Transactions of China Electrotechnical Society  2023, Vol. 38 Issue (1): 258-269    DOI: 10.19595/j.cnki.1000-6753.tces.211510
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Optimization Design of Insulation Structure for Post Insulator in UHVAC GIS
Zhang Yutong1, Wu Zehua1, Xu Jiazhong2, Liu Peng1, Peng Zongren1
1. State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong University Xi’an 710049 China;
2. Shandong Electrical Engineering & Equipment Group Co. Ltd Jinan 250022 China

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Abstract  With the gradual promotion of “peak carbon dioxide emissions” and “carbon neutrality”, the demand for long-distance and high-voltage power transmission is also growing. The safe and reliable operation of gas insulated switchgear (GIS) equipment is an important factor to ensure the stable transmission of power. Post insulator is an important insulation structure support for GIS, the performance affected the reliability and stability of GIS in operation. Its structural characteristics make it not only have complex contours tangent to multiple circular arcs, but also needs to consider its insulator umbrella skirt which may bring about various optimized structural forms, many parameters to be optimized, and difficulties in overall optimization. To address these issues, this paper proposes a method to optimize the design of insulation structure for the post insulator used in UHVAC GIS. The insulation performance of post insulators for UHVAC GIS is significantly improved by a multi-step optimization method of total parameter optimization and local refinement optimization of the Bessel curve.
Firstly, the finite element simulation calculation model of the 1 100kV UHVAC GIS post insulator is established, and the insulator electric field distribution under lightning surge voltage can be calculated and obtained. According to the actual structure of the post support insulator, the outer contour of the post insulator and the outer contour of the metal inserts are parameterized. The maximum value of the total and tangential electric field of the post insulator surface as well as the electric field strength of the metal insert surface are defined as optimization indexes, and the influence law of different structural parameters on the performance indicators is analyzed. Particle swarm optimization with adaptive mutation is used to optimize the parameters. After calculating the insulator's electric field distribution after the total parameter optimization, optimization indexes are reduced by more than 10% compared with the original structure. Based on this, local refinement optimization of the Bessel curve is used to carry out local optimization for the rounded bottom of the insulator umbrella skirt, where the field distortion is more serious. Compared with the original structure, the total and tangential electric field strength on the insulator surface of the optimized structure has been reduced by 25.6% and 22.6%. The insulation performance of post support insulators for UHVAC GIS has been significantly improved after the total parameter optimization and local refinement optimization.
The following conclusions can be drawn from the simulation analysis and structure optimization: ① the maximum value of the electric field strength of the existing post insulator appears at the rounded corner of the bottom of the umbrella skirt; the maximum value of the electric field strength on the surface of the metal inserts appears at the rounded corner of its edge. ② The study of the law of insulator structure parameters on each electric field strength maximum found that the metal insert structure parameters not only affect its surface electric field strength maximum, but also will change the insulator surface electric field distribution; adjusting the insulator skirt distance from the high-voltage conductor, the tangential distance of the umbrella skirt, and the bottom rounded corner basically only change the insulator surface electric field strength, and the rest parameters have different degrees of influence on each performance index. ③ Using the multi-step optimization methods of total parameter optimization using particle swarm optimization with adaptive mutation and local refinement optimization of the Bessel curve, the improved structure of the post insulator of UHVAC GIS is obtained. Compared with the original structure, each electric field strength index of the optimized insulator is reduced by more than 20%.
Key wordsGas insulated switchgear (GIS)      post insulator      particle swarm optimization      Bezier curve      structural optimization     
Received: 22 September 2021     
PACS: TM216  
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Zhang Yutong
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Zhang Yutong,Wu Zehua,Xu Jiazhong等. Optimization Design of Insulation Structure for Post Insulator in UHVAC GIS[J]. Transactions of China Electrotechnical Society, 2023, 38(1): 258-269.
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