Hybrid Modeling and Management in Intelligent Power Systems

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Hybrid Modeling and Management in Intelligent Power Systems
Project annotation
Electric power systems are the most complicated and the largest dynamic systems in the
world. Implementation of innovations in electric power systems lead to modification of their
operation conditions and significant transformations in the power system structure. This
conditioned a significant complication of operation modes of electric power systems, made
them more dynamic and unpredictable, increased the risk of severe accidents. Thus, more
prompt and adequate reaction of accident-protection systems is required.
In 2005 - 2012, there were more than 30 serious accidents, which resulted in power failures
for 1 billion people that could last from 8 hours to several days. The main causes of severe
accidents are represented by systematic problems in making of decisions by accidentpreventing automatic systems and electric power system operators.
Development of effective technologies for electric power system management that would
drastically decrease number of accidents and increase the electric power system reliability is
impossible without accurate modeling, since all real experiment in this case are impractical.
A hybrid approach to modeling of complex dynamic systems in the only feasible method for
solution of the problem of adequate reproduction of processes occurring in electric power
systems.
Tomsk Polytechnic University (TPU) is the world leader in the field of hybrid modeling of
electric power systems. At the time, Melentiev Energy Systems Institute of Siberian Branch
of the Russian Academy of Sciences (ESI SB RAS) is one of the leading centers in the field
of mode control of electric power systems. Scientific school headed by N. I. Voropai, the
director of ESI, has vast experience in development of safety methods and facilities for
electric power systems. In 2013, by order of the Ministry of Energy of the Russian
Federation Professor Voropai has developed a concept of reliability in electric power
industry.
Development and improvement of methods and hardware-software systems for hybrid
modeling of electric power systems, including intelligent energy systems, will be
implemented in the form of development of required mathematical models of new elements
for intelligent power systems (FACTS (Flexible Alternative Current Transmission Systems),
DC links, energy accumulators, etc.), advanced devices for protection and automation,
integration of various physical devices (power elements and control systems) into modeling
system, updates for software package of the complex.
Technologies and devices for their implementation developed withing the project allow
radical reduction of severe accidents number and minimization of losses caused by their
propagation.
Aim of the project – creation of new, world-leading innovative technologies for intelligent
power systems and new electric devices, creation of educational products and training of
world-level specialists in the field of electric power.
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Implementation of the project will be founded on creation of research center entitled "Hybrid
modeling and management in intelligent power systems".
Key point of the project is presented by integration of research experience of TPU in the
field of hybrid modeling of electric power systems and research experience of ESI in the
field of mode control of electric power systems. Such integration will allow achievement of
synergistic effect in relation of substantial development of the theory of hybrid modeling and
mode control of intelligent power systems.
The project objectives are:
1) Creation of technologies and devices for their implementation aimed at prevention of
accidents and reduction of losses if they are inevitable.
2) Implementation of theoretical and methodical developments in the form of simulators and
operator advisors, prototypes of intelligent electric power systems, systems for
comprehensive testing of protective devices, automatics and control equipment.
3) Performance of studies with application of hybrid modeling for development of methods
and means of intelligent mode control in complex electric power systems on the basis of
distributed multi-agent technologies considering the necessity of coordination, adaptation
and hierarchical architecture of control systems.
4) Improvement and development of hybrid modeling of TPU electric power system for
studies and development of methods and means of mode control for intelligent electric
power systems.
5) Implementation of deliverables of theoretical and applied project developments in
educational process of TPU with organization of new courses, creation of special
demonstration models for the purpose of advanced specialists training for satisfaction of
electric power companies` demand in highly qualified specialists.
Anticipated results:
1.
New technologies (including multi-agent ones) in the field of mode control of
electric power systems.
2.
New accident-preventing automatic systems that include devices for local and
systemic accident-preventing automatics, which employ multi-agent technologies for making
decisions on accident-preventing actions in intelligent power systems.
3.
New principles and methods for modeling of intelligent electric power systems and
their mode control, published in periodicals with a high citation index, presented in patents
for inventions and utility models (including international ones);
4.
New approaches to calculation of static and dynamic stability of electric power
systems;
5.
Development and implementation of the programme entitled "Design and Control
of Smart Power Systems" in collaboration with such universities as Superlec (Paris, France)
and INPG (Grenoble, France).
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Funding
Year 2014: state subsidy in the amount of RUR 45,220,000, co-financing in the amount of
RUR 18,470,000;
Year 2015: state subsidy in the amount of RUR 47,930,000, co-financing in the amount of
RUR 26,600,000;
Year 2016: state subsidy in the amount of RUR 39,950,000, co-financing in the amount of
RUR 28,250,000;
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