Abstract

A novel multi-objective discrete artificial bee colony-based optimisation algorithm is proposed for the optimal phasor measurement units placement problem. The proposed algorithm is designed to incorporate a binary mutation step for efficient exploration and exploitation of any undiscovered region in the search space. A fuzzy-based mechanism is used to evaluate the best compromised solution from the final Pareto optimal set obtained by non-dominated sorting and crowding distance mechanism. A combination of two diverse objectives, i.e., minimisation of number of phasor measurement units and maximisation of N − 1 measurement reliability are taken into consideration with complete system observability. The simulation results are obtained both with and without inclusion of the zero injection effect in the observability analysis on IEEE standard systems and are compared with the recently published papers to demonstrate the effectiveness of the proposed algorithm. All the programmes are implemented in standard MATLAB environment version R2010a.

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