Open AccessOptimization of energy supply schemes using GA
Author(s) -
Evgeny A. Bodrenkov,
Nikolay Korovkin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1614/1/012105
Subject(s) - voltage , genetic algorithm , electric energy , electric power , computer science , energy (signal processing) , reduction (mathematics) , power (physics) , nodal analysis , mode (computer interface) , grid , algorithm , control theory (sociology) , mathematical optimization , electronic engineering , electrical engineering , mathematics , engineering , physics , statistics , geometry , control (management) , quantum mechanics , artificial intelligence , operating system
Presented a methodology for determining the optimal configuration of electric circuit by criterion of minimum active power losses in circuit using genetic algorithm. The advantage of the proposed approach is the reduction of number of operations required to calculate the parameters of the electric network mode and as a result increase the speed of search. The theoretical significance lies in the possibility of explicit determination of sensor elements when defining nodal loads by resistances. Practical significance lies in the possibility of applying the approach by electric grid organizations. The algorithm is tested on a model of an electric network with a voltage of 110 kV.