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Automatic Generation Control of Multi-Area Interconnected Power Systems Using Hybrid Evolutionary Algorithm
Abstract
A new technique of evaluating optimal gain settings for full state feedback controllers for automatic generation control (AGC) problem based on a hybrid evolutionary algorithms (EA) i.e. genetic algorithm (GA)-simulated annealing (SA) is proposed in this chapter. The hybrid EA algorithm can take dynamic curve performance as hard constraints which are precisely followed in the solutions. This is in contrast to the modern and single hybrid evolutionary technique where these constraints are treated as soft/hard constraints. This technique has been investigated on a number of case studies and gives satisfactory solutions. This technique is also compared with linear quadratic regulator (LQR) and GA based proportional integral (PI) controllers. This proves to be a good alternative for optimal controller's design. This technique can be easily enhanced to include more specifications viz. settling time, rise time, stability constraints, etc.
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