Imanakunova Zhenishkul
Verified @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
Scholar Citations
Scholar h-index
Scopus Publications
T.T. Omorov, B.K. Takyrbashev, K.E. Zakiryaev, Zh.S. Imanakunova, T.Zh. Koibagarov, and A.T. Asiev
E3S Web of Conferences, ISSN: 25550403, eISSN: 22671242, Volume: 384, Published: 26 April 2023
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
Mekhatronika, Avtomatizatsiya, Upravlenie, ISSN: 16846427, eISSN: 26191253, Pages: 24-32, Published: 2023
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.
Zh.S. Imanakunova, K. Satarkulov, D.Zh. Baibagysova, and A.K. Kadieva
E3S Web of Conferences, eISSN: 22671242, Published: 10 October 2018
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.