Modern Digital Simulation, III: Advances in Theory, Application, and Design-Electric Power Systems, Spare Parts Inventory, Purchase Interval and Incidence Modeling, Automobile Insurance Bonus-Malus Systems, Genetic Algorithms-DNA Sequence Assembly, Education, and Water Resources Case Studies

1998 ◽  
Vol 93 (444) ◽  
pp. 1530
Author(s):  
KNB ◽  
Edward J. Dudewicz
Keyword(s):  
Genetic Algorithms ◽  
Power Systems ◽  
Dna Sequence ◽  
Digital Simulation ◽  
Electric Power Systems ◽  
Spare Parts ◽  
Automobile Insurance ◽  
Dna Sequence Assembly ◽  
Spare Parts Inventory ◽  
Theory Application

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 Locating High-Impedance Fault Section in Electric Power Systems Using Wavelet Transform,k-Means, Genetic Algorithms, and Support Vector Machine

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ying-Yi Hong ◽  
Wei-Shun Huang
Keyword(s):  
Support Vector Machine ◽  
Genetic Algorithms ◽  
Wavelet Transform ◽  
Power Systems ◽  
Electric Power ◽  
Fire Hazard ◽  
Electric Power Systems ◽  
Support Vector ◽  
Discrete Wavelet ◽  
High Impedance

High-impedance faults (HIFs) caused by downed conductors in electric power systems are in general difficult to be detected using traditional protection relays due to small fault currents. The energized downed conductor can pose a safety risk to the public and cause a fire hazard. This paper presents a new method for locating the line (feeder) section of the HIF with the help of limited measurements in electric power systems. The discrete wavelet transform is used to extract the features of transients caused by HIFs. A modifiedk-means algorithm associated with genetic algorithms is then utilized to determine the placement of measurement facilities. The signal energies attained by wavelet coefficients serve as inputs to the support vector machine for locating the HIF line section. The simulation results obtained from an 18-busbar distribution system show the applicability of the proposed method.

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