Application of PSO for Optimization of Power Systems under Uncertainty

The primary objective of this dissertation was to develop a black box optimization tool. The algorithm should be able to solve complex nonlinear, multimodal, discontinuous and mixed-integer power system optimization problems without any model reduction. A duty cycle based unit commitment modelling proposed in this thesis results in 80% reduction in the problem dimension. The final focus of this thesis was to investigate the impact of unpredictable nature of demand and renewable generation on the power system operation.