الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
The rapid progress made in the applications of optimization techniques to power systems has
been driven primarily by the increase in global competitiveness and environmental regulations
that force companies to make optimum use of their resources. There has therefore, been an
increasing interest to optimize the operations of their systems.
This thesis develops and test one of the optimization techniques, called Simulated Annealing
(SA) and to use it. An attempt to analyze the strengths and weaknesses inherent in it and its
applicability to power systems operation and planning.
This study presents a developed simulated annealing (SA) method for multi-objective
programming to solve the reconfiguration in a distribution system. In reconfiguration problem,
considered herein is to minimize the system losses, and constrained with bus voltage violations
in conjunction with network constraint and renumbering the lines according to switches status.
Merit of this method used is that it is very effective and solutions get conversed even in second
equation therefore the execution time of the proposed method is quite small. The above method
has been corroborated by the test results.
The SA method for multi-objective programming was used to solve the service restoration in a
distribution system. In restoration problem, four different objectives one considered herein to
minimize the number of switch operations, bus voltage, and transformer capacity in conjunction
with network constraint. For the tested system with a large search space, the proposed method
can obtain the optimal solution rapidly and accurately. By using the proposed method, the
dispatcher can obtain the most satisfactory solution among multiple objectives. and the proposed
solution algorithm can obtain the restoration plan of the tested system efficiently under many
faults.
Two matrices that are developed from the topological characteristics of distribution systems are
used to solve load flow problems. The BIBC matrix represents the relationship between bus
current injections and branch currents, and BCBV matrix represents the relationship between
branch current and bus voltages. The BIBC matrix needs rearrangement of network data
according to the switches status. The execution time is extremely smaller as compared to known
methods of other load flow methods for radial distribution systems.
The SA technique was applied to the fixed capacitor placement problem in electric distribution
systems because of its ability to handle non-differentiable objective functions, its ability to find
the global optimal solution, and its computational speed. Our experimental results reveal that the
SA can quickly find the region in the search space containing the global optimal solution of the
fixed capacitor placement problem. These results encourage the extension of the SA to the
fixed/switched capacitor placement problem and to other applications in optimal design and
planning for distribution systems.
This method is extremely fast, so this can be used in online application.