Abstract

The widespread use of distributed generation (DG) plants in cyber-physical power supply systems (CPPSS) requires solving the complex problem of setting their regulators. The presented study aimed to determine the performance of the group predictive voltage and frequency regulators of DG plants in CPPSS. These studies were conducted in the MatLab environment on the CPPSS models with gas turbine units and with a small-scale hydroelectric power plant. The proposed method for tuning group predictive regulators makes it possible to improve the quality control indices. The research has established that with an additional load connected, the maximum voltage dip is reduced by a factor of 3.5 compared to conventional control regulators. In addition, the time of a transient process for the generator rotor speed is decreased by a factor of 3. In the case of a short-term short circuit, predictive regulators can reduce the time of the transient process by a factor of 1.5 and the overshoot by more than 2 times. The simulation results have confirmed the efficiency of group predictive regulators when used in DG plants, i.e., improvement of the quality of control processes in various operating modes.

Highlights

  • Modern power supply systems comprise a large number of measuring and control devices interacting with power elements, and they can be transformed into a class of cyber-physical systems

  • The results show show that the usethe of use group regulation, when when compared local regulation, the following (i) the voltagetime transicompared to local to regulation, achievesachieves the following effects: (i)effects: the voltage transient deent time byvoltage

  • The study has examined the possibility of using group voltage and frequency regThethat study has examined the possibility ofautomatically using group voltage frequency reguulators employ linear predictive links with changingand prediction time lators that employ linear predictive links with automatically changing prediction depending on the load angle, δ, of the synchronous generator in various distributedtime depending on the load angle, δ, of the synchronous generator in various distributed generation plants

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Summary

Introduction

Modern power supply systems comprise a large number of measuring and control devices interacting with power elements (electricity transmission lines, transformers, motors, etc.), and they can be transformed into a class of cyber-physical systems. The concept of cyber-physical power supply systems (CPPSS) is based on deep integration of computing resources into physical processes [1] and the use of intelligent algorithms in control devices of power elements. The establishment and research of cyber-physical energy systems and power supply systems are the focus of a significant number of works. [1] addresses the issues of CPPSS cybersecurity analysis. The authors of [2] consider the concept of CPPSS to ensure stability. The CPPSS reliability assessment and analysis are discussed in [3,4]

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