Abstract

Energy storage units (ESU) and distributed generation (DG) plants including those using renewable energy sources can be used to develop isolated power supply systems (IPSS) and enhance their reliability. Operation of DG plants in the IPSS requires to consider restrictions for consumers maximum load, as well as effects of abrupt load increase or load shedding on the generating plants. These problems can be resolved using ESU and intelligent technologies for DG plants control. The paper considers IPSS of an industrial facility with turbogenerator plants (TGP), wind power plant (WPP) and high-capacity ESU for which fuzzy control systems and prognostic controllers were used. The simulation was performed in the MATLAB system using the Simulink and SimPowerSystems software packages. Normal and emergency modes were studied in IPSS with TGP, WPP, and high-capacity ESU. The simulation results indicated that combined use of high-capacity ESU and prognostic controller of TGP generator rotor speed allows to ensure stability and survivability of IPSS enhancing its damping properties. The auto-prognostic controller of the TGP generator, which does not require special adjustment, provides high quality indicators of the IPSS control in all considered modes.

Highlights

  • A fairly large proportion of power supply systems operate in isolation, that is, without communication with a high-power electric energy system (EES)

  • A separate accumulator battery was simulated in wind power plant (WPP), when the battery was connected to the DC buses of the DC link, and used to stabilize the WPP parameters due to a change in wind speed

  • The use of a permanently connected powerful Energy storage units (ESU) in isolated power supply systems (IPSS) makes it possible to strictly limit the voltage deviation (Fig. 6): voltage dip is reduced by 5 times; there is no overvoltage when using ESU

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Summary

Introduction

A fairly large proportion of power supply systems operate in isolation, that is, without communication with a high-power electric energy system (EES). A fairly effective way to control DG plants based on synchronous generators is the use of fuzzy controllers [16,21,22,23] and prognostic algorithms [24,25,26,27,28], which make it possible to create adaptive systems. The following elements were used as sources in the considered IPSS: a turbine generator plant (TGP) with an auto-prognostic generator rotor speed controller [218], a wind power plant (WPP) with a blade angle fuzzy controller [23] and a storage device, the energy intensity and power of which is sufficient to cover the facility entire load for a long time.

Description of IPSS computer model with DG plant and ESU
Simulation results
Conclusion
Full Text
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