Novel Approach for Secure Islanding Detection in Synchronous Generator Based Microgrids

Abstract: An islanding detection and based control strategy is created in this exploration to accomplish the steady and independent activity of microgrids using the neural network based Virtual Synchronous Generator (VSG) idea during unplanned grid reconfigurations . Maybe of utilizing a design-orientedmethodology, this paper gives a rigorous and extensive hypothetical investigation and reaches a concise conclusion that is easy to execute and successful even in complex situations. Based on the results of the mutation sequence and voltage wavering, a neural network based islanding identification calculation is proposed, which requires less constraint strategy. The proposed neural network approach outperforms the thefrequency measured passive detection method in terms of detection speed and reliability. Broad recreations affirm the reasonableness of the proposed islanding location and control methodology. Additionally, think about the results of the reproductions for the PI regulator, fluffy organizations, and neural organizations. Keywords: Virtual Synchronous Generator, Islanding detection, Islanding operation, Droop control, Stability, Microgrids.

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Impact of Islanding Detection Time Duration on the Stable Operation of a Synchronous Generator Controlled Microgrid

Technology and Economics of Smart Grids and Sustainable Energy ◽

10.1007/s40866-016-0019-9 ◽

2017 ◽

Vol 2 (1) ◽

Cited By ~ 2

Author(s):

N. W. A. Lidula ◽

A. D. Rajapakse ◽

D. Muthumuni ◽

C. Senkow

Keyword(s):

Synchronous Generator ◽

Stable Operation ◽

Islanding Detection ◽

Detection Time ◽

Time Duration

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Power System Stabilizer Tuning Algorithm in a Multimachine System Based on S-Domain and Time Domain System Performance Measures

Energies ◽

10.3390/en14185644 ◽

2021 ◽

Vol 14 (18) ◽

pp. 5644

Author(s):

Predrag Marić ◽

Ružica Kljajić ◽

Harold R. Chamorro ◽

Hrvoje Glavaš

Keyword(s):

Power Systems ◽

Power System ◽

Time Domain ◽

Synchronous Generator ◽

Pole Placement ◽

Power System Stabilizer ◽

Weight Functions ◽

Novel Approach ◽

The Time Domain ◽

System Stabilizer

One of the main characteristics of power systems is keeping voltages within given limits, done by implementing fast automatic voltage regulators (AVR), which can raise generator voltage (i.e., excitation voltage) in a short time to ceiling voltage limits while simultaneously affecting the damping component of the synchronous generator electromagnetic torque. The efficient way to increase damping in the power system is to implement a power system stabilizer (PSS) in the excitation circuit of the synchronous generator. This paper proposes an enhanced algorithm for PSS tuning in the multimachine system. The algorithm is based on the analysis of system participation factors and the pole placement method while respecting the time domain behavior of the system after being subdued with a small disturbance. The observed time-domain outputs, namely active power, speed, and rotor angle of the synchronous generator, have been classified and validated with proposed weight functions based on the minimal square deviation between the initial values in a steady-state and all sampled values during the transitional process. The system weight function proposed in this algorithm comprises s-domain and time-domain indices and represents a novel approach for PSS tuning. The proposed algorithm performance is validated on IEEE 14-bus system with a detailed presentation of the results in a graphical and table form.

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