Mathematical modeling of electric power flow and the minimization of power losses on transmission lines

Bamigbola, O. M.; Ali, M. Montaz; Oke, M. O.

doi:10.1016/j.amc.2014.05.039

Cited by 37 publications

(29 citation statements)

References 10 publications

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“…High-voltage power lines are key components of the power transmission infrastructure to compensate for the long transmission distances and to reduce electricity transmission losses [1]. Globally, high-voltage power lines will increase from 5.5 million km in 2014 to 6.8 million km in 2020.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data

Qin

et al. 2017

Remote Sensing

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Overhead high-voltage power lines are key components of power transmission and their monitoring has a very significant influence on security and reliability of power system. Advanced laser scanning techniques have been widely used to capture three-dimensional (3D) point clouds of power system scenes. Nevertheless, power line corridors are found in increasingly complex environments (e.g., mountains and forests), and the multi-loop structure on the same power line tower raises great challenges to process light detection and ranging (LiDAR) data. This paper addresses these challenges by constructing a new collection mode of LiDAR data for power lines using cable inspection robot (CIR). A novel method is proposed to extract and reconstruct power line using CIR LiDAR data, which has two advantages: (1) rapidly extracts power line point by position and orientation system (POS) extraction model; and (2) better solves pseudo-line during reconstruction of power line by structured partition. The proposed method mainly includes four steps: CIR LiDAR data generation, POS-based crude extraction, voxel-based accurate extraction and power line reconstruction. The feasibility and validity of the proposed method are verified by test site experiment and actual line experiment, demonstrating a fast and reliable solution to accurately reconstruct power line.

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Section: Introductionmentioning

confidence: 99%

A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data

Qin

et al. 2017

Remote Sensing

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show abstract

“…for voltage downstepping) interfacing between transmission and sub-transmission lines. In the case of central generation mode, its main role is to economically transfer large quantity of electrical power at high voltage level over a great distance from generators to distribution system [16,17]. Moreover, it maximises power supply reliability and minimises electricity disruption risk by providing alternative transmission routes in case of any line failure [18].…”

Section: Overview Of Electric Power Systemmentioning

confidence: 99%

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

Theo

Lim

et al. 2017

Renewable and Sustainable Energy Reviews

243

105

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“…A sensitivity analysis technique was utilized to identify the optimal candidate locations for DG and capacitor placement. Bamigbola et al [23] proposed a mathematical model for minimizing power losses on transmission lines. The main objective of this paper was to address a well-known engineering problem, reducing the power losses to the barest minimum.…”

Section: Related Workmentioning

confidence: 99%

A hybrid MACO and BFOA algorithm for power loss minimization and total cost reduction in distribution systems

Sankaramoorthy¹,

Veeraraghavan²

2017

Turk J Elec Eng & Comp Sci

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This paper presents a multiobjective optimization methodology to optimally place a STATCOM in electric power distribution networks. The combination of multiobjective ant colony optimization (MACO) and the bacterial foraging optimization algorithm (BFOA) is proposed to minimize the power loss and total cost. The main intention of this analysis is to optimally place the STATCOM at multiple locations such as the transmission side, middle, and load side. Identifying the type and location of the STATCOM is a combinatorial optimization problem in power systems.In order to overcome this problem, the combination of hybrid MACO and BFOA algorithms is applied in this analysis to minimize the total cost and power loss. The total cost of the overall network is calculated by using system average interruption duration index and[ system average interruption frequency index metrics. Moreover, the BFOA is used in this paper to minimize the power loss during distribution, which is adequate in searching for the optimal solution.The problem of reducing power losses in distribution systems through the BFOA approach is described here for a 5-bus system. Test results of a 5-bus network show that the proposed MACO with BFOA method can efficiently ensure the power loss and total cost minimization.

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Mathematical modeling of electric power flow and the minimization of power losses on transmission lines

Cited by 37 publications

References 10 publications

A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data

A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

A hybrid MACO and BFOA algorithm for power loss minimization and total cost reduction in distribution systems

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