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.

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 Synchronous Generator Model Parameter Estimation Based on Noisy Dynamic Waveforms

2016 ◽  
Vol 67 (1) ◽  
pp. 21-28
Author(s):  
Sebastian Berhausen ◽  
Stefan Paszek
Keyword(s):  
Parameter Estimation ◽  
Power Systems ◽  
Power System ◽  
Objective Function ◽  
Estimation Method ◽  
Synchronous Generator ◽  
Voltage Regulation ◽  
Operating Conditions ◽  
Synchronous Generators ◽  
Generator Voltage

Abstract In recent years, there have occurred system failures in many power systems all over the world. They have resulted in a lack of power supply to a large number of recipients. To minimize the risk of occurrence of power failures, it is necessary to perform multivariate investigations, including simulations, of power system operating conditions. To conduct reliable simulations, the current base of parameters of the models of generating units, containing the models of synchronous generators, is necessary. In the paper, there is presented a method for parameter estimation of a synchronous generator nonlinear model based on the analysis of selected transient waveforms caused by introducing a disturbance (in the form of a pseudorandom signal) in the generator voltage regulation channel. The parameter estimation was performed by minimizing the objective function defined as a mean square error for deviations between the measurement waveforms and the waveforms calculated based on the generator mathematical model. A hybrid algorithm was used for the minimization of the objective function. In the paper, there is described a filter system used for filtering the noisy measurement waveforms. The calculation results of the model of a 44 kW synchronous generator installed on a laboratory stand of the Institute of Electrical Engineering and Computer Science of the Silesian University of Technology are also given. The presented estimation method can be successfully applied to parameter estimation of different models of high-power synchronous generators operating in a power system.

Mitigation of low frequency oscillations in power systems based on Mamdani fuzzy inference

2019 ◽  
Vol 41 (12) ◽  
pp. 3477-3489
Author(s):  
Hong-Liang Gao ◽  
Xi-Sheng Zhan ◽  
Yi-Ran Yuan ◽  
Zi-Jie Pan ◽  
Guo-Long Yuan
Keyword(s):  
Power Systems ◽  
Power System ◽  
Control Strategy ◽  
Pid Controller ◽  
Fuzzy Inference ◽  
Low Frequency ◽  
Power System Stability ◽  
System Stability ◽  
Low Frequency Oscillations ◽  
System Stabilizer

Several methods have been proposed and implemented to improve the power system stability. Based on the theory of proportional-integral-derivative (PID) excitation control and the composition principle of fuzzy PID controller, a novel PID controller based on Mamdani fuzzy inference (MFPID) is proposed in this paper. The proposed controller realizes the self-adjustment of the excitation controller parameter. Furthermore, the MFPID and power system stabilizer (PSS) subsection switch control strategy (MFPID-PSS) is presented based on the advantages of PSS and MFPID. In MFPID-PSS strategy, by switching the control strategy between MFPID and PSS at appropriate moment, the MFPID-PSS method acquires the overshoot as small as PSS, and at the same time acquires the adjusting time as short as MFPID. The simulation results demonstrate that the MFPID-PSS method improves the power system stability and has better mitigation effect for low frequency oscillations in power systems after disturbances.

scholarly journals Analysis of Synchronous Generators’ Local Mode Eigenvalues in Modern Power Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 195
Author(s):  
Jožef Ritonja ◽  
Boštjan Polajžer
Keyword(s):  
Power Systems ◽  
Power System ◽  
Transmission Lines ◽  
Negative Impact ◽  
Synchronous Generator ◽  
Operating Conditions ◽  
Local Mode ◽  
Synchronous Generators ◽  
Systematic Analysis ◽  
Local Modes

New energy sources, storage facilities, power electronics devices, advanced and complex control concepts, economic operating doctrines, and cost-optimized construction and production of machines and equipment in power systems adversely affect small-signal stability associated with local oscillations. The objective of the article is to analyze local oscillations and the causes that affect them in order to reduce their negative impact. There are no recognized analyses of the oscillations of modern operating synchronous generators exposed to new conditions in power systems. The basic idea is to perform a numerical analysis of local oscillations of a large number of synchronous generators in the power system. The paper represents the local mode data obtained from a systematic analysis of synchronous generators in the Slovenian power system. Analyzed were 74 synchronous generators of the Slovenian power system, plus many additional synchronous generators for which data were accessible in references. The mathematical models convenient for the study of local oscillations are described first in the paper. Next, the influences of transmission lines, size of the synchronous generators, operating conditions, and control systems were investigated. The paper’s merit is the applicable rules that have been defined to help power plant operators avoid stability-problematic situations. Consequently, boundaries were estimated of the eigenvalues of local modes. Finally, experiments were performed with a laboratory-size synchronous generator to assess the regularity of the numerically obtained conclusions. The obtained results enable the prediction of local oscillations’ frequencies and dampings and will be useful in PSS planning.

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
Sign in / Sign up

Export Citation Format

Share Document