Optimal Capacitor Placement for Minimizing Power Losses and Improve Voltage Profile on Distribution System of Dewathang Feeder
DOI:
https://doi.org/10.17102/zmv8.i2.016Keywords:
Capacitor placement, Power loss minimization, Genetic algorithm (GA), Particle swarm optimization, Voltage regulationAbstract
The strategic placement of capacitors in a distribution system is crucial for optimizing power quality,
minimizing power losses, and ensuring voltage stability. Inadequate optimization of capacitor
placement can result in increased power losses, voltage fluctuations, and suboptimal system
performance. This paper focuses on determining the optimal location and size of capacitors in radial
distribution systems to achieve minimal power loss and an improved voltage profile. A
comprehensive analysis of metaheuristic algorithm techniques, such as Genetic Algorithms (GA)
and Particle Swarm Optimization, is conducted to address the capacitor placement problem, with
the goal of achieving the best solution. Detailed simulations using ETAP and MATLAB software
demonstrate that the proposed method significantly improves voltage regulation. Additionally, the
economic benefits of capacitor placement, including reduced energy costs and enhanced system
reliability, are evaluated. Simulation studies on the outgoing feeders of the Nyellang substation
(132/33/11 kV), particularly focusing on the Dewathang (33/11 kV) radial distribution network,
show substantial reductions in power losses and notable improvements in voltage regulation. For
electrical engineers, this research study provides a systematic and algorithm-driven methodology to
manage power losses through optimizing the capacitor placement in transmission lines, enabling
better decision-making in distribution network planning. Utility providers can also make use of
these findings to achieve systems performance efficiency, minimize repair and maintenance cost,
and reduce energy losses that enhance system reliability. It also assesses infrastructure upgradation
and new energy efficient technology integration. The proposed approach offers a cost-effective and
practical solution for optimizing the performance of distribution networks through optimal capacitor
placement.
