ijesg

International Journal of Energy and Smart Grid

2548-0332 2636-7904

Zülküf GÜLSÜN

10.23884/IJESG.2017.2.1.01

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

Öztürk

Dursun

BINGOL UNIVERSITY, FACULTY OF ENGINEERING AND ARCHITECTURE, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING Çelik

Hakan

Department of Mechatronics Engineering, Faculty of Engineering, Firat University, Elazig Özdemir

Mahmut Temel

Department of Electrical and Electronics Engineering, Faculty of Engineering, Firat University, Elazig

06 30 2017

2 1 2 16 02 17 2017 05 25 2018

2016

International Journal of Energy and Smart Grid

Themain problem that arises during the operation of all these power systems isload-frequency control. Load-frequency control is a common problem of powersystems that are connected to an interconnected system. Variations in thefrequency in the interconnected power systems can lead to large-scale andserious instability problems. And in microgrids, load-frequency control is ofgreat importance in order to provide active power balancing, especially whenthe microgrids are connected to the main grid. In this study, AC microgridstructures and their basic control cycles are examined. A sample autonomoushybrid AC microgrid structure was modeled in the MATLAB environment and an autonomoushybrid AC microgrid system isolated from the main grid was considered to be thecase study. In this case, the controller gains are determined according to theOptic Inspired Optimization, Bacterial Swarm Optimization, Artificial BeeColony Optimization, Ant Colony Optimization, Grey Wolf Colony Optimizationalgorithms, costing with the ISE performance criteria which are commonlyrecognized in the literature. The controller gains determined by optimizationwere simulated for time domain responses in the generated model and the resultswere analyzed.

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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