Ant Colony Optimization based algorithm to determine the optimum route for overhead power transmission lines

Ebid, Ahmed M.; Abdel-Kader, Mohamed Y.; Mahdi, Ibrahim M.; Abdel-Rasheed, Ibrahim

doi:10.1016/j.asej.2023.102344

Cited by 11 publications

(2 citation statements)

References 27 publications

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“…Among these, the ACO algorithm based on the least-cost path is widely adopted. Ebid et al [17] used Visual Basic for Applications software package for algorithm programming, combined with MS EXCEL for data storage and graphical output, to propose a TLP model considering constraints. In response to the strong coupling between the parameters of the ACO algorithm in TLP, Fan et al [18] used a constant pheromone boundary range to improve the calculation speed while ensuring convergence accuracy.…”

Section: Introductionmentioning

confidence: 99%

Research on transmission line path planning model based on TFN‐AHP and ACO

Wang,

Hua,

Luo

et al. 2024

IET Generation Trans & Dist

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Transmission line planning is affected by a variety of geographic information factors, and traditional path planning methods are difficult to meet the future intelligent planning needs. Here, based on the geographic information system platform for geographic information data processing, the triangular fuzzy number analytic hierarchy process (TFN‐AHP) is utilized for weight analysis to construct the cost layer. Meanwhile, guided mechanism, dimension‐reducing mechanism, and avoidance mechanism are proposed to improve the ant colony optimization (ACO) algorithm, to shorten the planning time and improve the route planning effect. Finally, a local area in Guizhou Province is selected for case study and compared with the results of traditional ant colony optimization, and the results prove the effectiveness of the transmission line planning model proposed here.

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Section: Introductionmentioning

confidence: 99%

Research on transmission line path planning model based on TFN‐AHP and ACO

Wang,

Hua,

Luo

et al. 2024

IET Generation Trans & Dist

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“…ACO is also used to optimize the routing of "overhead power transmitting lines" (OHPTL). This method makes it possible to reduce costs by selecting a more optimal route [277]. Some of the energy problems that metaheuristics in the form of the cuckoo search optimiser (CSO) also address include the optimisation of photovoltaic systems to better match the output power to the current cell shading [278].…”

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confidence: 99%

Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue

Pijarski,

Belowski

2024

Energies

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The challenges currently faced by network operators are difficult and complex. Presently, various types of energy sources with random generation, energy storage units operating in charging or discharging mode and consumers with different operating characteristics are connected to the power grid. The network is being expanded and modernised. This contributes to the occurrence of various types of network operating states in practice. The appearance of a significant number of objects with random generation in the power system complicates the process of planning and controlling the operation of the power system. It is therefore necessary to constantly search for new methods and algorithms that allow operators to adapt to the changing operating conditions of the power grid. There are many different types of method in the literature, with varying effectiveness, that have been or are used in practice. So far, however, no one ideal, universal method or methodology has been invented that would enable (with equal effectiveness) all problems faced by the power system to be solved. This article presents an overview and a short description of research works available in the literature in which the authors have used modern methods to solve various problems in the field of power engineering. The article is an introduction to the special issue entitled Advances in the Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering. It is an overview of various current problems and the various methods used to solve them, which are used to cope with difficult situations. The authors also pointed out potential research gaps that can be treated as areas for further research.

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A multi-objective cost-loss optimization framework for optimal feeder routing problem of radial distribution networks

Ayazi,

Askarzadeh

2023

Soft Comput

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Ant Colony Optimization based algorithm to determine the optimum route for overhead power transmission lines

Cited by 11 publications

References 27 publications

Research on transmission line path planning model based on TFN‐AHP and ACO

Research on transmission line path planning model based on TFN‐AHP and ACO

Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue

A multi-objective cost-loss optimization framework for optimal feeder routing problem of radial distribution networks

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