基于IPSO算法的非晶合金变压器优化设计
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摘要
针对目前变压器设计效率低,以节能型三相非晶合金铁心油浸式变压器(以下简称非晶油变)为设计对象。在人工设计和使用循环遍历法的基础上,提出将改进的粒子群算法(improved particle swarm optimization,IPSO)应用于10KV配电变压器的优化设计。得出变压器在手工设计、循环遍历法和IPSO算法优化后的主要性能参数及优化数据。仿真结果表明,IPSO算法比其他两种方法更有助于改善非晶油变的空载损耗、负载损耗、短路阻抗、绕组对油温升和节约主材成本。
To deal with the low efficiency of transformer design, take the energy-saving three-phase amorphous alloy core oil-immersed transformer as the design example. Based on the manual design and use the cyclic traversal method, the improved particle swarm optimization(IPSO) is proposed to apply in optimize the design of 10 KV distribution transformer. The main performance parameters and optimization data of the transformer are optimized by manual design, cyclic traversal and IPSO. The simulation results show that the IPSO algorithm can improve the no-load loss, load loss, short circuit impedance, winding to oil temperature rise and save the cost of the main material.
To deal with the low efficiency of transformer design, take the energy-saving three-phase amorphous alloy core oil-immersed transformer as the design example. Based on the manual design and use the cyclic traversal method, the improved particle swarm optimization(IPSO) is proposed to apply in optimize the design of 10 KV distribution transformer. The main performance parameters and optimization data of the transformer are optimized by manual design, cyclic traversal and IPSO. The simulation results show that the IPSO algorithm can improve the no-load loss, load loss, short circuit impedance, winding to oil temperature rise and save the cost of the main material.
引文
[1] Adly A A, Abdelhafiz S K. A performance-oriented power transformer design methodology using multi-objective evolutionary optimization[J]. Journal of Advanced Research, 2015, 6(3):417.
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[3] Mirjalili S, Lewis A. The Whale Optimization Algorithm[J]. Advances in Engineering Software, 2016, 95:51-67.
[4] Azizian D, Bigdeli M, Faiz J. Design Optimization of Cast-Resin Transformer Using Nature-Inspired Algorithms[J]. Arabian Journal for Science and Engineering, 2016, 41(9):1-10.
[5] Du J, Feng Y, Wu G, et al. Optimal Design for Rectifier Transformer Using Improved PSO Algorithm[C]// International Conference on Measuring Technology and Mechatronics Automation. IEEE, 2010:828-831.
[6] Rao K S R, Karsiti M N. Optimal design of a furnace transformer by intelligent evolutionary methods[J]. International Journal of Electrical Power & Energy Systems, 2012, 43(1):1056-1062.
[7] Orosz T, Vajda I. Design Optimization with Geometric Programming for Core Type Large Power Transformers [J]. Electrical Control & Communication Engineering, 2014, 6(1):13-18.
[8] Daneshmand S V, Heydari H. A Diversified Multiobjective Simulated Annealing and Genetic Algorithm for Optimizing a Three-Phase HTS Transformer[J]. IEEE Transactions on Applied Superconductivity, 2016, 26(2):1-10.
[9] Phaengkieo D, Ruangsinchaiwanich S. Design optimization of electrical transformer using artificial intelligence techniques[C]// International Conference on Electrical Machines and Systems. IEEE, 2015:1381-1385.
[10] Khatri A, Malik H, Member O P R. Optimal Design of Power Transformer Using Genetic Algorithm[C]// International Conference on Communication Systems and Network Technologies. IEEE Computer Society, 2012:830-833.
[11] Fouzai M, Zouaghi T. Ant Colony algorithm applied to power transformer optimization[C]// International Conference on Electrical Engineering and Software Applications. IEEE, 2013:1-5.
[12] 潘再平, 张震, 潘晓弘. 基于QPSO算法的电力变压器优化设计[J]. 电工技术学报, 2013, 28(11):42-47.
[13] Amoiralis E I, Georgilakis P S, Tsili M A, et al. Global Transformer Optimization Method Using Evolutionary Design and Numerical Field Computation[J]. IEEE Transactions on Magnetics, 2009, 45(3):1720-1723.
[14] Shi Y, Eberhart R C. Parameter Selection in Particle Swarm Optimization[C]// International Conference on Evolutionary Programming Vii. Springer-Verlag, 1998:591-600.
[15] Qin H, Kimball J W, Venayagamoorthy G K. Particle swarm optimization of high-frequency transformer[C]// IECON 2010 -, Conference on IEEE Industrial Electronics Society. IEEE Xplore, 2010:2914-2919.
[16] Georgilakis P S. Transformer Design Optimization[J]. power Systems, 2009, 38:331-376
[2] 李长波.风电场用电力变压器的优化设计[D].河北工业大学, 2012.
[3] Mirjalili S, Lewis A. The Whale Optimization Algorithm[J]. Advances in Engineering Software, 2016, 95:51-67.
[4] Azizian D, Bigdeli M, Faiz J. Design Optimization of Cast-Resin Transformer Using Nature-Inspired Algorithms[J]. Arabian Journal for Science and Engineering, 2016, 41(9):1-10.
[5] Du J, Feng Y, Wu G, et al. Optimal Design for Rectifier Transformer Using Improved PSO Algorithm[C]// International Conference on Measuring Technology and Mechatronics Automation. IEEE, 2010:828-831.
[6] Rao K S R, Karsiti M N. Optimal design of a furnace transformer by intelligent evolutionary methods[J]. International Journal of Electrical Power & Energy Systems, 2012, 43(1):1056-1062.
[7] Orosz T, Vajda I. Design Optimization with Geometric Programming for Core Type Large Power Transformers [J]. Electrical Control & Communication Engineering, 2014, 6(1):13-18.
[8] Daneshmand S V, Heydari H. A Diversified Multiobjective Simulated Annealing and Genetic Algorithm for Optimizing a Three-Phase HTS Transformer[J]. IEEE Transactions on Applied Superconductivity, 2016, 26(2):1-10.
[9] Phaengkieo D, Ruangsinchaiwanich S. Design optimization of electrical transformer using artificial intelligence techniques[C]// International Conference on Electrical Machines and Systems. IEEE, 2015:1381-1385.
[10] Khatri A, Malik H, Member O P R. Optimal Design of Power Transformer Using Genetic Algorithm[C]// International Conference on Communication Systems and Network Technologies. IEEE Computer Society, 2012:830-833.
[11] Fouzai M, Zouaghi T. Ant Colony algorithm applied to power transformer optimization[C]// International Conference on Electrical Engineering and Software Applications. IEEE, 2013:1-5.
[12] 潘再平, 张震, 潘晓弘. 基于QPSO算法的电力变压器优化设计[J]. 电工技术学报, 2013, 28(11):42-47.
[13] Amoiralis E I, Georgilakis P S, Tsili M A, et al. Global Transformer Optimization Method Using Evolutionary Design and Numerical Field Computation[J]. IEEE Transactions on Magnetics, 2009, 45(3):1720-1723.
[14] Shi Y, Eberhart R C. Parameter Selection in Particle Swarm Optimization[C]// International Conference on Evolutionary Programming Vii. Springer-Verlag, 1998:591-600.
[15] Qin H, Kimball J W, Venayagamoorthy G K. Particle swarm optimization of high-frequency transformer[C]// IECON 2010 -, Conference on IEEE Industrial Electronics Society. IEEE Xplore, 2010:2914-2919.
[16] Georgilakis P S. Transformer Design Optimization[J]. power Systems, 2009, 38:331-376