Abstract
In this study, a multi-objective unit commitment problem is formulated and solved considering the profit maximisation and emission minimisation. To find the optimal schedule of the generation units, search space-based crazy particle swarm optimisation is proposed. A search space is the combination of binary states for unit ON(1)/OFF(0) status, which is used for the movement of the particles to maintain good exploration and exploitation search capabilities. To solve the problem and generate the non-inferior solutions, normal boundary intersection (NBI) method is applied. The main advantage of the NBI technique is to provide a set of uniformly distributed non-dominated solutions regardless of the scales of objective function values. To select a non-inferior solution a fuzzy-based decision making approach is employed. The effectiveness of the proposed method has been tested on the large-scale power system.
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