scholarly journals Impact of Virtual Synchronous Machines on Low-Frequency Oscillations in Power Systems

2020 ◽  
pp. 1-1
Author(s):  
Muftau Olatunji Baruwa ◽  
Meghdad Fazeli
Keyword(s):  
Power Systems ◽  
Low Frequency ◽  
Synchronous Machines ◽  
Low Frequency Oscillations

A Clustering-Based Approach for Estimation of Low Frequency Oscillations in Power Systems

2020 ◽  
Vol 35 (6) ◽  
pp. 4666-4677
Author(s):  
Piyush Warhad Pande ◽  
Saikat Chakrabarti ◽  
Suresh Chandra Srivastava ◽  
Subrata Sarkar
Keyword(s):  
Power Systems ◽  
Low Frequency ◽  
Low Frequency Oscillations

Sparse learning of network-reduced models for locating low frequency oscillations in power systems

2020 ◽  
Vol 262 ◽  
pp. 114541
Author(s):  
Zuowei Ping ◽  
Xiuting Li ◽  
Wei He ◽  
Tao Yang ◽  
Ye Yuan
Keyword(s):  
Power Systems ◽  
Low Frequency ◽  
Sparse Learning ◽  
Reduced Models ◽  
Low Frequency Oscillations

scholarly journals Low frequency oscillations in power systems: A physical account and adaptive stabilizers

Sadhana ◽  
1993 ◽  
Vol 18 (5) ◽  
pp. 843-868 ◽  
Author(s):  
D P Sen Gupta ◽  
Indraneel Sen
Keyword(s):  
Power Systems ◽  
Low Frequency ◽  
Low Frequency Oscillations

Analysis of Very Low Frequency Oscillations in Hydro-Dominant Power Systems Using Multi-Unit Modeling

2012 ◽  
Vol 27 (4) ◽  
pp. 1906-1915 ◽  
Author(s):  
Hugo Villegas Pico ◽  
James D. McCalley ◽  
Andrea Angel ◽  
Ramon Leon ◽  
Neby J. Castrillon
Keyword(s):  
Power Systems ◽  
Low Frequency ◽  
Very Low Frequency ◽  
Low Frequency Oscillations

scholarly journals Design of a Damping Controller Using a Metaheuristic Algorithm for Angle Stability Improvement of an SMIB System

2022 ◽  
Vol 12 (2) ◽  
pp. 589
Author(s):  
Abdul Waheed Khawaja ◽  
Nor Azwan Mohamed Kamari ◽  
Muhammad Ammirrul Atiqi Mohd Zainuri
Keyword(s):  
Power Systems ◽  
Damping Ratio ◽  
Dynamic Performance ◽  
Low Frequency ◽  
Optimal Solution ◽  
System Stability ◽  
Large Power ◽  
Low Frequency Oscillations ◽  
Effective Role ◽  
Single Machine Infinite Bus

Low frequency oscillations in large power systems may result in system instability under large disturbances. Power system stabilisers (PSS) play an effective role in damping these low frequency oscillations by injecting a modulating signal in the excitation loop of a synchronous machine. A new metaheuristic optimisation algorithm termed the sine cosine algorithm (SCA) was proposed for optimising PSS controller parameters to obtain an optimal solution with the damping ratio as an objective function. The SCA technique was examined on a single machine infinite bus (SMIB) system under distinct loading situations and matched with a moth flame optimisation technique and evolutionary programming to design a robust controller of PSS. The simulation was accomplished using a linearised mathematical model of the SMIB. The performance of a designed lead lag-controller of PSS was demonstrated using eigenvalue analysis with simulations, showing promising results. The dynamic performance was validated with respect to the damping ratio, the eigenvalue’s location in the s-plane and rotor angle deviation response to demonstrate system stability.

scholarly journals Effective damping of local low frequency oscillations in power systems integrated with bulk PV generation

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Ahmed Hesham Abd El-Kareem ◽  
Mohamed Abd Elhameed ◽  
Mahmoud M. Elkholy
Keyword(s):  
Power Systems ◽  
Objective Function ◽  
Damping Ratio ◽  
Low Frequency ◽  
Synchronous Generator ◽  
Synchronous Generators ◽  
Local Modes ◽  
Low Frequency Oscillations ◽  
Electromechanical Modes ◽  
System Stabilizer

AbstractHigh penetration of renewable sources into conventional power systems results in reduction of system inertia and noticeable low-frequency oscillations (LFOs) in the rotor speed of synchronous generators. In this paper, we propose effective damping of LFOs by incorporating a supplementary damping controller with a photovoltaic (PV) generating station, where the parameters of this controller are coordinated optimally with those of a power system stabilizer (PSS). The proposed method is applied to damp local electromechanical modes by studying a system comprising a synchronous generator and a PV station connected to an infinite bus. The PV station is modeled following the instructions of the Western Electricity Coordinating Council. The problem is modeled as an optimization problem, where the damping ratio of the electromechanical modes is designed as the objective function. Constraints including upper and lower limits of decision parameters and damping ratio of other modes are considered by imposing penalties on the objective function. Different optimization algorithms are used to pursue the optimal design, such as political, improved gray wolves and equilibrium optimizers. The results validate the effectiveness of the proposed controller with PSS in damping local modes of oscillations.

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