click here to download - UniKL MIMET Official Website

taking into account of system constraints and
load priorities. A graph theoretic self‐stabilizing
maximum flow algorithm for the implementation
of the agents’ strategies has been developed to
find a global solution using load information and
a minimum amount of communication. Although
a simulation platform is developed to implement
parts of the reconfiguration system, the simula‐
tion platform proposed in [35] is not a real time
solution and cannot provide bandwidth require‐
ment and latency performance of the system.
Solanki et al [34] proposed an MAS reconfigura‐
tion methodology for SPS. In this work the re‐
configuration process can isolate the fault and
restore the power supply quickly and autono‐
mously. Also, this reconfiguration methodology
can be applied only to radial SPS. Solanki and
Schulz [36] demonstrated the MAS for the re‐
configuration of the SPS and the implementa‐
tion of the MAS. In the simulation of the recon‐
figuration process in [36] and [34], the MAS and
SPS are implemented on the same PC. The com‐
munication bandwidth of the MAS cannot be
researched by using this simulation platform.
Sun et al [37] put forward a complete reconfigu‐
ration methodology for the reconfiguration of
the SPS. The objective of the reconfiguration is
to restore the loads in the SPS. The research is
no central controller in the MAS. Each agent
works independently and autonomously. The
reconfiguration methodology proposed in this
research, cannot be applied to SPSs with ring
and mesh structure.
E.J. William [48] proposed an Artificial Neural
Network Algorithm (ANN) to determine fault
locations on shipboard Electrical Distribution
System (EDS). It traces the location of the fault
on SPS. The EDS is protected when faults are lo‐
cated and isolated as quickly as possible. The
goal is to increase the availability of shipboard
EDS by locating and isolating faults by using
MIMET Technical Bulletin Volume 1 (2) 2010
Power system CAD (PSCAD) and ANN analysis.
However the only problem with this is that the
fault path accuracy is unpredictable and require
sensitive current measurement device.
Kai Huang and Srivastava [42] proposed a novel
Algorithm for agent Based Reconfiguration of
Ring‐structured Shipboard Power System. The
goal of this research is to avoid the redundant
information accumulation (RIA) problem in a
multi‐agent system during the reconfiguration
process of SPS. The RIA problem is like a posi‐
tive feedbacks loop and makes the information
flow in the system unstable. Thus, the authors
use the spanning tree protocol to detect and
break the ring structure in an agent system.
Discussion
The literature review has revealed some impor‐
tant points which most of the reconfiguration
methodologies for terrestrial power system and
SPS are centralized solutions. Also, the simula‐
tion scenarios in these researches are not in real
time and cannot provide the bandwidth require‐
ment latency performance of the system. From
the analysis, the number of the researcher for
terrestrial power system is greater than ship‐
board power system (SPS). There are only a few
numbers of researchers who explore in the area
of shipboard power system. Most of the cases
are studied by the same researchers like Sarma,
Buttler and Sarasvarti. The number of researches
which focus on reconfiguration on fault location
for shipboard power system is very few as com‐
pared to the terrestrial power system.
From the literature, several approaches and
methods have been proposed in the reconfigura‐
tion process for SPS. They vary in term of func‐
tions and applications. Many classical techniques
have been employed for the solution of the re‐
configuration problem such as genetic algo‐
rithms (GA)[44,45], simulated annealing [12],
| MARINE FRONTIER @ UniKL
92