Network reconfiguration and DG based compensation of Wolaita Sodo distribution system by using particle swarm optimisation
Biniam Alemayehu, Satyasis Mishra, Ghanshyam G. Tejani, Sujan Tripathi
TL;DR
This paper uses particle swarm optimization to improve voltage and reduce losses in a real Ethiopian distribution system by reconfiguring the network and placing distributed generators.
Contribution
The study applies simultaneous network reconfiguration and DG placement using PSO to a real, unbalanced Ethiopian distribution system.
Findings
Active power losses are reduced by 72.064% using the proposed method.
Voltage deviation decreases from 24.63% to 4.5% with improved minimum bus voltage.
Annual financial savings of 16.3956 million ETB are achieved with a six-year payback period.
Abstract
Improving voltage profiles and reducing power losses are critical challenges in modern distribution systems, especially in real, unbalanced and weakly interconnected grids. This study presents a novel application of simultaneous network reconfiguration and distributed generation (DG) placement using Particle Swarm Optimization (PSO) to the Wolaita Sodo distribution network in Ethiopia. Unlike most prior works conducted on IEEE standard feeders, this research uses actual network topology, load data, conductor parameters and operational constraints from a real Ethiopian distribution system. The optimization problem considers radiality constraints, DG size limits and voltage and current limits, with objectives of minimizing active/reactive power losses, improving voltage profiles and maximizing economic benefits. A backward-forward sweep load flow method evaluates network performance under…
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Taxonomy
TopicsOptimal Power Flow Distribution · Power System Optimization and Stability · Electric Power System Optimization