Stability Analysis and Optimization of Wind Farm Based Power System with Artificial Intelligence and FACTS

Abstract

This research work presents stability enhancement of a Single Machine Infinite Bus (SMIB), IEEE-9 bus, IEEE-11 bus and IEEE-14 bus test system connected with an integrated Wind Farm (WF) by using Power System Stabilizer (PSS), Flexible Alternating Current Transmission System (FACTS) devices and High Voltage Direct Current (HVDC)-link. The Artificial Intelligence (AI) based controllers Fuzzy Logic Controllers (FLCs) and Particle Swarm Optimization (PSO) are used to overcome the drawbacks of Proportional and Integral (PI) controller and parameter optimization of the controller (PSS, FACTS, HVDC-link). newlineThis research work presents the fuzzy logic-based control strategy for the variable speed wind turbine for Doubly Fed Induction Generator (DFIG) based wind turbine generator. The mathematical model for DFIG is developed in synchronous reference by using Stator Flux Oriented Control Scheme (SFOCS) for current and voltage control and is discretized in time domain. The SFOCS has limitations that its performance is mainly influenced by the tuning of parameters, the PI controller could not compensate system variations very efficiently. To overcome the drawbacks of PI controller, the FLCs are modelled. The PI controller is replaced with FLC controller in Rotor Side Controller (RSC) to regulate active and reactive power flow. The PI controller also substituted with FLC in Grid Side Controller (GSC) to maintain the DC-link voltage. The FLCs based control scheme is designed and implemented so as to improve the dynamic performance. In order to explore the robustness of the FLC and conventional PI controller, the simulations are carried out for rapid variation of wind speed and different disturbances generated in the system. The simulation results show that the proposed fuzzy logic-based control strategies have better power control, faster oscillation damping, more accurate regulation, considerably reduced settling time and has fewer ripples in comparison with conventional PI controller. In the proposed SFOCS, the PI controllers