Improvement of Energy Efficiency of Isolated Wind Power System Based on Voltage Indices Using ANFIS Tuned STATCOM

Abstract

Among renewable sources of energy, wind energy sources (WES) are the most demanded globally. Wind energy systems are usually facilitated with fixed velocity type induction machines that provide comparable lesser costly options for power generation. Although these asynchronous generators are used to consume reactive power, having numerous advantages over synchronous machines make them so popular. The shunt capacitors can be used to generate this consumable reactive power, but usually, these circuitries do not yield desired results during the contingencies or turbulent behavior of the system. Therefore, effective and continuous solutions such as flexible alternating current transmission systems (FACTS) are compulsory in such cases. In the presented paper, the stabilization of the voltage stability indices of energy system during the turbulent behavior of the integrated WES-based energy systems using the static compensator (STATCOM) is investigated. Furthermore, the proportional–integral controller of the control system is tuned by an adaptive technique, i.e., adaptive neuro-fuzzy inference system (ANFIS). The considered WES generators are the squirrel cage induction generators (SCIG). Simulation studies are performed on the IEEE-9 bus test system. Obtained results prove that the SCIG with ANFIS tuned STATCOM improves the performance of the designed power network during the turbulence.