VIRTUAL SYNCHRONOUS GENERATOR TECHNOLOGY FOR IMPROVING THE STABILITY OF POWER SYSTEMS

2021 ◽  
Author(s):  
R.R. Sattarov ◽  
R.R. Garafutdinov
Keyword(s):  
Power Systems ◽  
Synchronous Generator ◽  
The Stability ◽  
Virtual Synchronous Generator

scholarly journals Overview of Methods for Determining Parameters of Synchronous Generators

2020 ◽  
Vol 20 (4) ◽  
pp. 103-113
Keyword(s):  
Power Systems ◽  
Computational Models ◽  
Meta Analysis ◽  
Measurement Data ◽  
Synchronous Generator ◽  
Adaptive Model ◽  
Operational Control ◽  
Synchronous Generators ◽  
Computing Power ◽  
The Stability

A synchronous generator is one of the key elements of any power system, having a significant impact on the stability and reliability of consumers’ power supply. Nowadays, the power systems emergency and operational control issues are being solved using computational models, the parameters whereof are determined using the reference data, or the data obtained during testing. High dependence of the models’ parameters on various external factors leads to a significant decrease in the accuracy of solving the issues of emergency and operational control. Identification based on the traditional telemetry systems or synchrophasor measurements is used to improve the accuracy of parameters of the power systems’ computational models. The purpose of this research lies in a meta-analysis of the available studies aimed at developing a methodology for determining parameters of a synchronous generator on the basis of measurement data. Russian and foreign studies were analyzed and grouped to achieve this goal. After that, for each group, advantages, disadvantages, and the area of application were identified. As a result, it is shown that the existing methods for determining parameters of synchronous generators based on measurement data cannot adapt to the source dataset and also require significant computing power. As a way to overcome these shortcomings, an adaptive model of a synchronous machine is proposed.

scholarly journals An Autonomous Power-Frequency Control Strategy Based on Load Virtual Synchronous Generator

Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 433 ◽  
Author(s):  
Jiangbei Han ◽  
Zhijian Liu ◽  
Ning Liang ◽  
Qi Song ◽  
Pengcheng Li
Keyword(s):  
Power Systems ◽  
Dynamic Stability ◽  
Control Strategy ◽  
Load Capacity ◽  
Frequency Control ◽  
Synchronous Generator ◽  
Active Power ◽  
Power Oscillation ◽  
Power Frequency ◽  
Virtual Synchronous Generator

With the increasing penetration of the hybrid AC/DC microgrid in power systems, an inertia decrease of the microgrid is caused. Many scholars have put forward the concept of a virtual synchronous generator, which enables the converters of the microgrid to possess the characteristics of a synchronous generator, thus providing inertia support for the microgrid. Nevertheless, the problems of active power oscillation and unbalance would be serious when multiple virtual synchronous generators (VSGs) operate in the microgrid. To conquer these problems, a VSG-based autonomous power-frequency control strategy is proposed, which not only independently allocates the power grid capacity according to the load capacity, but also effectively suppresses the active power oscillation. In addition, by establishing a dynamic small-signal model of the microgrid, the dynamic stability of the proposed control strategy in the microgrid is verified, and further reveals the leading role of the VSG and filter in the dynamic stability of microgrids. Finally, the feasibility and effectiveness of the proposed control strategy are validated by the simulation results.

Dynamic Performance Enhancement of Synchronous Generator Excitation via Nonlinear Backstepping Control

2017 ◽  
Vol 18 (4) ◽  
Author(s):  
Haitham Saad Mohamed Ramadan ◽  
Mohamed Becherif
Keyword(s):  
Power Systems ◽  
Transient Stability ◽  
Performance Enhancement ◽  
Dynamic Performance ◽  
Synchronous Generator ◽  
Nonlinear Character ◽  
Synchronous Generator Excitation ◽  
Single Machine Infinite Bus ◽  
The Stability ◽  
Nonlinear Backstepping Control

Abstract This paper addresses the transient stability problem in power systems of nonlinear character. A recursive nonlinear backstepping controller for improving the single machine infinite bus system’s dynamic behavior is proposed for the system global stabilization considering the network transfer conductances. Despite parameters uncertainties, nonlinear dynamics and/or disturbances, the feedback laws based on the backstepping approach are explicitly derived and the conservatism of the stability property is guaranteed for both lossy and lossless power system representations. Simulation results, via MATLAB™-Simulink, reveal that the proposed backstepping technique can be feasibly designed to ensure significant dynamic performance enhancements.

Synthesizing a Power System Stabilizer Using the Fuzzy Logic and Neural Network Methods

2021 ◽  
pp. 22-30
Author(s):  
Kahramon R. ALLAEV ◽  
◽  
Tokhir F. MAKHMUDOV ◽  
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Power Systems ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Power Transmission ◽  
Low Frequency ◽  
Synchronous Generator ◽  
Electromechanical Oscillations ◽  
The Stability

Power systems are large non-linear systems that are often subject to low frequency electromechanical oscillations with a frequency of 0.5–2.5 Hz. Power system stabilizers (PSS) are commonly used as effective and economically efficient means to dampen electromechanical oscillations of generators and increase the stability of power systems. PSS can increase the power transmission stability limits by adding a stabilizing signal through the channels of the automatic excitation control system. The article presents the results of training a neural network based on which a fuzzy logic PSS is obtained for increasing the stability of electric power systems. The synchronous generator rotor speed deviation and acceleration were taken as input data for the fuzzy logic controller. These variables have a significant effect on damping the rotor's electromechanical oscillations. The characteristics of the power system equipped with the proposed fuzzy logic based PSS are compared with its characteristics with a PSS with non-optimized parameters and without a PSS.

scholarly journals Dynamic Stability Enhancement Through the Application of Stabilizers of Electromechanical Oscillations

2021 ◽  
Vol 70 (1) ◽  
pp. 14-21
Author(s):  
Vladimir Franki ◽  
Alfredo Višković ◽  
Vladimir Valentić
Keyword(s):  
Power Systems ◽  
Power System ◽  
Dynamic Stability ◽  
Synchronous Generator ◽  
Response Analysis ◽  
Electromechanical Oscillations ◽  
Generator Model ◽  
Key Issues ◽  
The Stability ◽  
Stability Enhancement

Power system dynamic stability is one of key issues system engineers face. Oscillations that regularly occur in the system, limit the transmission capability of the network. The need to study the stability of power systems has been increasingly growing along with the development of power systems and their grouping into large interconnections. The focus of this paper is determining the dynamic stability of a synchronous generator, and thus the power system, by applying the general theory of stability of dynamic systems. Furthermore, the procedure for the initial adjustment of the parameters of a conventional (IEEE3 type PSS1A) stabilizer of electromechanical oscillations is briefly described based on the frequency response analysis of a linear generator model also known as the Heffron-Phillips generator model.

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