Optimal configuration of underground cables to maximise total ampacity considering current harmonics

Zarchi, Davoud Abootorabi; Vahidi, B.; Haji, Moosa Moghimi

doi:10.1049/iet-gtd.2013.0349

Cited by 22 publications

(8 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ocło n et al [6,7] momentum-type Particle Swarm Optimization finding the thermal backfill layer cross-sectional area, which allows obtaining the cable core temperature lower than 65 C Cichy et al [12] Genetic Algorithm selection of an optimal power cable conductor cross-section and the dimensions of a cable backfill taking into account the material and labor costs in the production of a power cable as well as the cost of losses during its operation. Zachri et al [13] PSO and Shuffled Frog Leaping algorithm optimal configuration of the cables in a duct bank considering the current harmonics and their effect on sheath losses Zarchi and…”

Section: Studymentioning

confidence: 99%

See 1 more Smart Citation

Multiobjective optimization of underground power cable systems

Ocłoń

Rerak

Rao

et al. 2021

Energy

View full text Add to dashboard Cite

This paper presents a modified Jaya algorithm (MJaya) for optimizing the material costs and electricthermal performance of an Underground Power Cable System (UPCS). Three power cables arranged in flat formation are considered. Three XLPE high voltage cables are situated in the thermal backfill layer for ensuring the optimal thermal performance of the cable system. The cable backfill dimensions, cable backfill material, and cable conductor area are selected as design variables in the optimization problem. In the study, the Finite Element Method model is validated experimentally. The Particle Swarm Optimization (PSO), Jaya, and MJaya algorithms are used for multiobjective optimization in order to design a cable system in such a way to minimize the cable backfill costs and maximize the allowable electric current flowing through the cables. For the case study, calculations performed using the Jaya algorithm indicated 1.7 mln Euro cable system costs while cable ampacity is equal to I ¼ 1460 A. The calculations are performed for the objective function values equal to w 1 ¼ 0.5 and w 2 ¼ 0.5. Such an optimization parameters set allow obtaining low costs of UPCS alongside with reasonable cable line ampacity. What is more, the results of the optimization obtained by Jaya, MJaya, and PSO algorithms are compared. Therefore, Coverage and Hypervolume metrics are incorporated. It is concluded that both the Jaya and MJaya algorithms performed better when compared to the PSO algorithm.

show abstract

Section: Studymentioning

confidence: 99%

“…Zachri et al [13] developed a method to find the optimal configuration of the cables in a duct bank considering the current harmonics and their effect on sheath losses. Two optimization algorithms, PSO and Shuffled Frog Leaping algorithms, were used.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective optimization of underground power cable systems

Ocłoń

Rerak

Rao

et al. 2021

Energy

View full text Add to dashboard Cite

show abstract

“…Some publications used the traditional IEC-based method in an attempt to optimise cable ampacity [20,21] while few publications introduced the gradient optimisation method based on sensitivity derived coefficient to optimise non-geometrical parameters of the thermal circuit described by a given continuous objective function [22][23][24][25]. A stochastic optimisation algorithm based on radial basis function interpolating scattered multi-quadric ampacity approximations has been reported in [26].…”

Section: Introductionmentioning

confidence: 99%

PSO of power cable performance in complex surroundings

Al-Saud

2018

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

“…This study uses the image filaments to model the pipe in the balanced sinusoidal current. Power cable losses are computed by using alternating current conductor resistance by analytical relations in Zarchi et al It is used to determine the duct bank cable system ampacity in harmonic currents. Conductor currents are balanced, and thermal analysis is performed by analytical method with consideration of high distances between cables.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic and thermal analysis of underground power solid‐conductor cables under harmonic and unbalancing currents based on FEM

Rasoulpoor

Mirzaie

Mirimani

2017

Int J Numerical Modelling

View full text Add to dashboard Cite

In this paper, electromagnetic and thermal analyses are performed on underground power solid-conductor cables under harmonic and unbalancing currents. The loss, life time, and produced magnetic field are calculated. Different balanced and unbalance load currents and also sinusoidal and harmonic profiles are considered. Moreover, the effects of different distances between cables are analyzed. Power cable losses and produced magnetic fields around power cables are computed based on electromagnetic analysis by using finite element method. Furthermore, finite element method thermal simulations are conducted to determine the cable life time based on Arrhenius model. Underground medium-voltage cables with metallic sheaths in flat and trefoil formations are considered. Metallic sheaths are bonded together and grounded in the single point or both ends. So, the effects of eddy and circulating currents of sheaths on power cable parameters are studied. Simulation results show the important effects of unbalancing and harmonic currents on the power cables parameters. Also, the effects are dependent on the harmonic frequency orders, installation method, and grounding system types.KEYWORDS electrical analysis, finite element method, magnetic field, power cable, thermal analysis

show abstract

Optimal configuration of underground cables to maximise total ampacity considering current harmonics

Cited by 22 publications

References 12 publications

Multiobjective optimization of underground power cable systems

Multiobjective optimization of underground power cable systems

PSO of power cable performance in complex surroundings

Electromagnetic and thermal analysis of underground power solid‐conductor cables under harmonic and unbalancing currents based on FEM

Contact Info

Product

Resources

About