Design of Adaptive Neuro-Fuzzy Controller for Load Frequency Control of Two-Area Power System Using Clustering Algorithm

To fullfil of increasing power demands and reduce carbon emission additional renewable sources of
power are added to existing thermal unit. Interconnection of hydro units to existing thermal system
can allow to system to operate at full capacity. The aim of this research is to study LFC by adding
non-linearity’s to the thermal - thermal and hydro-thermal systems. Further this work investigates the
modeling of hydro thermal systems and use of Adaptive Neuro-fuzzy controllers (ANFC) in these
models. Network frequency change due to change in speed, may result in loss of synchronization with
the rest of power system and finally resulting in power system black-out. In this research a multi
section steam turbine with re-heater was used for a single area system modeled in MATLAB, later two
single area systems were combined to create a two area system, and its dynamics are studied by
creating load perturbations. The proposed frequency controller was able to attain a setting time of 10
Sec which is comparatively lower than other existing speed controllers. . The time domain response
result of hydropower system proves the benefit of Neuro-fuzzy system, i.e. more rapid output
response and minimal overshoot.