JOURNAL ARTICLE

Power loss minimization by optimal allocation and sizing of STATCOM via particle swarm optimization

Abstract

The provision of electricity is problematic in remote and rural areas. The distribution system is insufficiently efficient to provide rural areas with electricity. Long distance between the power supply and rural areas is the reason why there is insufficient electricity. Static synchronous compensator (STATCOM) technology is one of the solutions that have more positive effects, such as reducing power losses, and can therefore increase the system's efficacy. However, the non-optimal allocation and magnitude of STATCOM may increase losses and have a negative impact on power, resulting in a decrease in system efficiency. This paper introduces the Particle Swarm Optimization (PSO) algorithm as the proposed algorithm to optimize the location and capacity of STATCOM in order to reduce power losses in the distribution system. The proposed technique is implemented on a 15-bus IEEE system and simulated using the MATLAB program. The simulation results demonstrate that the optimal location and quantity of the STATCOM proposed by PSO effectively reduces power loss by 6.058% compared to without PSO implementation.

Keywords:
Particle swarm optimization Sizing Minification Optimal allocation Control theory (sociology) MATLAB Power (physics) AC power

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Topics

Optimal Power Flow Distribution
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power System Optimization and Stability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power Quality and Harmonics
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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