Crow search algorithm for improving the performance of an inverter-based distributed generation system

• Published in: 2017 Nineteenth International Middle East Power Systems Conference (MEPCON) pp. 656 - 663
• Main Authors: Zaki, Dina A., Hasanien, Hany M., El-Amary, Noha H., Abdelaziz, A Y
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2017
• Subjects: Crow search algorithm (CSA); Distributed generation (DG); Frequency control; Genetic algorithms; genetic algorithms (GA); Inverters; Microgrids; Optimization; Response surface methodology; response surface methodology (RSM); Voltage control
• DOI: 10.1109/MEPCON.2017.8301251

Distributed generation (DG) systems achieve an important role in electrical power networks due to their technical and economic benefits. This paper presents a novel application of the Crow Search Algorithm (CSA) with purpose of enhancing the performance of an inverter-based DG system. The control st...