Minimization of harmonic distortion impact due to large‐scale fast charging station using Modified Lightning Search Algorithm and Pareto‐Fuzzy synergistic approach

In a developing country, electricity has become the necessity of the growth industries; thus, the distribution system power quality and reliability are crucial. With low carbon initiatives, renewable energy or distributed generation (DG) is a promising source of electricity and leads the complex distribution system. Vital rises in DGs in power grids will significantly impact the system reliability and security, especially in power losses and voltage profiles parameters. This research focuses on an optimization placement and size of DGs in distribution systems to minimize power loss and improve voltage profile using the Modified Lightning Search Algorithm (MLSA). This research has modelled the practical 69-bus radial distribution system. Then MLSA with a weight summation approach is used to identify the suitable location and size for the DGs in the design proposal stage. The optimization objectives are to reduce power losses and improve the voltage profile, especially at the connection point of DGs. Besides that, load profile, DGs constant load and the solar load in distribution system modelled using MATLAB software. The results of the simulation using MLSA indicated that the optimization allocation and sizes of solar DGs applied with current load and load changes can minimize the power losses and improve voltage profile. These results verify the proposed approach’s effectiveness and success in determining the optimal location and sizing of solar DGs to reduce power losses as well as improve voltage profiles.

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“…characteristic. The detail on four enhancements made at the original LSA to produce MLSA are at [19][20][21][22].…”

Section: Power Loss and Voltage Profilementioning

confidence: 99%

Power loss mitigation and voltage profile improvement by optimizing distributed generation

Nasir

Othman

Ayop

et al. 2022

J. Phys.: Conf. Ser.

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“…Due to the complexity of the distribution system, especially after the rapid development of EV and the presence of distributed generation, a modified version of the LSA algorithm (MLSA) has been used in [ 91 ] to find the optimal solution. Mainly, MLSA has been used to identify optimized locations and sizes for three sets of filters in the 33-bus radial distribution system.…”

Section: Application Of Lightning Search Algorithmmentioning

confidence: 99%

Lightning search algorithm: a comprehensive survey

et al. 2020

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The lightning search algorithm (LSA) is a novel meta-heuristic optimization method, which is proposed in 2015 to solve constraint optimization problems. This paper presents a comprehensive survey of the applications, variants, and results of the so-called LSA. In LSA, the best-obtained solution is defined to improve the effectiveness of the fitness function through the optimization process by finding the minimum or maximum costs to solve a specific problem. Meta-heuristics have grown the focus of researches in the optimization domain, because of the foundation of decision-making and assessment in addressing various optimization problems. A review of LSA variants is displayed in this paper, such as the basic, binary, modification, hybridization, improved, and others. Moreover, the classes of the LSA’s applications include the benchmark functions, machine learning applications, network applications, engineering applications, and others. Finally, the results of the LSA is compared with other optimization algorithms published in the literature. Presenting a survey and reviewing the LSA applications is the chief aim of this survey paper.

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“…The important equations used in MLSA are approximately similar to LSA. There are four improvements that made at existing LSA to produce MLSA which detail out at [9,12]. Load flow technique that use in this research presented in detailed at [9,12,22,23].…”

Section: Passive Filter Modellingmentioning

confidence: 99%

“…There are four improvements that made at existing LSA to produce MLSA which detail out at [9,12]. Load flow technique that use in this research presented in detailed at [9,12,22,23]. Multi-objective technique which are WSA and Pareto also been presented in detail at [9,12].…”

Section: Passive Filter Modellingmentioning

confidence: 99%

“…There are many approaches introduced to overcome these problems in improving the distribution system performance. In the case of power losses problem, the most popular approaches nowadays are by placing a capacitor bank [8], filter placement [9] and coordinating EV charging schedule [10]. Next, filter placement [9] and improving CS topology [11] are the examples of approaches which can be used in minimizing harmonic distortion impact in distribution system caused by CS.…”

Section: Introductionmentioning

confidence: 99%

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Minimizing harmonic distortion impact cause by CS using meta heuristic technique

2019

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Non-linear load in the distribution system has caused negative impact to its power quality especially on harmonic distortion. Charging Station (CS) is a non-linear load that widely promoted with the aim to support the continuous usage of Electric Vehicle (EV). This research is focusing on optimal placement and sizing of multiple passive filter to mitigate harmonic distortion due to CS usage at distribution system. There are 6 units of CS which being placed in low voltage buses which indirectly will inject harmonic to the system during charging. Power system harmonic flow, passive filter, CS, battery and the analysis will be model in MATLAB. Multi-objective function which are weight summation approach (WSA) and Pareto Front are used to assist meta heuristic technique which is Modified Lightning Search Algorithm (MLSA) to identify optimum location and sizing of passive filter based on improvement on propose five parameters. From the result, the optimal placements and sizing of passive filter able to reduce the maximum Total Harmonic Distortion (THD) for voltage, current and apparent losses respectively. Therefore, the propose method is suitable to reduce harmonic distortion as well as apparent losses at distribution system with present of CS.

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Minimization of harmonic distortion impact due to large‐scale fast charging station using Modified Lightning Search Algorithm and Pareto‐Fuzzy synergistic approach

Cited by 7 publications

References 22 publications

Power loss mitigation and voltage profile improvement by optimizing distributed generation

Power loss mitigation and voltage profile improvement by optimizing distributed generation

Lightning search algorithm: a comprehensive survey

Minimizing harmonic distortion impact cause by CS using meta heuristic technique

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