Kooperativer Bibliotheksverbund

Berlin Brandenburg


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  • 1
    Language: English
    In: The European Physical Journal Special Topics, 2014, Vol.223(12), pp.2387-2409
    Description: Transient stability and steady-state (small signal) stability in power girds are reviewed. Transient stability concepts are illustrated with simple examples; in particular, we consider three methods for computing region of attraction: time-simulations, extended Lyapunov function, and sum of squares optimization method. We discuss steady state stability in power systems, and present an example of a feedback control via a communication network for the 10 Unit 39 Bus New England Test system.
    Keywords: Electrical Engineering ; Computer Science;
    ISSN: 1951-6355
    E-ISSN: 1951-6401
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  • 2
    Description: We consider an integration of renewable energy into transport and electricity sectors through vehicle to grid (V2G) technologies for an energy system that is predominantly based on lignite. The national energy system of Macedonia is modeled using EnergyPLAN which integrates energy for electricity, transport and heat, and includes hourly fluctuations in human needs and the environment. We show that electric-vehicles can provide the necessary storage enabling a fully renewable energy profile for Macedonia that can match the country's growing demand for energy. Furthermore, a large penetration of electric vehicles leads to a dramatic reduction of 47% of small particles and other air pollutants generated by car traffic in 2050. Comment: 15 pages, 9 figures. The paper is accepted for publication in the European Physics Journal - Special Topics
    Keywords: Physics - Physics And Society
    ISSN: 19516355
    E-ISSN: 19516401
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  • 3
    Language: English
    In: Cognitive Processing, 2009, Vol.10(Supplement 1), pp.41-53
    Description: This paper is to investigate the use of adaptive observers for the modeling of biological neurons and networks. Assuming that a neuron can be modeled as a continuous-time nonlinear system, it is possible to determine its unknown parameters using adaptive observer, based on the concept of adaptive synchronization. The same technique can be extended for the identification of an entire biological neural network. Some conventional observer designs are studied in this paper and satisfactory results are obtained, yet with some restrictions. To further extend the applicability of adaptive observers for the modeling process, a new design is suggested. It is based on a combination of linear feedback control approach and the dynamical minimization algorithm. The effectiveness of the designed adaptive observer is confirmed with simulations.
    Keywords: Adaptive observers ; Estimation ; Identification ; Models of neurons
    ISSN: 1612-4782
    E-ISSN: 1612-4790
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