LOAD-FREQUENCY OPTIMIZATION WITH HEURISTIC TECHNIQUES IN A AUTONOMOUS HYBRID AC MICROGRID

Yıl 2017, Cilt: 2 Sayı: 1, 2 - 16, 30.06.2017

Dursun Öztürk , Hakan Çelik , Mahmut Temel Özdemir

https://doi.org/10.23884/IJESG.2017.2.1.01

Cited By: 2

Öz

The
main problem that arises during the operation of all these power systems is
load-frequency control. Load-frequency control is a common problem of power
systems that are connected to an interconnected system. Variations in the
frequency in the interconnected power systems can lead to large-scale and
serious instability problems. And in microgrids, load-frequency control is of
great importance in order to provide active power balancing, especially when
the microgrids are connected to the main grid. In this study, AC microgrid
structures and their basic control cycles are examined. A sample autonomous
hybrid AC microgrid structure was modeled in the MATLAB environment and an autonomous
hybrid AC microgrid system isolated from the main grid was considered to be the
case study. In this case, the controller gains are determined according to the
Optic Inspired Optimization, Bacterial Swarm Optimization, Artificial Bee
Colony Optimization, Ant Colony Optimization, Grey Wolf Colony Optimization
algorithms, costing with the ISE performance criteria which are commonly
recognized in the literature. The controller gains determined by optimization
were simulated for time domain responses in the generated model and the results
were analyzed.    

Anahtar Kelimeler

Autonomous hybrid ac microgrid, load-frequency control, optics inspired optimization, bacterial swarm optimization, artificial bee colony optimization, ant colony optimization, grey wolf colony optimization

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