Optimal Allocation of FACTS Devices Using Quantum Inspired Evolutionary Programming

Autori

  • Arman Riaz Ochi EEE Department, American International University-Bangladesh, Bangladesh
  • Mohammad Abdul Mannan EEE Department, American International University-Bangladesh, Bangladesh
  • Bashudeb Chandra Ghosh EEE Department, Khulna University of Engineering & Technology, Bangladesh

Abstract

Quantum Inspired Evolutionary Programming (QIEP) is an optimization technique that combines the benefits of quantum computing and evolutionary algorithms together. In this paper this technique is used to find optimal allocation of Flexible AC Transmission System (FACTS) devices. The results are compared with the results found from genetic algorithms (GAs). Based on the results it can be concluded that QIEP technique is better than GAs.   Keywords: QIEP, quantum computing, evolutionary algorithms, FACTS devices, optimizationCite this Article Ochi AR, Mannan MA, Ghosh BC. Optimal Allocation of FACTS Devices Using Quantum Inspired Evolutionary Programming. Trends in Electrical Engineering (TEE). 2015; 5(1): 23–27p.

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Pubblicato

2015-02-16

Fascicolo

V. 5 N. 1 (2015)

Sezione

Research Articles

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