Variable Structure Fuzzy Gain Schedule Based Load Frequency Control of Non-Linear Multi Source Multi Area Hydro Thermal System

Abstract

Abstract:The article focuses on the issues of Load Frequency Control (LFC) under non-linear strategies in multi source multi area hydro thermal system. On practical perspective dead band, boiler dynamics, reheat steam turbine along with hydro turbine operating under two different area capacities are considered in the system. When subjected to random load variations in both the areas, the system exhibits higher oscillations. The speed governor matches the generation with the demand. The offset in the area frequencies and tie-line power is removed by using secondary Proportional Integral (PI) controller. The PI controller is tuned using Ziegler Nichols' (ZN) and Fuzzy Gain Scheduling (FGS) method. The influence of high Proportional (P) controller gain during steady state and high Integral (I) controller gain during transient affects the system performance. Variable Structure System (VSS) helps to switch from P to PI controller during transient to steady state based on control error. The concept of VSS is applied to Fuzzy Gain Scheduling (FGS) PI controller. The performance of the optimal Variable Structure Fuzzy Gain Scheduled (VSFGS) controller under non-linear environment is judged and validated using performance indices.

Analysis on various optimization techniques used for Load Frequency Control in power system

“…Simulation analysis shows the high robustness of the planned SMES controller with less power availability against several changes and system disturbances related to SMES in the last research. A fuzzy gain schedule for PI controller is used to control the frequency of the load for a multi-source multi area power system [30]. In general PI controller is used due to its various benefits, in recent trends various tuning methods are used like Ziegler Nichols method, genetic algorithm is used for PI gains, but these gain values are fixed to system conditions, but by using Fuzzy Gain Scheduling (FGS) which can tune for different system conditions.…”