Distribution Network Loss Minimization by Incorporating DG Using Particle Swarm Optimization (PSO) Technique

Abstract

The efficacy of transmitting energy from high voltage
transmission power lines to low voltage distribution power lines is
vital in electrical power networks. Nevertheless, distribution
systems often encounter substantial I2R losses as a result of
elevated R/X ratios, heightened current levels, and insufficient
voltage circumstances. Distribution power businesses are
incentivized to minimize losses, since the financial repercussions
are contingent upon the disparity between real and anticipated
losses. Strategies to reduce losses include feeder grading,
allocation of distributed generation (DG), reconfiguration of the
network, allocation of capacitors, and novel methods for high
voltage distribution systems. The purpose of this work is to use an
evolutionary algorithm called particle swarm optimization to
identify the optimal allocation of photovoltaic production, using a
multi-objective function and many constraints. The efficacy of
these algorithms was evaluated using MATLAB R2022a on
standard radial 33 and 69 IEEE bus systems, offering a
comprehensive assessment of their performance in real-world
situations. The main objective is to improve strategies for
minimizing losses in distribution networks by using advanced
optimization methods to strategically place photovoltaic
distributed generation