APPLICATION OF A GAS TURBINE PLANT WITH PREDICTIVE CONTROLLERS IN AN ISOLATED POWER SUPPLY SYSTEM WITH AN ASYNCHRONOUS LOAD

2021 ◽  
pp. 48-54
Author(s):  
Yu.N. BULATOV ◽  
◽  
A.V. KRYUKOV ◽  
K.V. SUSLOV ◽  
M.A. POLYACHKOVA ◽  
...  
Keyword(s):  
Gas Turbine ◽  
Power Supply ◽  
Power Supply System ◽  
Supply System ◽  
Turbine Plant ◽  
Gas Turbine Plant ◽  
Predictive Controllers

scholarly journals Research of Operation of Predictive Controllers of Distributed Generation Plant in Power Supply System with Energy Storage

2021 ◽  
pp. 448-458
Author(s):  
Yuri N. Bulatov ◽  
Andrey V. Kryukov ◽  
Konstantin V. Suslov
Keyword(s):  
Energy Storage ◽  
Distributed Generation ◽  
Power Supply ◽  
Power Supply System ◽  
Electric Energy ◽  
Synchronous Generator ◽  
Supply System ◽  
Storage Device ◽  
Energy Storage Device ◽  
Predictive Controllers

The article discusses the power supply system of an industrial enterprise, which included a turbine generator plant operating on the basis of a synchronous generator equipped with predictive voltage and rotor speed controllers, as well as a high-power electric energy storage device. A description of the models of this plant, predictive controllers and energy storage, as well as the results of modeling when the system goes into an isolated mode of operation are given. Simulation was performed in MATLAB environment using Simulink and SimPowerSystems packages. The purpose of the work was to study the behavior of the proposed predictive controllers during the transition of the power supply system to the island (isolated) mode. Based on the results of computer simulation, it was concluded that the use of predictive controllers improves the damping properties of the system. The use of an energy storage device that is automatically connected to the network when the voltage drops, allows to reduce the overvoltage at the terminals of the generator during its unloading, as well as to reduce the required mechanical power on the turbine shaft in comparison with a permanently connected device. Predictive controllers can be recommended to increase the stability of distributed generation plants when switching to an isolated mode. It is advisable to conduct further research in the direction of creating algorithms for coordinated operation of controllers

scholarly journals Joint voltage and frequency predictive controllers for distributed generation plants

2021 ◽  
Vol 25 (5) ◽  
pp. 568-585
Author(s):  
Yu. N. Bulatov
Keyword(s):  
Quality Indicators ◽  
Distributed Generation ◽  
Power Supply ◽  
Power Supply System ◽  
Supply System ◽  
Voltage Sag ◽  
Transient Time ◽  
Operating Modes ◽  
Supply Systems ◽  
Predictive Controllers

The paper determines the effect of proposed joint voltage and frequency predictive controllers for distributed generation (DG) plants on quality indicators characterizing the control process in different operating modes of power supply systems. The studies are conducted in the MatLab environment (Simulink and SimPowerSystems simulation packages) employing control engineering methods. It is proposed to design and adjust joint predictive controllers by determining the resonant frequency of oscillations for the master generator rotor. This approach provides better quality indicators of voltage and frequency control in power supply systems while maintaining the same settings for the controllers of DG plants. With an additional load in an isolated power supply system, the maximum voltage sag is found to be 1.75 times lower than for local predictive control and 3.5 times lower as compared to the use of conventional controllers. For the specified mode, predictive controllers enable a threefold reduction in the transient time between rotor rotational speeds in a synchronous generator. In the start mode of a powerful electric motor, the predictive controllers of synchronous generators in the power supply system enable a 1.5 times reduction in voltage sag, with a 1.4 times reduction in overvoltage following its start. In the case of a short-term three phase short-circuit, joint predictive controllers allow a 1.5 times decrease in transient time and a 2.3 times decrease in the overshoot of power line frequency as compared to local control. In addition, frequency oscillation in the power system is also reduced. Similar effects are observed in other operating modes of the considered power supply systems equipped with DG plants. The performed dynamic simulation confirms the effectiveness of using joint voltage and frequency predictive controllers for DG plants, which consists in a positive impact on the quality of processes involved in controlling the parameters of power supply systems in various operating modes.

scholarly journals USE OF GAS TURBINE TECHNOLOGIES FOR POWER SUPPLY OF THE OIL AND GAS COMPLEX

2022 ◽  
Vol 1 (15) ◽  
pp. 8-11
Author(s):  
Oleg Arsent'ev ◽  
Yuliya Shalashova ◽  
Denis Zaycev
Keyword(s):  
Power System ◽  
Gas Turbine ◽  
Power Supply ◽  
Power Supply System ◽  
Oil And Gas ◽  
Supply System ◽  
Stable Operation ◽  
Design Features ◽  
Autonomous Power System ◽  
Oil And Gas Enterprises

The features of power supply for oil and gas enterprises, the design, features of the operation of gas turbine plants, methods of organizing a power supply system with elements of its own generation are considered, an autonomous power system with the organization of a direct cur-rent link has been developed to ensure stable operation of gas turbine units operating in paral-lel.

Development of the algorithm for the selection of a wind generator-based autonomous power supply system

2019 ◽  
Vol 2 (1) ◽  
pp. 8-16 ◽  
Author(s):  
P. A. Khlyupin ◽  
G. N. Ispulaeva
Keyword(s):  
Wind Turbines ◽  
Power Supply ◽  
Alternative Energy ◽  
Power Supply System ◽  
Supply System ◽  
Power Generators ◽  
Energy Devices ◽  
Wind Generator ◽  
Alternative Energy Sources ◽  
Selection Of

Introduction: The co-authors provide an overview of the main types of wind turbines and power generators installed into wind energy devices, as well as advanced technological solutions. The co-authors have identified the principal strengths and weaknesses of existing wind power generators, if applied as alternative energy sources. The co-authors have proven the need to develop an algorithm for the selection of a wind generator-based autonomous power supply system in the course of designing windmill farms in Russia. Methods: The co-authors have analyzed several types of wind turbines and power generators. Results and discussions: The algorithm for the selection of a wind generator-based autonomous power supply system is presented as a first approximation. Conclusion: The emerging algorithm enables designers to develop an effective wind generator-based autonomous power supply system.

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