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

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.

Author(s) Details

Ajay Kumar Maurya
Department of Electrical Engineering, IFTM University, Moradabad, Uttar Pradesh, India.

Dr. Anil Kumar
Department of Electrical Engineering, IFTM University, Moradabad, Uttar Pradesh, India.


Dr. Piush Kumar

Department of Electrical and Electronics Engineering, Future Institute of Engineering and Technology, Bareilly, Uttar Pradesh, India.

Professor G. K. Banerjee
Department of Electrical Engineering, IFTM University, Moradabad, Uttar Pradesh, India.

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