序列二次规划
粒子群优化
变压器
人口
电磁线圈
扫频响应分析
计算机科学
二次规划
算法
控制理论(社会学)
数学
数学优化
工程类
电气工程
电压
人工智能
人口学
控制(管理)
社会学
作者
Rajesh Reddy,Krupa Shah,Manjunath Kallamadi
出处
期刊:IEEE Latin America Transactions
[Institute of Electrical and Electronics Engineers]
日期:2023-03-01
卷期号:21 (3): 490-497
被引量:3
标识
DOI:10.1109/tla.2023.10068837
摘要
The aim of the paper is to synthesize a nearly unique, physically realizable and mutually coupled ladder circuit representation of a two-winding transformer by identifying the most accurate and reliable optimization technique such that prior knowledge in selecting the initial guess and search space is avoided. To this end, magnitude and phase of the driving-point impedance function are captured by performing sweep frequency response analysis (SFRA). Then, two widely used population-based algorithms namely, particle swarm optimization (PSO) and artificial bee colony (ABC) and one gradient-based sequential quadratic programming (SQP) algorithm are implemented. Two case studies are considered namely, i) 15 MVA, 66/11.55 kV transformer and, ii) 111 kVA, 7.33/1.22 kV transformer. The performance of the aforementioned algorithms is compared using three evaluation parameters namely, repeatability, accuracy and reliability
科研通智能强力驱动
Strongly Powered by AbleSci AI