (AUPEC)

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PSO Based Optimal Reactive Power Dispatch for the Enrichment of Power System Performance

Cited by 6 publications

References 20 publications

A Multiobjective Artificial-Hummingbird-Algorithm-Based Framework for Optimal Reactive Power Dispatch Considering Renewable Energy Sources

A Multiobjective Artificial-Hummingbird-Algorithm-Based Framework for Optimal Reactive Power Dispatch Considering Renewable Energy Sources

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

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

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