TY - GEN
T1 - Optimization on Cost of GIS/GIL Busbar considering Insulation and Current Carrying Performance
AU - Wang, Zhijun
AU - Hao, Xiangyu
AU - Zhong, Jianying
AU - Tan, Shengwu
AU - Yao, Yongqi
AU - Zhang, Hao
AU - Zhang, Bo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/6
Y1 - 2020/9/6
N2 - On the basis of ensuring insulation and current carrying capacity, set the electric field and temperature as constraints, the GIS/GIL co-simulation model was established with the least cost as the optimization goal. The optimization process usually requires hundreds of iterative calculations, which resulted in inefficiency of the complex and time-consuming 2D/3D co-simulation model and difficulties of meeting the needs of product development. Firstly, cosimulation models of static electric field, eddy current and dynamic fluid were established. Then using the Latin hypercube sampling method, 50 samples were extracted from the optimized sample space, and the sensitivity analysis was performed based on the results of co-simulation model. Based on the sensitivity analysis results, the simplified model was established by using the least squares fitting method. The simplified model results are verified by co-simulation model. The results showed that calculation consistency of simplified model with co-simulation model is about 98.9%, while the computational efficiency of the simplified model is 4000 times that of the co-simulation model. After optimization, the busbar cost is reduced by 26.65% on the basis of ensuring insulation and current-carrying performance.
AB - On the basis of ensuring insulation and current carrying capacity, set the electric field and temperature as constraints, the GIS/GIL co-simulation model was established with the least cost as the optimization goal. The optimization process usually requires hundreds of iterative calculations, which resulted in inefficiency of the complex and time-consuming 2D/3D co-simulation model and difficulties of meeting the needs of product development. Firstly, cosimulation models of static electric field, eddy current and dynamic fluid were established. Then using the Latin hypercube sampling method, 50 samples were extracted from the optimized sample space, and the sensitivity analysis was performed based on the results of co-simulation model. Based on the sensitivity analysis results, the simplified model was established by using the least squares fitting method. The simplified model results are verified by co-simulation model. The results showed that calculation consistency of simplified model with co-simulation model is about 98.9%, while the computational efficiency of the simplified model is 4000 times that of the co-simulation model. After optimization, the busbar cost is reduced by 26.65% on the basis of ensuring insulation and current-carrying performance.
KW - Design optimization
KW - GIL
KW - GIS
KW - busbar
KW - simulation
UR - https://www.scopus.com/pages/publications/85099372374
U2 - 10.1109/ICHVE49031.2020.9279996
DO - 10.1109/ICHVE49031.2020.9279996
M3 - Conference contribution
AN - SCOPUS:85099372374
T3 - 7th IEEE International Conference on High Voltage Engineering and Application, ICHVE 2020 - Proceedings
BT - 7th IEEE International Conference on High Voltage Engineering and Application, ICHVE 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on High Voltage Engineering and Application, ICHVE 2020
Y2 - 6 September 2020 through 10 September 2020
ER -