TY  - CONF
EP  - 84
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-54949138841&partnerID=40&md5=1975f710c977e581d4cdd78891956115
A1  - Rama Rao, K.S.
SN  - 9780889866577
Y1  - 2007///
KW  - Algorithms; Boolean functions; DC transformers; Design; Electric instrument transformers; Electric rectifiers; Genetic algorithms; Nonlinear programming; Optimal systems; Optimization; Transformer substations
KW  -  Closed-form; DC loads; Design optimization; Design optimizations; Direct search methods; Efficient searches; Non-sinusoidal currents; Objective functions; Optimal designs; Optimal results; Optimization techniques; Performance constraints; Phase currents; Semi-conductor rectifier power transformers; Transformer designs; Transformer ratings
KW  -  Power transformers
TI  - Genetic algorithm for design optimization of 3-phase semi-conductor rectifier power transformers
SP  - 79
ID  - scholars205
N1  - cited By 0; Conference of 3rd IASTED Asian Conference on Power and Energy Systems, AsiaPES 2007 ; Conference Date: 2 April 2007 Through 4 April 2007; Conference Code:74014
N2  - This paper presents the optimal design of a 3-phase rectifier power transformer supplying a dc load by Genetic Algorithm (GA). A closed form expression for actual phase current waveform of the transformer is derived and a comparison is made with the approximate waveform normally considered for fixing the transformer rating. Powell's direct search method as optimization technique is applied for the estimation of transformer design parameters and compared with the results obtained using GA. The optimal results demonstrated by an example show the potential for implementation of GA as an efficient search technique for design optimization of transformers. A discussion on the limitations and variation of GA parameters while minimizing the single and multi-objective functions satisfying the performance constraints on the proposed optimal design concludes the paper.
AV  - none
CY  - Phuket
ER  -