Abstract
The electric field distribution is one of the main factors governing the long-term reliability of high voltage composite insulators. However, under severe pollution conditions, electric field stresses, when exceeding thresholds and applying for long periods, could lead to degradation and deterioration of the housing materials and, therefore, to failures of the composite insulators. This paper is intended to improve the distributions of the electric field and potential by minimizing the corona ring on a 400 kV AC transmission line composite insulator. The performances of three powerful multi-objective meta-heuristic algorithms, namely Ant Lion Optimizer (MOALO), Particle Swarm Optimizer (MOPSO), and non-dominated sorting genetic algorithm (NSGA-II) are established to achieve this goal. First, variations of electrical fields on the critical parts of the string are obtained using three-dimensional finite element method (FEM) software. Then, three objective functions are developed to establish the relationships between the electric field and the guard ring parameters. Finally, the optimization parameters consist of diameter, tube diameter, and installation height of the corona ring. The obtained results confirm the effectiveness of the three algorithms; the MOLAO is the better in terms of computing time and solution quality.
Highlights
In front of the expansion of national grids and the connection reasons with the Maghrebian and European networks, the Algerian Electricity and Gas Company (SONELGAZ) needed to develop 400 kV grids [1]
In the remainder of this article, the three proposed metaheuristic algorithms (MOALO, MOPSO and NSGA-II) are used to optimize corona ring settings based on the previous mathematical model to reduce the maximum electrical field located at the triple point junction of the composite insulator, to acceptable levels
Basing on Design of Experiments (DOE), a sensitive analysis of the MOPSO and the NSGAII is performed for each algorithm with different combinations of each parameter
Summary
In front of the expansion of national grids and the connection reasons with the Maghrebian and European networks, the Algerian Electricity and Gas Company (SONELGAZ) needed to develop 400 kV grids [1]. A mathematical model composed of three objective functions is developed based on the obtained results to establish the relationships between the electric field and the corona ring parameters. Optimizing such relationships allows obtaining the ring parameters leading to the lowest electrical field level on the composite insulator surface. For this purpose, the performances of three powerful multi-objective metaheuristic algorithms, namely, Ant Lion Optimizer (MOALO), Particle Swarm Optimizer (MOPSO), and nondominated sorting genetic algorithm (NSGA-II) are developed. Such drawbacks are not encountered in this study since the solutions we have obtained are very close and the choice of the best solution is too easy
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