Reactive power compensation in distribution networks is one of the most important economic and
environmental issues in power system studies. In this paper the following points are investigated:
· The characteristics of the most developed equipment
used for reactive power compensation.
· Equations used in ETAP program calculation
· OCP is part of ETAP program which gives us the possibility to determine optimal reactive power
sizing and placement in distribution networks in order to achieve optimal Power loss and distribution
power system enhancement.
· ETAP program is applied on a part of Damascus suburb electrical network which was simulated by its
real parameters and the positive economical and technical results have been clarified.
In this study, basic methodologies of the GA and the scaling
procedures are summarized, the scaling criteria of real time history
records to satisfy the Syrian design code are discussed. The
traditional time domain scaling procedures and the scali
ng
procedures using GA are utilized to scale a number of the available
real records to match the Syrian design spectra. The resulting time histories of the procedures are investigated and compared in terms of meeting criteria.
The goal of this study is to model human body correctly, according to the principles and the standards
used to calculate the humanoid parameters. The model is built by using VN software and then it was
implemented in Matlab Simulink, in order to bu
ild a control system for simulating the humanoid balance
during standing. Precise and robust balance was reached by using PID controller with parameters
optimized by using genetic algorithm (GA). The control performance was tested by applying external
disturbance to the humanoid, the results show that the humanoid can retrieve its balance effectively.
Structural design for seismic loading, which is traditionally done for most types of common structures by the means of equivalent lateral static loading or modal spectrum analysis, is no longer a preferred methodology for design of modern structures
with complex topology and functionality under extreme loading scenarios. Nonlinear response history evaluation, on the other hand, is becoming a practical tool due to availability of high performance computing and recommendations of the new seismic guidelines, and due to the increase of available strong ground motion database. Therefor using and scaling real recorded accelerograms is becoming one of the most contemporary research issues in this field.
Seismological characteristics of the records, such as earthquake magnitude, epicentral distance and site classification are usually considered in the selection of real records, as they influence the shape of the response spectrum, the energy content and duration of strong ground shaking, and therefore the expected demand on structures. After real seismic records selection it is necessary to scale these records to match the intensity of the earthquake expected for the site. Generally, scaling can be made by ground motions uniform scaling in time domain which is simply scaled up or down the ground motions uniformly to best match (in average) the target spectrum within a period range of interest. It’s an engineer’s job to find the best scaling factors to best match the target spectrum, which is a complex task, so we employed the Genetic Algorithm (GA) in finding them to achieve the best results.
When testing the selected and scaled ground motions, it’s a standard procedure to use the nonlinear time history analysis to validate the results in terms of structural responses and their variation. this proves the efficiency of the presented procedure.
In this study, basic methodologies for selecting and scaling strong ground motion time histories are summarized, the selection and scaling criteria of real time history records to satisfy the Syrian design code are discussed. The GA scaling procedures are utilized to scale 10 set of records, every set consists of seven records of available real records to match the Syrian design spectra. The resulting time histories are investigated and compared in terms of suitability as input to time history analysis of civil engineering structures, by mean of time history analyses of SDOF systems which are conducted to examine the efficiency of the scaling method in reducing the scatter in structural response. The nonlinear response of SDOF systems is represented by bilinear hysteretic model. Assuming 5 different Periods, yield strength reduction factor, R= 4.5, α=3% post-yield stiffness, a number of 700 runs of analysis are conducted. The results are described for elastic displacement D.
With the increasing use of technologies and automation in different sides of modern life, the outage of
electricity became a big issue that widely affects the daily life of most sectors like industrial, economical or
even entertaining sector. So it
became so necessary to achieve a high-reliability electrical system to insure
the continuation of electricity supply to the end consumer.
Consequently, in this research, we are studying a new method of service restoration using genetic
algorithms to increase the reliability of distribution systems and improving its performance. The research
includes a brief aver view of electrical systems reliability and the basics of Genetic Algorithms and the use
of these techniques in dispatching centers. In addition we have designed a program in "MATLAB"
environment to apply the service restoration technique using genetic algorithms, and the program has
been tested on a case study with the relative results shown .
The principal objective of this research is an adoption of the Genetic
Algorithm (GA) for studying it firstly, and to stop over the operations which
are introduced from the genetic algorithm.The candidate field for applying
the operations of the g
enetic algorithm is the sound data compression field.
This research uses the operations of the genetic algorithm for the
enhancement of the performance of one of the popular compression method.
Vector Quantization (VQ) method is selected in this work. After studying
this method, new proposed algorithm for mixing the (GA) with this method
was constructed and then the required programs for testing this algorithm
was written. A good enhancement was recorded for the performance of the
(VQ) method when mixed with the (GA). The proposed algorithm was
tested by applying it on some sound data files. Some fidelity measures are
calculated to evaluate the performance of the new proposed algorithm.
Cold formed steel (CFS) has many advantages over other construction materials.
CFS members are lightweight. They weigh up to 30-35% less than their wood
counterparts.. This makes CFS members economical and the same time very easy to erect
and inst
all. They may be shaped (cold-bent) to nearly any open cross section. This allows
for the use of optimization technique’s to find optimal shapes for the members’ cross
sections.
The research aims to show the genetic algorithm's ability in determining the optimum
dimensions cold formed C section. To do so, the optimum design mathematical
formulation was formulated by adding the manufacturing constraints that reflect the
section folding operations in addition the geometrical and structural constraints.
The research found that the genetic algorithm is effective tool in finding the best
solution to this issue, as it showed its ability to deal with asymmetric section through
reaching solutions conform to the basic principles of mechanics of material.
The algorithm is adjustable, so that it can implement the design restrictions which are
compatible with any codes or any manufacturing requirements imposed by modulation
techniques.
In the Multi-objective Traveling Salesman Problem (moTSP)
simultaneous optimization of more than one objective functions is
required. This paper proposes hybrid algorithm to solve the multiobjectives
Traveling Salesman problem through the integration of
the ant colony optimization algorithm with the Genetic algorithm.
Thin walled Steel products are very much used in the construction industry, where it
is cold formed from uniform thickness steel plates. This study aims at determining the
optimal section of cold formed thin walled lipped C compressed member under
the effect
of several levels of axial force using Genetic Algorithm.
The research found that the genetic algorithm is able to resolve the issue of the
optimal design of studied column with high efficiency, accuracy. Also it found that the
torsional flexural buckling constraint and the overall buckling constraint in x-direction are
the effective constraints in case of long height.
The study recommends restudying the same issue as a multi objective optimization
problem by adding additional objective functions which are the overall buckling in x&y
directions.
This paper aims to reduce the power losses and to enhance the
voltage profile of the power system while maintaining the loading of the
transmission lines within the allowable limits, through the optimal
placement of the Unified Power Flow Controller (UPFC).
