Smart grid for the energy efficient power system of the future (project "Baikal")

Partners:

Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences

Otto von Guericke University Magdeburg

Fraunhofer IFF 

Term of project implementation: November 2011 - December 2013.

Brief description of the project goals and objectives achieved (including information about practical implementation of the project results):

An optimization model of the structure of virtual power plants was developed, which allows choosing the optimal solution based on the matching of economic, environmental, reliability criteria.

  • The principles of energy storages placement and the methods of their parameters determination were developed.
  • The principles of selection in Russia the autonomous power supply systems with the different types of distributed generation energy sources were developed.
  • The problem of identification of the rational structures and parameters of power supply systems with devices of distributed generation was solved. It was shown that the usage of technologies with distributed generation, not only improves the reliability and reduces the energy costs, but also allows to improve the power quality of the power supply systems; in particular, the investigations have shown that the distributed generation units can be used to reduce the voltage fluctuation, voltage nonsinusoidality ratio and voltage unsymmetry in the power-supply systems of railways.
  • The problem of identification the power elements in electric power system (EPS) was defined and the method of their parameters definition based on synchronized phasor measurements of voltages and currents was suggested; this method is constructed on the basis of phase coordinates and is used for the problems of control the complicated asymmetric modes of electric power systems based on the technology of smart grid.
  • The method of parametric identification of power transmission lines was supposed, which is based on the information received from Phasor Measurement Units PMU-WAMS and differs from the known methods due to its structure of power transmission lines model in the form of a grid equivalent circuit.
  • The robustness of the proposed identification models of power transmission lines and the robustness of transformers in the variation of measurement errors of phasor currents and voltages in the range of accuracy class of PMU devices were shown based on the computer simulations.
  • Data structures of CIM-models for SCADA software were developed, researches for these models usage for existing software systems were carried out.