Multi Population Evolutionary Programming Approach for Distributed Generation Installation
Abstract: This paper describes
the impact of development distribution in order to identify optimum location
and size for distribution generation (DG) in power system network. High demand
on the load will cause unstable control power distributed through power loss
via power transmition. Therefore small-scale electricity generation is required
to ensure large power generated can be used for particular location to minimize
power losses. In addition, the implementation of distribution generation will
help to reduce the capital cost compared to the existing power plant due to
space, speed and power requirement. Thus proper DG location will significantly
improve the impact of the power flow analysis by considering the source of
energy which is easily obtained. This study will be conducted by using Matlab
and the proposed algorithm (MPEP) will be applied on IEEE 30 buses radial
distribution system network. As a result, the DG can be located at optimal
location and size depending on the losses consume in various type of DG technology
systems used in the network. On the other hand, the condition and location DG
itself will generate optimal power contribution depending on design strategies
that have been implemented.
Keywords: multi population
evolutionary programming, migration, optimal location and sizing, IEEE distribution
system
Author: M.F. Baharom
Journal Code: jptkomputergg140075
