Open AccessSplit‐winding transformer design using new hybrid optimisation algorithm based on PSO and I‐BB‐BC
Author(s) -
Azizian Davood,
Gharehpetian Gevork B
Publication year - 2018
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2017.0118
Subject(s) - particle swarm optimization , electromagnetic coil , transformer , engineering , algorithm , mathematical optimization , computer science , mathematics , electrical engineering , voltage
Split‐winding transformer design is a time‐consuming and complicated procedure. Considering the number of windings and their geometries, the design parameters of the split‐winding transformer cannot easily be determined to reach an acceptable and low‐cost scheme. Their manufacturing and operational costs are very higher than the usual two‐winding transformers and they may be subjected to multidimensional restrictions. The split‐winding transformer design needs to select around 20 parameters to achieve different goals such as windings leakage inductances, four windings temperature rises, no‐load and load losses, transformer dimensions, windings coordination. A new hybrid algorithm based on particle swarm optimisation (PSO) and an improved big bang‐big crunch (I‐BB‐BC) algorithm (named PSO‐IBB), is introduced for optimisation (optimal design) of split‐winding transformer. Using this novel algorithm, the optimal designs are extracted and compared to the results obtained by PSO and I‐BB‐BC algorithms. By analysing the divergence of the extracted results, it is seen that the proposed hybrid PSO‐IBB optimisation algorithm has good performance and it can reach the global optima very fast.