LOAD FREQUENCY CONTROL OF TWO-AREA POWER SYSTEM WITH REDOX FLOW BATTERY AND SOLAR PARK

Abstract

In this thesis, a fuzzy logic controller (FLC) is proposed to act as the main load frequency controller (LFC) instead of the conventionalproportional–integral–derivative controller. The dynamic performance of FLC is enhanced by optimizing its parameters for different cost functions using particle swarm optimization technique (PSO). Another two FLCs will be added to PV system to act as an output controller to enhance the overall system performance. To increase system reliability, a fast active power source called redox flow battery (RFB) is added in the proposed model as a frequency stabilizer. RFB can deeply discharge up to 90% with theoretically limitless number of duty cycles and has fast time response which is less than 0.5msec for severe load changes. The superiority of the proposed FLC is applied to two-area power system with multiple generating units (conventional and renewable sources) and examined by evaluating its results while applying several possible changes in the power system like demand load changes up to 20% in both areas, severe changes in the output of PV solar park in a cloudy day. Finally, a comprehensive sensitivity analysis is also presented to investigate the controller robustness for extensive changes in power system parameters like synchronizing torque coefficient and time constants for turbine and governors.