Title: Optimally distributed generator placement and phasor measurement unit integration for enhanced distribution system performance: a particle swarm optimisation-based approach

Authors: N. Remya Mol; E.K. Bindumol; Rajesh Kuttappan Achary; V. Mini

Addresses: Department of Electrical and Electronics, Government Engineering College, Thrissur, Kerala-680009, India; Affiliated to: APJ Abdul Kalam Technological University, India ' Department of Electrical and Electronics, Government Engineering College, Thrissur, Kerala-680009, India; Affiliated to: APJ Abdul Kalam Technological University, India ' Department of Electrical and Electronics, Government Engineering College, Thrissur, Kerala-680009, India; Affiliated to: APJ Abdul Kalam Technological University, India ' Department of Electrical and Electronics, Government Engineering College, Palakkad, Kerala-678633, India; Affiliated to: APJ Abdul Kalam Technological University, India

Abstract: An optimally sized and placed distributed generator (DG) plays a vital role in the distribution sector to provide voltage stability by injecting sufficient active power to the access point. The phasor measurement unit (PMU) has a major role in the microgrid to monitor and control the grid effectively. It assesses the voltage magnitude and phase angle at its location along with the current magnitude and phase angle of the adjacent branch. This paper focuses on the particle swarm optimisation (PSO) algorithm to determine the optimal position and size of DG and binary-based PSO (BPSO) to identify optimal locations for PMUs to guarantee full observability of the network. The proposed method was tested on an IEEE 33-bus radial system. Results showed that power loss is reduced by 48.7% and 57.6% with single and two DGs, respectively, with penetration levels of 67.74% and 43.97%. The number of PMUs reduced with a cost reduction of 7%.

Keywords: microgrid; MG; distributed generator; DG; phasor measurement unit; PMU; particle swarm optimisation; PSO.

DOI: 10.1504/IJETP.2025.144314

International Journal of Energy Technology and Policy, 2025 Vol.20 No.1/2, pp.182 - 207

Received: 30 Apr 2024
Accepted: 12 Nov 2024

Published online: 05 Feb 2025 *

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