Imanakunova Zhenishkul
@kstu.kg
Institute of Energy/Electric power industry and electrical engineering named after J. Apyshev
Kyrgyz State Technical University named after I.Razzakov
1973 year of birth,
1991-1996 study at KSTU named after I. Razzakov
1998-2002 lecturer at KSTU named after I. Razzakov
2010 Academic degree of candidate (PhD) of technical sciences
2013 Associate Professor of the Higher Attestation Commission
2013-2016 Head of Education Department
2002 to present Associate Professor of KSTU named after I. Razzakov
2022 to present Director of the Department of Science and Innovation
EDUCATION
Electrical Engineer with specialty "Electrical supply of agriculture"
Academic degree of candidate (PhD) of technical sciences
Associate Professor in the specialty "Energy"
RESEARCH INTERESTS
Power industry, Energy industry, The science of innovation, yoga, reading books.
Scopus Publications
Scopus Publications
T.T. Omorov, A.T. Asiev, R.Ch. Osmonova, B.K. Takyrbashev, and Z.S. Imanakunova
Melentiev Energy Systems Institute
Currently, in order to automate and digitalize processes in electrical distribution networks (DEN), ASCME software and hardware systems are widely used, which are mainly designed to solve problems of commercial electricity metering. At the same time, these automated systems do not solve such urgent problems as optimizing the operating modes of distribution networks, operational monitoring of technical and commercial losses of electricity, as well as diagnosing network conditions, including localizing the coordinates of unauthorized withdrawals of electricity (UWE). To date, the National Academy of Sciences of the Kyrgyz Republic and a number of foreign scientific centers have developed the scientific foundations and technologies for solving the above problems in real time. In order to test and study the effectiveness of these new results, it is advisable to create an automated experimental complex (AEC), which is essentially a physical model of ASCME. This is due to the fact that the use of automated information systems currently used in distribution networks for this purpose is practically impossible. This article discusses the general structure, functional tasks and main directions of research using AEC. The complex includes a physical model of the distribution network and the main functional elements of modern automated control and accounting systems for electricity (ASCAE), such as a data concentrator, a computer server, single-phase and three-phase electricity meters and a telecommunications module for transmitting and receiving data. The basis of the special software of the experimental complex is made up of new methods and technologies for solving the above functional problems, which are not included in modern AMR systems. The AEC is planned to be used not only for conducting scientific research and experiments, but also for the educational process in technical universities that have training programs in electric power engineering.
Turatbek Omorov, Abai Asiev, Rima Osmonova, Beishenaly Takyrbashev, Zgenishkul Imanakunova, and Manas Suerkulov
EDP Sciences
Currently, in order to automate and digitalize processes in electrical distribution networks (DEN), ASCME software and hardware systems are widely used, which are mainly designed to solve problems of commercial electricity metering. At the same time, these automated systems do not solve such urgent problems as optimizing the operating modes of distribution networks, operational monitoring of technical and commercial losses of electricity, as well as diagnosing network conditions, including localizing the coordinates of unauthorized withdrawals of electricity (UWE). To date, the National Academy of Sciences of the Kyrgyz Republic and a number of foreign scientific centers have developed the scientific foundations and technologies for solving the above problems in real time. In order to test and study the effectiveness of these new results, it is advisable to create an automated experimental complex (AEC), which is essentially a physical model of ASCME. This is due to the fact that the use of automated information systems currently used in distribution networks for this purpose is practically impossible. This article discusses the general structure, functional tasks and main directions of research using AEC. The complex includes a physical model of the distribution network and the main functional elements of modern automated control and accounting systems for electricity (ASCAE), such as a data concentrator, a computer server, single-phase and three-phase electricity meters and a telecommunications module for transmitting and receiving data. The basis of the special software of the experimental complex is made up of new methods and technologies for solving the above functional problems, which are not included in modern AMR systems. AEC is planned to be used not only for conducting scientific research and experiments, but also for the educational process in technical universities with areas of training in the electrical power industry.
Omorov T.T., Takyrbashev B.K., Koibagarov T.Zh., Osmonova R.Ch., Imanakunova Zh.S., Zhanybaev T.O., and Asiev A.T.
Melentiev Energy Systems Institute
Uncontrolled power losses caused by electricity thefts in power distribution systems (PDSs) have a detrimental impact on technical and economic performance of these systems. Modern automated systems for electricity revenue metering (ASERMs), which are nowadays widely used for automation and computerization of processes in PDSs, lack digital technologies for separate estimation and monitoring of technical and non-technical power losses. The paper proposes a novel technique and an algorithm for its implementation based on the data obtained from electricity meters that are part of the ASERM structure. In order to ensure the solvability of the identification problem, we introduce the concept of a virtual network model representing the desired state of the PDS in the absence of ETs. The model serves as the basis for deriving algebraic equations. Such equations allow identifying technical and non-technical power losses in three-phase networks. Our research findings aim at further improvement of modern ASERMs and enhancement of their performance and reliability.
T.T. Omorov, B.K. Takyrbashev, T.Dzh. Koibagarov, R.Ch. Osmonova, Zh.S. Imanakunova, T.O. Zhanybaev, and A.T. Asiev
EDP Sciences
It is known that significant power losses in power distribution networks (PDNs) caused by unauthorized power withdrawals (UPWs) lead to a decrease in their technical and economic performance. There are no digital technologies designed for separate assessment and monitoring of technical and commercial power losses in modern automatic system for commercial metering of power consumption (ASCMPC), which are currently widely used for automation and computerization of processes in distribution networks. The article proposes a new algorithm for solving the above problem on the basis of data obtained from electricity meters included in the ASCMPC structure. In order to ensure the solvability of the identification problem, the concept of a virtual network model characterizing the desired state of the PDN in the absence of UPW is introduced. On its basis, algebraic equations are obtained, the solution of which allows to identify technical and commercial power losses in three-phase networks. The obtained results are oriented on further improvement of modern ASCMPC and increase of their efficiency and reliability.
T.T. Omorov, B.K. Takyrbashev, K.E. Zakiryaev, Zh.S. Imanakunova, T.Zh. Koibagarov, and A.T. Asiev
EDP Sciences
This paper studies 0.4 kV power distribution networks (PDN) and automated systems for electricity monitoring and metering (ASEMM) As is known, one of the main tasks of ASEMMs is the digitalization of PDNs, aimed at further improving the efficiency and reliability of their operation. It is advisable that new models, methods, and intelligent technologies used for automation and informatization of distribution networks should also be focused on minimizing their power losses, which are currently fairly high thus significantly compromising the technical and economic performance of automation systems employed and PDNs. Modern (conventional) ASEMMs, implemented at the facilities of utilities, do not have the appropriate technical, algorithmic, and software tools designed to reduce power losses in the PDN. This is due to the fact that conventional ASEMMs mainly solve the problem of remote data collection from the system meters and their digital processing for the purpose of revenue metering of electricity. In this regard, the paper proposes methodological, algorithmic, and digital technologies designed to solve a set of new functional tasks in the conventional ASEMMs, aimed at reducing power losses in DPNs by optimizing their operating conditions.
T. T. Omorov, K. E. Zakiriaev, B. K. Takyrbashev, and Zh. S. Imanakunova
New Technologies Publishing House
A distributed electrical network (DEN) with a voltage of 0.4 kV operating in an unsymmetric mode is considered as an object of automated control. The problem of identification of places and control of unauthorized power take-offs (UPTO) in the DEN in the conditions of functioning of the automated system of control and accounting of electricity (ACMSE) is formulated. The primary source information for its solution is the data obtained from the head and subscriber electricity meters by synchronized remote measurements at discrete points in time. This problem belongs to the class of problems in which there is significant uncertainty about the current state of the object under study and the parameters of external disturbing influences, which are unauthorized consumers of electricity. Under these conditions, the primary measurement data on the characteristics of the network subscribers’ loads received from the counters of the automated system and recorded in its database are insufficient to solve the problem under consideration. In this regard, in order to reduce the level of uncertainty and obtain additional necessary information about the state of the object, the concept of a virtual DEN model is introduced into consideration, designed to describe its desired state, which is determined by the absence of these external random disturbances in the network. A new method for solving the formulated problem is proposed, based on the concept of a virtual DEN model. The conditions for identifying the current state of the DEN have been obtained. For this purpose, the desired input phase currents of the virtual network are determined by introducing equivalent complex resistances of certain parts of the three-phase network. The vectors of the effective values of currents and voltages on the loads of subscribers and inter-subscriber sections of the virtual network are identified. Criterion functions are introduced that determine the deviations of the corresponding components of the stress vectors on the loads of subscribers of the real DEN and its virtual model. Based on these functions, an identification criterion and an algorithm for monitoring unauthorized power take-offs in a three-phase distributed network are formulated. The obtained results are oriented for the creation of algorithmic and special software for the subsystem of automated control of UPTO as part of the ACMSE.
Turatbek Omorov, Beishenaly Takyrbashev, Kubanychbek Zakiriaev, Zhenishkul Imanakunova, Taalaibek Koibagarov, and Abai Asiev
Melentiev Energy Systems Institute
Zh.S. Imanakunova, K. Satarkulov, D.Zh. Baibagysova, and A.K. Kadieva
EDP Sciences
Under consideration is a virtual device (VD) in NI – LabVIEW environment for the demonstration of a generator dynamic behavior close to borders of its stability area. The generator is operating for the unlimited power system. Capabilities of VD are demonstrated on a specific example. It was established that dynamic modes of various complexity – from stationary mode to attractors of different types that correspond to different modes of the generator under study can be observed in the system under consideration. Identification of chaotic modes of generator operation is a topical task as deterministic chaos due to its unpredictability is certainly an inadmissible phenomenon from the point of view of dynamic stability of its operation.