Original scientific paper
https://doi.org/10.17559/TV-20150430213846
PSO based optimal distributed generation placement and capacity by considering harmonic limits
R. M. Sasiraja
; Department of Electrical and Electronics Engineering, Anna University, Regional Campus, Madurai - 625 019, Tamil Nadu, India
K. Muthulakshmi
; Kamaraj College of Engineering and Technology, Virudhunagar - 626 001, Tamil Nadu, India
V. Suresh Kumar
; Thiagarajar College of Engineering, Madurai - 625 015, Tamil Nadu, India
T. Abinaya
; Department of Electrical and Electronics Engineering, Anna University, Regional Campus, Madurai - 625 019, Tamil Nadu, India
Abstract
Distributed Generation (DG) units are also called Dispersed Generation, Decentralized Generation and Embedded Generation. They are normally small generating plants, connected directly to either distribution side or customer side. The installation of inverter-based distributed generation (DG) has increased rapidly in recent years. This higher penetration level may result in the increased level of harmonics, which could exceed the permissible harmonic distortion level. The penetration level of DG is restricted by harmonic distortion, because of the nonlinear current injected by inverter based DG units. In this work, the maximum DG penetration level is determined, by considering the harmonic limits. The harmonics are determined by using the Decoupled Harmonic Power Flow (DHPF) approach. The constraints of this proposed problem include power balance equations, bus voltage limits, total and individual harmonic distortion limits specified by IEEE-519 standard. The problem is solved by using Particle Swarm Optimization (PSO) algorithm based optimization technique. Simulation results are obtained by MATPOWER/MATLAB in IEEE 30 and IEEE 57 bus test systems and the results prove the effectiveness of this proposed approach.
Keywords
Decoupled Harmonic Power Flow (DHPF); Distributed Generation (DG); harmonic distortion; Particle Swarm Optimization (PSO)
Hrčak ID:
186081
URI
Publication date:
2.9.2017.
Visits: 2.883 *