Abstract
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.
Highlights
Microgrids are new generation energy production systems that can be controlled independently and include distributed energy resources (DER), and can operate on grid or off grid, established in the vicinity of the consumer [1]
The concept of microgrid has emerged as the result of increasing economic and environmental problems in traditional power systems
The use of renewable energy sources in microgrids has rapidly been becoming widespread in the power industry, due to its ability to reduce global warming and remove environmental constraints
Summary
Microgrids are new generation energy production systems that can be controlled independently and include distributed energy resources (DER), and can operate on grid or off grid, established in the vicinity of the consumer [1]. As a result of this, producing electrical energy at locations that are electrically close to the consumption centers will bring many advantages Such production systems have emerged as a supplementary element to the overall sustainability of the power system. The changes in DERs’ primary energy sources (seasonal changes) cause uncertainties in production, when it comes together with the uncertainties in consumers, a difficult and important optimization problem arises. For this reason, researchers have proposed solutions using various optimization methods. Researchers have proposed solutions using various optimization methods With this introduction, a hybrid power system model and load-frequency control are discussed and introduced in the study.
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