Abstract
This paper presents simulation and analysis of automatic load frequency control (ALFC) with various prime-mover models with renewable energy sources (RES) added to the system. Comparison between actual (re-heat) and approximate (non-reheat) model of prime-mover has been done for single control area where a solar system has been delivering power to load with thermal power. With increase in adding the renewable energy sources in interconnected system, frequency control becomes an important task to full fill because renewable (especially solar PVs) do not have any inertia like thermal plants. This may cause inaccurate assessment of frequency deviations which may further affect the performance of power system. The approximation in the mathematical modelling of governing system for the prime-mover model can be eliminated by this analysis which proves that reheat model is more accurate than non-reheat model. The control at the point of RES inclusion ensures best suitable scenario for both renewable and thermal power. Finally, the inertial support missing in the renewable is obtained with Artificial Inertia Control which mimics the performance of conventional generator to support frequency. Simulation results has been compared with various prime-mover models in MATLAB / SIMULINK. This analysis will help to assess stability of the system especially when a renewable energy source has been integrated with conventional power with artificial inertia support. This research emphasis on correct assessment of frequency with actual prime mover models with effect of integration of RES on frequency assessment and artificial inertia which makes the ALFC more robust in various conditions.
Keywords: Artificial Inertia, Automatic Load Frequency Control, Prime Mover Models, Renewable Energy Sources.