الفهرس 
chapter 1Only 14 pages are availabe for public view
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Abstract
This research can be divided into two main sections I The first section introduces a new feeder branching technique using
Genetic Algorithm (GA) to obtain the best location of distribution
substation, the optimal feeder routing and the optimal feeder cross section
area in a rural system. These feeders are divided into: source feeders,
bridge feeders, main feeders and lateral feeders. The source feeders are
branching from the distribution substation and each one is branching into
two main feeders. The bridge feeder is the link between the source feeder
and the main feeder. Each main feeder branches into a number of lateral
feeders and each lateral feeder reaches one load point (village). GA is
used to obtain the best values for four individuals which are: x-location
and y-location of the substation, the number of main feeder and the length
of the source feeder before branching into two main feeders. This
technique aims at achieving minimum cost while satisfying voltage DROP
constraint. To confirm the ability of this technique to find the optimal
solution of the general planning problem, the proposed algorithm is
applied on three cases: The first case is 25 load points dispersed in a
region of 30x20 km2 have to be fed by a 20kV substation, the second case
is 104 load points dispersed in a region of 18x 15 km2 have to be fed by a
l1kV substation and the third case is 200 load points dispersed in a
region of 26x20 km2 have to be fed by a l1kV substation. The location
and the apparent power of each load point are pre-known.
11 The second section studies the outage of the source feeders
branching from the distribution substation in the previous design and