The Optimization Algorithm of the Forced Current Cathodic Protection Base on Simulated Annealing

Song, Chunfeng; Wang, Mei; Qin, Xue-Bin; Wang, Pai; Liu, Bao

doi:10.3390/a12040083

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…When the PSO algorithm is used to a complicated multi-dimensional situation, it becomes difficult to escape the local optima and achieve the global optima due to specific restrictions. The SA method is used to solve the grounding design parameters issue in [ 9 , 23 ]. However, it has a slow convergence speed and parallel computing is challenging.…”

Section: Introductionmentioning

confidence: 99%

Optimization of substation grounding grid design for horizontal and vertical multilayer and uniform soil condition using Simulated Annealing method

et al. 2021

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Grounding systems are critical in safeguarding people and equipment from power system failures. A grounding system’s principal goal is to offer the lowest impedance path for undesired fault current. Optimization of the grounding grid designs is important in satisfying the minimum cost of the grounding system and safeguarding those people who work in the surrounding area of the grounded installations. Currently, there is no systematic guidance or standard for grounding grid designs that include two-layer soil and its effects on grounding grid systems, particularly vertically layered soil. Furthermore, while numerous studies have been conducted on optimization, relatively limited study has been done on the problem of optimizing the grounding grid in two-layer soil, particularly in vertical soil structures. This paper presents the results of optimization for substation grounding systems using the Simulated Annealing (SA) algorithm in different soil conditions which conforms to the safety requirements of the grounding system. Practical features of grounding grids in various soil conditions discussed in this paper (uniform soil, two-layer horizontal soil, and two-layer vertical soil) are considered during problem formulation and solution algorithm. The proposed algorithm’s results show that the number of grid conductors in the X and Y directions (Nx and Ny), as well as vertical rods (Nr), can be optimized from initial numbers of 35% for uniform soil, 57% for horizontal two-layer soil for ρ1> ρ2, and 33% for horizontal two-layer soil for ρ1< ρ2, and 29% for vertical two-layer soil structure. In other words, the proposed technique would be able to utilize square and rectangle-shaped grounding grids with a number of grid conductors and vertical rods to be implemented in uniform, two-layer horizontal and vertical soil structure, depending on the resistivity of the soil layer.

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Section: Introductionmentioning

confidence: 99%

Optimization of substation grounding grid design for horizontal and vertical multilayer and uniform soil condition using Simulated Annealing method

et al. 2021

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“…For example, HGA can be used in developing of control schemes for small power systems with high-penetration wind farms [70] or in the thermal fatigue failure prediction of microelectronic chips [71]. In addition to the aforementioned research papers, in the literature, several other optimization algorithms used in energy and other practical applications can be found [72,73].…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation

et al. 2019

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In this paper a genetic algorithm (GA) approach to design of multi-layer perceptron (MLP) for combined cycle power plant power output estimation is presented. Dataset used in this research is a part of publicly available UCI Machine Learning Repository and it consists of 9568 data points (power plant operating regimes) that is divided on training dataset that consists of 7500 data points and testing dataset containing 2068 data points. Presented research was performed with aim of increasing regression performances of MLP in comparison to ones available in the literature by utilizing heuristic algorithm. The GA described in this paper is performed by using mutation and crossover procedures. These procedures are utilized for design of 20 different chromosomes in 50 different generations. MLP configurations that are designed with GA implementation are validated by using Bland - Altman (B-A) analysis. By utilizing GA, MLP with five hidden layers of 80,25,65,75 and 80 nodes, respectively, is designed. For aforementioned MLP, k - fold cross-validation is performed in order to examine its generalization performances. The Root Mean Square Error ( R M S E ) value achieved with aforementioned MLP is 4.305 , that is significantly lower in comparison with MLP presented in available literature, but still higher than several complex algorithms such as KStar and tree based algorithms.

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Calculation research on cathodic protection potential distribution of buried 20# steel tank floor based on boundary element method

Kou

Ren

2023

Petroleum Science and Technology

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The Optimization Algorithm of the Forced Current Cathodic Protection Base on Simulated Annealing

Cited by 3 publications

References 15 publications

Optimization of substation grounding grid design for horizontal and vertical multilayer and uniform soil condition using Simulated Annealing method

Optimization of substation grounding grid design for horizontal and vertical multilayer and uniform soil condition using Simulated Annealing method

Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation

Calculation research on cathodic protection potential distribution of buried 20# steel tank floor based on boundary element method

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