Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userThe Using Of Genetic Algorithm to Increase the Reliability of The Electrical Power System
استخدام الخوارزميات الجينية لزيادة الموثوقية في نظم القدرة الكهربائية
1088
4 22
0
(
0
)
Created by
Shamra Editor
Ask ChatGPT about the research
تم في هذا البحث دراسة طريقة حديثة لاستعادة الخدمة في نظم القدرة الكهربائية عن طريق مركز تنسيق مؤتمت باستخدام الخوارزميات الجينية.
In this paper, a modern method of restoring service in electrical power systems was examined through an automated coordination center using genetic algorithms.
References used
Roy Billinton, Ronald N. Allan, " Reliability Evaluationof Power Systems ", 2010 , Second Edition. Plenum Press. New York and London
Yuan-Yih Hsu, S.K. Peng, H.S.Yu k. "Distribution system service restoration using a heuristic search approach ",2011 , 0-7803- IEEE
A. Augugliaro , L. Dusonchet, E. Riva Sanseverino , " Multiobjective service restoration in distribution networks using an evolutionary approach and fuzzy sets" ,2010 Electrical Power and Energy Systems 22
rate research
Read More
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 .
Operating the electrical power systems at normal conditions is our goal always. This
is what represents the ideal state of electrical power system work. Hence, the electrical
power system work in case of insufficient electrical power requires avoid
ing since it leads
to big losses in national economy.
These losses could be huge when we talk about connection borders between systems
as per overload frame, because of lack of electrical power request. The impact of these
conditions could be noticeably decreased at a reasonable limit of electrical power request.
When we find out the optimal solution of electrical power systems operation and the
communication lines between them while considering the losses of consumers
disconnecting that guarantee the stability of loads. Finally, it is so at full use of maneuver
(available cases) spare power properties when applying the instant correction of regime.
This paper studies the basic approach to solve these issues which imply the reliability
definitions.
Application Of Object Oriented Programing OOP concept and the C++.
Pascal programming language to power system simulation has been
explored. An efficient platform for power system simulation applications
has been proposed. By emulationg a physical
power lap, a generic power
network container has been build, a module. One load flow applications a
ac load flow have been discussed. It is found that the OOP based Pascal
load flow programs are as efficient as their non – OOP counterparts.
After selecting real seismic records 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 d
own 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 those scaling factors to achieve the best results.
Genetic Algorithms (GAs) are probably the best-known types of artificial evolution search methods based on natural selection and mechanisms of population genetics. These algorithms are often applied to large, complex problems that are non-linear with multiple local optima.
The power of the genetic algorithms is inherent in its capability to adapt. In natural systems, species adapt to the environment through successive interactions and generations subject to the environment. After several consecutive generations, only those species that can adapt well to the environment survive and the rest disappear. In mathematical terms, individuals are analogous to problem variables and environment is the stated problem. The final generation of the variable strings that can adapt to the problem is the solution.
In this study, basic methodologies of the GA and the scaling procedures are summarized and the scaling criteria of real time history records to satisfy the Syrian design code are discussed. The traditional time domain scaling procedures and the scaling procedures using GA are used 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.
This research aims to achieve the observability of any electrical network by the
possibility compensation the lost measurements due to a defect, allowing the possibility of
state estimation of the electrical network ,ie, obtaining a single solution
for a state
estimation. This is done by means of the network observability analysing using the
available set of measurements and adding virtual pseudo-measurements if the network is
not observable. this is done using a numerical algorithm that ensures obtaining the
minimum and optimal number of added critical pseudo-measurements so that the result of
state estimation was not adversely affected. The algorithm depends on solving the
equation of the linear state estimation and the analysing to the triangular factors of the gain
matrix and an easy way to arrange the axis of the jacobian matrix ,ie, the measurements
matrix to ensure getting the minimum set of candidate pseudo- measurements to be added
to real measurements, the numerical algorithm was acheived by environment in the
MATLAB and tested to present the results on the network observabilty analysing and
adding the pseudo-measurements algorithm on state estimation .The results of the program
were tested on IEEE-14 network, and they showed that if a number of measurements were
lost, they would be compensated by critical and pseudo-measurements. The results of state
estimation showed small error ratio between estimated values using the real measurements
and the estimated values after added the critical pseudo-measurements.
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
