CRITERIA FOR OPERATIONAL MONITORING OF PROFESSIONAL CONCEPTS BASE OF THE COMPLEX OF POWER SYSTEM CONTROL AUTOMATION
DOI:
https://doi.org/10.24025/2306-4412.1.2021.230075Keywords:
dispatch control, ontology, thesaurus, colocation, semantics, abbreviationAbstract
The article is devoted to the problem of developing criteria for operational monitoring and evaluating the effectiveness of an intelligent decision support system for emergency control of power systems modes based on the use of professional concepts and specialized thesaures. Criteria for calculating the efficiency of using professional concepts of the thesaurus of knowledge on the automation of emergency response in the power system are proposed. Scientific novelty lies in the development and application of efficiency coefficients of the thesaurus of professional vocabulary, based on the presentation of professional concepts of knowledge about the elimination of accidents in the power system. The obtained indicators allow us to assess the degree of professionalism and effectiveness of the linguistic corpus and build productive knowledge bases. In contrast to the existing approaches to building knowledge bases, the proposed approach makes it possible to unify the design of decision support systems and reduce the time of their implementation. Practical significance of the results obtained is in assessing the effectiveness of using professional knowledge to build unified intelligent decision support systems in the field of emergency management of power systems. The results of the work consist in ensuring operational monitoring of the effectiveness of using the knowledge base of professional concepts of terms and slang. The model for assessing the effectiveness of a professional thesaurus, based on the ratio of growth rates of general and specialized professional thesaurus is proposed. Research results prove that professional thesauruses are becoming more effective as they move to more specific specialized scientific and technical fields.
References
"The emergency in the energy system of Ukraine has doubled in a year", Unian. net, 2021. [Online]. Available:https://www.unian.net/economics/energetics/1073586-avariynost-v-energosistemeukrainyi-za-god-vyirosla-vdvoe.html [in Russian].
Y. Besanger, M. Eremia, and N. Voropai, "Major grid blackouts: Analysis, classification, and prevention", in Handbook of electrical power system dynamics: Modeling, stability, and control. New Jersey: Wiley, IEEE Press, 2013, pp. 789-863.
S. Smolovik, "The role of the "human factor" in the development of major systemic accidents", Elektroenergetika, vol. 1, no. 1, pp. 16-19, 2008 [in Russian].
SCADA System. Application Guide., 1st ed. Milwaukee: Allen-Bradley, Rockwell Automation, 2005, p. 420.
Ministry of Fuel and Energy of Ukraine. State Enterprise National Energy Company "Ukrenergo", "DS-8 instruction for the prevention and elimination of technological disruptions in the electrical part of power plants and electrical grids in the Dnieper ES region", Dnieper electric power system, Zaporіzhzhya, 2008 [in Ukrainian].
A. A. Bashlykov, and A. P. Eremeev, Fundamentals of designing intelligent decision support systems in nuclear power. Мoscow: INFRA-M, 2017 [in Russian].
A. M. Glazunova, and I. N. Kolosok, "Solving dispatch control problems for intelligent electric power systems based on state estimation methods", in Energy of Russia in the XXI century. Innovative development and management. Irkutsk, 2015, pp. 1-8 [in Russian].
M. Negnevitsky, N. Tomin, D. Panasetsky, and V. Kurbatsky, "Intelligent approach for preventing large-scale emergencies in electric power systems", in IEEE Int. Conf. on Electric Power Engineering PowerTech, France, 2013, pp. 1-6.
S. A. Grishanov, and N. A. Kanashevich, "Implementation of an expert system for diagnostics of generators of thermal power plants", in Collection of scientific papers of the X Int. Sci. and Tech. Conf. of Young Scientists and Specialists, Kremenchuk, 2012, pp. 305-306 [in Ukrainian].
S. A. Barkalov, A. V. Dushkin, and S. A. Kolodyazhny, Introduction to system design of intelligent knowledge bases. Moscow: Goryachaya liniya-Telekom, 2017 [in Russian].
A. N. Antamoshin, O. N. Bliznova, and A. A. Bol'shakov, Intelligent management systems for organizational and technical systems, 2nd ed. Мoscow: Goryachaya liniya-Telekom, 2016 [in Russian].
Yu. Ya. Lyubarskij, Intelligent information systems. Мoscow: Nauka. Gl. red. fiz.-mat. lit., 1990 [in Russian].
A. A. Azaryan, and І. A. Kotov, "Structurallogical model of facts as a means of representing the characteristics of the components of electric power systems", Hirnychyi visnyk: sci.-tech. coll. Kryvyi Rih, no. 103, pp. 136-141, 2018 [in Ukrainian].
К. Iskandar, M. Jambak, R. Kosalaa, and H. Prabowo, "Current issue on knowledge management system for future research: A systematic literature review", in 2nd Int. Conf. on Computer Science and Computational Intelligence (ICCSCI) 2017, Bali, 2017, pp. 68-80.
V. Morkun, and I. Kotov, "Information technologies for power supply dispatch control based on linguistic corpus ontologies", Naukovyi visnyk Natsionalnoho hirnychoho universytetu: coll. of sci. works, Dnipro: NTU "Dnіprovs'ka polіtekhnіka", no. 6 (174), pp. 130-136, 2019.
S. Deveradzh, and R. Kohli, "Secrets of IT. Measuring of return on investment in information technology". Мoscow: Buk-Press, 2006 [in Russian].
V. Lipaev, Selection and evaluation of characteristics of software quality: Methods and standards. Мoscow: Sinteg, 2001 [in Russian].
B. Zhelezko, and O. Sinyavskaya, "Methods for assessing the effectiveness of intellectual components of decision support systems", auchnyye trudy Belorusskogo gosudarstvennogo ekonomicheskogo universiteta:coll. / V. N. Shimov et al. (ed. board). Minsk: BGEU, 2010, pp. 139-144 [in Russian].
A. L. Ryzhko, N. M. Lobanova, N. A. Ryzhko, and E. O. Kuchinskaya, Economics of information systems. Мoscow: Finansovyy un-t, 2014 [in Russian].
Ministry of Fuel and Energy of Ukraine. State Enterprise National Energy Company "Ukrenergo", "Instruction for eliminating accidents and technological disturbances in electrical networks of VAT ЕК "Dniprooblenergo", Dnieper electric power system. Zaporizhzhia, 2007 [in Ukrainian].
A. F. Dyakov, I. E. Lekovec, G. V. Merkurev, and A. D. Sherbakov, "Evaluation of emergency training of operating and dispatching personnel of power systems", Elektricheskiye stantsii, vol. 2, pp. 58-65, 1997 [in Russian].
G. V. Merkurev, Operational dispatch control of power systems. St. Petersburg: Tsentr podgotovki kadrov energetiki, 2002 [in Russian].
Downloads
Published
How to Cite
Issue
Section
URN
License
Copyright (c) 2021 Володимир Моркун, Ігор Котов The authors who publish in this journal agree to the following terms:The authors reserve the right to authorship of their work and give the journal the right to first publish this work under the terms of the Creative Commons Attribution License CC BY-NC, which allows other persons to freely distribute published work with a mandatory reference to authors of the original work and the first publication of the work in this journal.
Authors have the right to conclude separate additional agreements for the non-exclusive distribution of the paper in the form in which it was published by this journal (for example, posting work in electronic repository or publishing as part of a monograph), provided that the link to the first publication in this journal is maintained.
The journal policy allows and encourages authors to post on the Internet (for example, in repositories of institutions or on personal websites) the manuscript of work, both before the submission of this manuscript to the editorial staff, and during its editorial work, as it contributes to the emergence of productive scientific discussion and positively affects the efficiency and dynamics of published work citation (see The Effect of Open Access).
