Title: Multi-objective artificial bee colony-based optimal PMU placement with considering zero injection bus in power network

Authors: Manas Ranjan Nayak; Kaveri Mahapatra; Pravat Kumar Rout

Addresses: Department of Electrical Engineering, I.T.E.R, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, 751030, India ' Department of Electrical Engineering, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, 751030, India ' Department of Electrical and Electronics Engineering, I.T.E.R, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, 751030, India

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.

Keywords: phasor measurement units; PMUs; PMU placement; power system observability; measurement redundancy; artificial bee colony; ABC; multi-objective optimisation; metaheuristics; fuzzy logic; simulation; zero injection bus.

DOI: 10.1504/IJCAET.2017.080771

International Journal of Computer Aided Engineering and Technology, 2017 Vol.9 No.1, pp.102 - 122

Received: 11 Mar 2014
Accepted: 05 Aug 2014

Published online: 06 Nov 2016 *

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