17-05-2014, 12:43 PM
Impact of Distributed Generators on Distribution Feeder Reconfiguration
Impact of Distributed .pdf (Size: 236.04 KB / Downloads: 26)
Abstract
Recently, in many countries the power systems are
going to move toward creating a competition structure for selling
and buying electrical energy. These changes and the numerous
advantages of the Distributed Generations (DGs) in term of their
technology enhancement and economical consideration, which
are mostly connected to the distribution networks, have created
more incentives to use these kinds of generators than before.
Therefore, it is necessary to study the impact of DGs on the
power systems, especially on the distribution networks. The
distribution feeder reconfiguration is one of the most
important control schemes in the distribution networks,
which can be affected by DGs.
INTRODUCTION
eturn back to 20 years ago, when vertical structure was
the dominant structure for power system industry around
the world, large-scale power plants were the best choice
for system expansion due to their numerous advantages, such
as low investment, operation and maintenance cost. As the
capacities of these kinds of power plants were high, they were
usually connected to transmission system, and consequently to
load center, where distribution networks were responsible for
supplying the loads. Now, the situation has been changed; the
vertical structure is going to be eliminated all around the
world by means of unbundling of generation, transmission and
distribution systems. Privatization and deregulation create this
opportunity that the share of private sector is going to be
increased in power system investment, and so give this
possibility to the customers to be responsible for their own
consumption with new types of generations, which have small
size and user friendly performance.
GENETIC ALGORITHM
A genetic algorithm (or GA) is a search technique used in
computing to find true or approximate solutions to
optimization and search problems. Genetic algorithms are
categorized as global search heuristics. Genetic algorithms are
a particular class of evolutionary algorithms that use
techniques inspired by evolutionary biology such as
inheritance, mutation, selection, and crossover (also called
recombination)[12].
Genetic algorithms are implemented as a computer simulation
in which a population of abstract representations (called
chromosomes or the genotype or the genome) of candidate
solutions (called individuals, creatures, or phenotypes) to an
optimization problem evolves toward better solutions.
Traditionally, solutions are represented in binary as strings of
0s and 1s, but other encodings are also possible.
CONCLUSION
Since the number of DGs will be increasing, it is necessary,
that impact of DGs on distribution feeder reconfiguration to
be studied. This paper presented an efficient algorithm for
distribution feeder reconfiguration in distribution with DGs.
By using this algorithm the performance of distribution test
feeders when DGs dispatched is better than not dispatched.
Since the most of DGs owned by private section, active power
generation cost of DGs considered as an optimal parameter
control of them.