The study of the isolated power supply system operation with controlled distributed generation plants, energy storage units and drive load

Author:

Bulatov Yu. N.1ORCID,Kryukov A. V.2,Suslov K. V.3

Affiliation:

1. Bratsk State University

2. Irkutsk State Transport University; Irkutsk National Research Technical University

3. Irkutsk National Research Technical University

Abstract

THE PURPOSE. Investigation of the operating modes of an isolated power supply system with controlled distributed generation plants, energy storage units and a drive load. Determination of the influence of the proposed prognostic controller of a distributed generation plant on the control parameters and quality indicators of the control process under various operating modes of an isolated power supply system.METHODS. The studies were carried out on a computer model of an isolated power supply system of an industrial enterprise with a turbine generator plant, a wind generator plant and a high-power electric storage unit, for which a fuzzy control system and a prognostic controller were used. The simulation was performed in MATLAB using Simulink and SimPowerSystems packages.RESULTS. The article describes a computer model of an isolated power supply system, as well as a structural diagram of the proposed autoprognostic speed controller. The simulation results showed that the combined use of an energy storage unit and an auto-prognostic generator rotor speed controller makes it possible to ensure the stability and survivability of an isolated power supply system, increasing its damping properties. The use of a fuzzy control system of a wind-generating plant made it possible to ensure its stable operation in all considered modes.CONCLUSION. The auto-prognostic speed controller, which does not require special settings, and the energy storage unit provide high quality control indicators in normal and emergency modes. It is advisable to conduct further studies to coordinate the actions of the control system of the electric energy storage unit and the auto-prognostic speed controller of the distributed generation plant.

Publisher

Kazan State Power Engineering University

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

Reference20 articles.

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3. Motalleb M, Reihani E, Ghorbani R. Optimal placement and sizing of the storage supporting transmission and distribution networks. Renewable Energy, Elsevier. 2016;94:651-659. doi: 10.1016/j.renene.2016.03.101

4. Martínez Ceseña EA, Capuder T, Mancarella P. Flexible distributed multienergy generation system expansion planning under uncertainty. IEEE Transaction on Smart Grid. 2016;7:348-357.

5. Myshkina LS. Distributed generation is a means of increasing power system survivability. Power engineering: research, equipment, technology. 2017;19(1-2):23-30. https://doi.org/10.30724/1998-9903-2017-19-1-2-23-30.

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