TITLE:
The Phenomenal Alleviation of Transmission Congestion by Optimally Placed Multiple Distributed Generators Using PSO
AUTHORS:
Karuppasamy Muthulakshmi, Rajamanickam Manickaraj Sasiraja, Velu Suresh Kumar
KEYWORDS:
Congestion Management, Line Flow Sensitivity Factor, Distributed Generation, Particle Swarm Optimization
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.8,
June
16,
2016
ABSTRACT: In the current electricity
paradigm, the rapid elevation of demands in industrial sector and the process
of restructuring are the main causes for the overuse of transmission systems.
Hence, the evolution of novel technology is the ultimate need to avoid the
damages in the available transmission systems. An appreciable volume of
renewable energy sources is used to produce electric power, after the
implementation of deregulation in power system. Even though, they are intended
to improve the reliability of power system, the unpredictable outages of
generators or transmission lines, an impulsive increase in demand and the
sudden failures of vital equipment cause transmission congestion in one or some
transmission lines. Generation rescheduling and load shedding can be used to
alleviate congestion, but some cases require quite few improved methods. With
the extensive application of Distributed Generation (DG), congestion management
is also performed by the optimal placement of DGs. Therefore, this research
employs a Line Flow Sensitivity Factor (LFSF) and Particle Swarm Optimization
(PSO) for the determination of optimal location and size of multiple DG units,
respectively. This proposed problem is formulated to minimize the total system
losses and real power flow performance index. This approach is experimented in
modified IEEE-30 bus test system. The results of N-1 contingency analysis with
DG units prove the competence of this proposed approach, since the total
numbers of congested lines get reduced from 15 to 2. Hence, the results show
that the proposed approach is robust and simple in alleviating transmission
congestion by the optimal placement and sizing of multiple DG units.