Title: Distribution system state estimation with elegant PMU placements using a novel metaheuristic

Authors: K. Naveenkumar; R. Kannan; S. Ganesan; S. Subramanian; M. Hariprasath

Addresses: Department of Electrical Engineering, Annamalai University, Annamalainagar, Chidambaram, Tamil Nadu, India ' Department of Electrical Engineering, Annamalai University, Annamalainagar, Chidambaram, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Government College of Engineering, Salem, Tamil Nadu, India ' Department of Electrical Engineering, Annamalai University, Annamalainagar, Chidambaram, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Audisankara College of Engineering and Technology, Gudur, Andhra Pradesh, India

Abstract: In recent days, the expansion of the distribution network followed by network complexity and contingencies are noted as major issues in electric power utilities. At this juncture, there is not even a distinct constituent for handling such disturbances that occurs due to natural hazards which in turn causes a difficult situation for decision making tracked by redundant state estimation. Therefore, effective monitoring in distributed networks with phasor measuring unit (PMU) involving accurate placements and identification of numerous line outages is presented. Here, a technique using ant lion optimisation (ALO) through elite methodology (EALO) for recognising accurate PMU locations considering cascaded line outages is projected. To evaluate the effectiveness of the projected method standard IEEE systems, practical Indian utility system and polish large scale bus networks are instigated. The numerical result cares about the exact state of distribution topology in a way for improving the performance of the smart grid.

Keywords: cascaded outages; elite ant lion algorithm; phasor measuring unit; PMU; distribution system state estimation; DSSE.

DOI: 10.1504/IJSGGC.2020.109605

International Journal of Smart Grid and Green Communications, 2020 Vol.2 No.1, pp.38 - 59

Received: 13 Oct 2018
Accepted: 31 Oct 2019

Published online: 28 Aug 2020 *

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