Abstract
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.
Highlights
Nowadays, soft computing techniques and Artificial Intelligence plays a major role in all kinds of fields
The values show that the tie line power exchange between the areas, Adaptive Neuro Fuzzy Inference system (ANFIS) controller reaches the exact exchange of power between the areas with minimum deviations compared to other controllers
In this ANFIS accomplish its controller task perfectly in getting the same value as it gains in theoretical calculation
Summary
Soft computing techniques and Artificial Intelligence plays a major role in all kinds of fields. In an interconnected power system, a sudden load perturbation in any area causes the deviation of frequencies of all the areas and in the tie-line powers. This has to be corrected to ensure the generation and distribution of electric power with good quality. No literature has discussed AGC performance subject to simultaneous small step load perturbations in all area or the application of ANFIS technique to a multi-area power system. An effort has been made to apply ANFIS controller for the automatic generation control for the three area hydro-thermal restructured power system in consideration with GRC and backlash
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