Head of Department, PhD, Associate Professor
Position, Academic Degree: Head of the Department of Electrical and Electronic Engineering, PhD, Associate Professor
Education: Master's degree in Electrical Power Plants, Kyrgyz Technical University, 1999
PhD in Engineering Sciences, specializing in 05.14.02 Power Plants and Electric Power Systems, 2012
Work Experience:
Main:
1999–2000: Kyrgyz State Technical University, Faculty of Power Engineering, Department of Electromechanics, lecturer, engineer.
2000–2002: Office of the Legislative Assembly of the Zhogorku Kenesh of the Kyrgyz Republic, consultant for the Department of Sectoral Economics (energy sector);
2002 to present: Kyrgyz State Technical University named after I. Razzakov, Faculty of Power Engineering, Department of Theoretical and General Electrical Engineering (Head of Department since 2021).
Additional:
2002–2008: Research Institute of Physical and Technical Problems at I. Razzakov KSTU, Research Fellow;
2009–2015: Research Institute of Power Engineering and Communications at I. Razzakov KSTU, Senior Research Fellow;
Since February 2021: Institute of Mechanical Engineering and Automation of the National Academy of Sciences of the Kyrgyz Republic, Leading Researcher, Laboratory of Optimal and Digital Control Systems;
Disciplines taught:
1. Theoretical Foundations of Electrical Engineering (Parts 1, 2, and 3);
2. Electrical Engineering and Electronics;
3. Electrical Engineering, Electronics, and Electric Drives;
4. Mathematical Modeling and Programming of Electrical Engineering and Power Engineering Problems;
5. Automation and Digital Technologies in the Power Industry;
6. Computer Science (Fundamentals of C++ Programming);
7. Mathematical Foundations of the Power Industry.
PhD Dissertation: "Self-Organizing Multicomponent Algorithms for Solving Problems in Electrical Networks," Supervised by K.A. Satarkulov, PhD, KSTU Professor, 2012.
Doctoral Studies: Work on a doctoral dissertation on "Structurally and Logically Self-Organizing Algorithms for Solving Problems in Electric and Hydropower Engineering."
Research Focus: Using Petri Nets to Develop Self-Organizing Multicomponent Computational Algorithms for Solving Problems in Electric and Hydropower Engineering.
Scientific and methodological works: Total – 87, including: 55 scientific articles (11 articles in Scopus-indexed journals), 3 invention patents, 29 methodological guidelines and manuals.
Articles (past 5 years):
A structured hierarchical-multilevel approach to calculating electricity losses in open electrical networks of 35 kV and above under given loads and power source voltage. Republican scientific and technical journal "Science, New Technologies, and Innovations of Kyrgyzstan," No. 4, Bishkek, 2016.
An information marker race method for finding a shortest path tree when optimizing the structure of distribution electrical networks and calculating reliability. KSTU News, No. 40, 2016.
A modeling complex for assessing the optimal amount of information on the current state of electric power systems. KSTU News, No. 40, 2016
Modeling the Operating Modes of Complex Electrical Networks with a Tree-Type Structure and Different Nominal Voltages. Problems of Automation and Control, NAS KR IA and IT, No. 1 (36), 2019
Mathematical Modeling of Mutual Electromagnetic Influences of Related Power Transmission Lines in a Transition Process Mode. IOP Conference Series: Materials Science and Engineering, Volume 966, 2020 (UK)
Method for Designing Drop-of-Wire Recognition Systems on Sections of Undistorted Two-Wire Power Transmission Lines. IOP Conference Series: Materials Science and Engineering, Volume 966, 2020 (UK)
The Use of Petri Networks for Optimizing the Structure of Distribution Networks to Minimize Power Losses. Energy Reports, Vol. 6, Supplement 9, December 2020, pp. 1337-1343 (UK)
A method for designing the optimal structure of autonomous distributed hybrid energy complexes and regulating the energy balance therein. Alternative Energy and Ecology (ISJAEE). 2020; (25-27):42-51 (Russia)
Development of models for medium-term forecasting of electricity consumption in isolated power systems based on ensemble machine learning methods. Bulletin of the Scientific and Technical Center of the Unified Energy System. 2021. No. 1 (84). Pp. 32-39 (Russia)
Calculation of power losses at given loads and source voltage in radial networks of 35 kV and above by hierarchical-multilevel structured topology representation. Przegląd Elektrotechniczny, No./VOL: 07/2021 Page no. 13 (Poland)
Optimization of the structure of autonomous distributed hybrid power complexes and energy balance management in them. International Journal of Hydrogen Energy, Volume 46, Issue 70, October 2021, Pages 34542-34549 (UK)
Algorithm for calculation and selection of micro hydropower plant taking into account hydrological parameters of small watercourses mountain rivers of Central Asia. International Journal of Hydrogen Energy, Volume 46, Issue 75, 29 October 2021, Pages 37109-37119 (UK)
Elementwise
ORCID: 0000-0003-4538-934X
ScopusID: 57220161320
ResearcherID Web of Science: HNQ-5521-2023
Google Scholar: Salima Asanova
РИНЦ: SPIN-код: 4873-8435; AuthorID: 871551
