Optimal reactive power dispatch: a bibliometric analysis

Shanono, Ibrahim Haruna; Muhammad, Aisha; Abdullah, Nor Rul Hasma; Daniyal, Hamdan; Tiong, Meng Chung

doi:10.1186/s43067-020-00024-5

Cited by 20 publications

(2 citation statements)

References 60 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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“…Muhammad et al [29] designed fractional evolutionary processing for reactive power planning with FACTS devices. Shanono et al [30] did a bibliometric analysis of optimal reactive power dispatch.…”

Section: Introductionmentioning

confidence: 99%

Real Power Loss Reduction by Enhanced RBS Algorithm

Lenin¹

2021

JES

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In this paper enhanced red-breasted sapsucker (ERBS) algorithm has been proposed to solve the power loss lessening problem. RBS algorithm is designed on the copulate actions of RBS. Male RBS (MRBS) will attract the female with an exclusive tone. Concerning the concentration of the tone female RBS (FMBS) will progress in the direction of the MRBS. Various tone engendered by MRBS will catch the fancy of FRBS, and this action is analogous to data contribution in Evolutionary techniques. Naturally, so many MRBS will put huge efforts simultaneously to attract the FRBS for copulate. RBS has been integrated with the sine-cosine algorithm (SCA) and opposition-based learning (OBL). SCA process shifts resourcefully from exploration to exploitation by acclimatizing the functions. Solutions are frequently streamlined to the premium solution and optimization of the premium region of the exploration zone. OBL is one of the significant optimization procedures to improve the convergence pace of different optimization procedures. The successful execution of the OBL holds the assessment of the opposite population and present population in the analogous generation to find out the better contender solution. The proposed enhanced RBS (ERBS) algorithm is corroborated in IEEE 30 bus test systems. Power discrepancy compressed, power reliability amplified, and power loss condensed.

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Sooty Tern Optimization Algorithm for Economic Emission Dispatch Problem Integration with Wind Energy

Soni

Bhattacharjee

2023

Lecture Notes in Electrical Engineering

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Optimal reactive power dispatch: a bibliometric analysis

Cited by 20 publications

References 60 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 Enhanced RBS Algorithm

Sooty Tern Optimization Algorithm for Economic Emission Dispatch Problem Integration with Wind Energy

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