Removal of overloads and voltage problems in electric power systems using genetic algorithm and knowledge base

2002 ◽  
Author(s):  
G.A. Bakare
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Knowledge Base ◽  
Electric Power ◽  
Electric Power Systems

scholarly journals Optimization of modes of the electric power systems by genetic algorithms

2020 ◽  
Vol 216 ◽  
pp. 01099
Author(s):  
Behzod Pulatov ◽  
Shanazarov Alisher
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Power Systems ◽  
Electric Power ◽  
Shortest Path ◽  
Optimization Problems ◽  
Electric Power Systems ◽  
Data Filtering ◽  
Path Search ◽  
Shortest Path Search

In article discusses issues for solving optimization problems based on the use of genetic algorithms. Nowadays, the genetic algorithms for solving various problems. This includes the shortest path search, approximation, data filtering and others. In particular, data is being examined regarding the use of a genetic algorithm to solve problems of optimizing the modes of electric power systems. Imagine an algorithm for developing the development of mathematical models, which includes developing the structure of the chromosome, creating a started population, creating a directing force for the population, etc.

scholarly journals OPTIMIZATION OF MODES OF ELECTR POWER SYSTEMS BY GENETIC ALGOROTHMS

2019 ◽  
Vol 2019 (3) ◽  
pp. 224-229
Author(s):  
B Pulatov
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Power Systems ◽  
Electric Power ◽  
Optimization Problems ◽  
Block Diagram ◽  
Electric Power Systems ◽  
Data Filtering ◽  
Path Search ◽  
Shortest Path Search

In article discusses issues for solving optimization problems based on the use of genetic algorithms. To date, the genetic use algorithm for solving various problems. Which includes the shortest path search, approximation, data filtering and others. In particular, data is being examined regarding the use of a genetic algorithm to solve problems of optimizing the modes of electric power systems. Imagine an algorithm for developing the development of mathematical models, which includes developing the structure of the chromosome, creating a started population, creating a directing force for the population, etc. As well as the presentation, the selected structure should take into account all the features and limitations imposed on the desired solution, as well as the fact that the implementation of crossоver and mutation algorithms directly depends on its choice. To solve optimization problems, a block diagram of the genetic algorithm is given.

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