Nikolai I. Voropai
Russian Academy of Sciences
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Publication
Featured researches published by Nikolai I. Voropai.
ieee powertech conference | 2005
Yuri V. Makarov; Viktor I. Reshetov; Vladimir A. Stroev; Nikolai I. Voropai
The paper describes the unique wide-spread power system blackouts that happened recently in the United States, Italy, Sweden-Denmark and other countries. The summary of observations and recommendations are made. The authors indicate the items already addressed in the Russian emergency control and protection system.
IFAC Proceedings Volumes | 2010
Nikolai I. Voropai; Irina Kolosok; Viktor Kurbatsky; Pavel Etingov; Nikita Tomin; Elena Korkina; Aleksey S. Paltsev
Nowadays electric power industry is undergoing radical transformations. Therefore it is necessary to enhance the efficiency of electric power system operation and emergency control. The paper presents the main features of the advanced system for monitoring and forecasting of operating conditions and control of electric power systems. Current state estimation through the integration of traditional information and artificial intelligence technologies is presented. Short-term forecasting of operating conditions by advanced information technologies is discussed. The technique for adaptation of fuzzy logic PSS is suggested. Coordinated emergency control of load and FACTS devices is studied. PMU application to control transients by FACTS devices is discussed.
power and energy society general meeting | 2012
Nikolai I. Voropai; K. V. Suslov; T. V. Sokolnikova; Zbigniew A. Styczynski; Pio Alessandro Lombardi
The paper analyses specific features of a system for power supply to isolated territories and populated settlements in Russia. The problems of development of isolated power supply systems are formulated in terms of current trends, technologies and software tools. The optimization problem of different generation units mix is presented. Test system study is discussed.
power and energy society general meeting | 2012
Ulf Häger; Christian Rehtanz; Nikolai I. Voropai
Interstate connection of power grids provides multiple advantages concerning operational security, integration of renewable energies as well as electricity trading. Based on these boundary conditions, the ICOEUR Project (supported by EU-FP7 and the Russian federal agency of science and innovation) studies smart technologies, to enhance the transmission capability, observability and security level of large scale transmission grids, such as a possible future interconnection of the European and Russian transmission systems. In this paper we present a selection of results of the ICOEUR project including case studies, such as an autonomous real-time coordination system for Power Flow Controlling devices. All case studies in the ICOEUR project are carried out on a common network model, which was developed by the project partners based on publicly available data. This network model consists of 545 nodes and includes a reduced dynamic model of an interconnected transmission system of European Network of Transmission System Operators for Electricity (ENTSO-E) and Integrated Power System/Unified Power System (IPS/UPS).
power and energy society general meeting | 2008
Nikolai I. Voropai; D. N. Efimov
The paper suggests a formalized technology for the analysis of developing emergency processes of a cascade character in electric power systems. The technology is based on classification of events and states in the system those are caused by these processes and determination of interrelations between them. The technology of analysis is illustrated on the example of analysis of two system emergencies.
ieee powertech conference | 2007
Pavel Etingov; Alexandre Oudalov; Nikolai I. Voropai; Rachid Cherkaoui; Alain Germond
The paper presents an emergency control system based on the artificial neural network (ANN) technique. The control system is able to find a coordinated control action (load shedding, generator tripping) to prevent the violation of power system stability. Besides, the coordination of FACTS with conventional emergency control actions is studied. A 14 bus test power system is used as a case study. The efficiency of the proposed technique has been proved by numerical simulations under different power system operating conditions and for different emergency situations. The results obtained are presented.
ieee pes innovative smart grid technologies europe | 2012
Nikolai I. Voropai; Victor Kurbatsky; Nikita Tomin; Daniil Panasetsky
The adaptive emergency control concept is based on realization of a tradeoff between preventive and emergency control by combining preventive and emergency actions. The paper proposes to complement the existing control strategies by predictive control strategy - adaptive emergency control, which implies identification of the emergency, until the emergency has occurred. In this paper presented the smart predictive voltage stability assessment (VSA) for the adaptive emergency control techniques on the basis of the artificial neural network methodology. The main idea of the smart predictive VSA here is a creation of a neural network model, based on a self-organized Kohonen map SOM that will be able to perform monitoring and prediction of emergency condition. Simulation results are obtained by the proposed scheme for different power system networks to assess the security level of the network.
Journal of Electrical and Computer Engineering | 2012
Nikolai I. Voropai; Baasan Bat-Undraal
The paper addresses the problem of multicriteria reconfiguration of distribution network with distributed generation according to the criterion of minimum power loss under normal conditions and the criterion of power supply reliability under postemergency conditions. Efficient heuristic and multicriteria methods are used to solve the problem including advanced ant colony algorithm for minimum loss reconfiguration of distribution network, the sorting-out algorithm of cell formation for island performing in postemergency network, and the successive concessions method for multicriteria decision making. Demonstration studies have been carried out for the Central Power System of Mongolia.
power and energy society general meeting | 2010
Nikolai I. Voropai; D. N. Efimov; V. V. Khanaev
The paper focuses on the importance of demand management and load control for the development of electric power system and the provision of electricity supply reliability. The potential of controllable loads in Russia is estimated including electric vehicle transport, climate systems, household, industrial and agricultural consumers. The potential and optimal volumes of perspective controllable loads in Russia by 2030 are estimated.
power and energy society general meeting | 2009
Nikolai I. Voropai; D. N. Efimov
A growing share of distributed generation in EPS has not only positive sides but creates certain technical problems related to the change in the properties of systems, capabilities of controlling them under normal and emergency conditions. These problems are solvable, however dispatching and automatic control of EPS gets complicated and there is a need for new mathematical models for planning the expansion of EPS and power supply systems, analysis of their operation and control. The paper provides a survey and possible solutions of those problems.