Abstract
The use of renewable energy resources has created some problems for power systems. One of the most important of these is load frequency control (LFC). In this study, in order to solve the LFC problem, modern control methods were applied to a two area multi source interconnected power system. A photovoltaic solar power plant (PV-SPP) was also connected, in order to identify the harmful effects on the frequency of the system. A new Genetic-based Fuzzy Logic (GA-FL) controller was designed to control the frequency of the system. For comparison, conventional proportional-integral-derivative (PID), fuzzy logic (FL), and Genetic Algorithm (GA)-PID controllers were also designed. The new control method exhibited a better performance than the conventional and other modern control methods, because of the low overshoot and short settling time. All simulations were realized with the Matlab-Simulink program.
Highlights
Electricity generated from renewable energy resources (RESs) is used as grid-on or grid-off power.Sudden climatic changes can cause large changes in their output parameters
A thermal unit (TU),renewable a thermalenergy generator unit with was a reheat this study, a two three interconnected power system modelled, which is shown in thermal unit (TU), a thermal generator unit with a reheat unit (RTU), and a photovoltaic solar power plant (PV-SPP) were connected to the system as energy resources
PV-SPPs inRTUs grids has were practically employed in some literature for the
Summary
Sudden climatic changes can cause large changes in their output parameters This situation is seen in PV-SPP systems, because of shading. The energy balance between the generation and loads is controlled by means of a numerical value obtained from sensors that measure the grid frequency [3,4]. For this reason, to solve the load frequency problem, several control methods have been proposed by previous researchers. The aim of these studies has been to maintain the frequency at a desired value Another problem is that multi-area power systems have a large number of parameters that must be controlled and have enormous, complex parts. The conventional PID controller is inadequate, owing to the expansion of grids
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