This paper is intended in investigating the Automatic Generation
Control (AGC) problem of a deregulated power system using Adaptive Neuro Fuzzy
controller. Here, three area control structure of Hydro-Thermal generation has
been considered for？different contracted
scenarios under diverse operating conditions？with non-linearities such as？Generation Rate Constraint (GRC) and Backlash.？In each control area, the effects of the feasible contracts are treated as
a set of new input signals in a modified traditional dynamical model. The key
benefit of this strategy is its high insensitivity to large load changes and
disturbances in the presence of plant parameter discrepancy and system
nonlinearities. This newly developed scheme leads to a flexible controller with
a simple structure that is easy to realize and consequently it can be
constructive for the real world power system. The results of the proposed
controller are？evaluated？with the Hybrid Particle Swarm Optimisation (HCPSO),
Real Coded Genetic Algorithm (RCGA) and Artificial Neural Network (ANN)
controllers to illustrate its robustness.
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