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.

Design of a Wide-Area Damping Controller Based on Fuzzy Control

2014 ◽  
Vol 960-961 ◽  
pp. 960-963
Author(s):  
Lin Sun ◽  
Wei Cai ◽  
Tian Ran Li ◽  
Hua Ren Wu
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Power Systems ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Low Frequency ◽  
Wide Area ◽  
Interconnected Power System ◽  
Wide Area Damping Controller ◽  
Damping Controller

A method is proposed to design a wide-area damping controller (WADC) based on fuzzy control to dampen the low-frequency oscillations of interconnected power systems. First, the inputs and expected outputs of a fuzzy logic controller are analyzed. Then, a universe of fuzzy sets, membership functions and fuzzy rules are determined based on the relationship between inputs and outputs, and the fuzzy logic controller is constituted. The WADC consists of a fuzzy logic controller and a gain. The gain is obtained using particle swarm optimization. A four-machine two-area power system is simulated using the Matlab/Simulink software to test the performance of the fuzzy-based WADC. The simulation results indicate that the designed controller can compensate for communication delay and improve interconnected power system damping.

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.

scholarly journals Stability Improvement of DFIG-Based Wind Farm Integrated Power System Using ANFIS Controlled STATCOM

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4707
Author(s):  
Varun Kumar ◽  
Ajay Shekhar Pandey ◽  
Sunil Kumar Sinha
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Farm ◽  
Fuzzy Logic Controller ◽  
Stability Control ◽  
Frequency Domain Method ◽  
Damping Properties ◽  
Inference System ◽  
The Stability ◽  
Damping Controller

The stability of the control grid is a critical prerequisite for a safe and efficient power system service. A thorough knowledge of the effects of the power system volatility is essential for the effective study and control of power systems. This paper presents the simulation outcome of a multimachine power network implemented by a wind farm (WF) utilizing a static synchronous compensator (STATCOM) for better stability control objectives. A similarly aggregated double-fed induction generator (DFIG) powered by a gearbox analogy with an equally aggregated wind turbine (WT) determines the operating output of the wind farm. A proportional–integral–derivative controller (PID)-based damping controller, PID including Fuzzy Logic Controller (FLC), and an adaptive network-based fuzzy inference system (ANFIS) controller of the proposed SATCOM are intended to add sufficient damping properties to the dominating modes of the examined system during diverse working circumstances. To assess the feasibility of the suggested control schemes, a frequency-domain method concentrated on a linearized mathematical structure layout utilizing a time-domain strategy centered on a nonlinear configuration of the device that is subjected to severe fault on the attached bus was carried out consistently. A STATCOM damping controller is configured using the ANFIS method to apply appropriate damping properties to the device’s decisive modes being evaluated under various test conditions. From the findings of the comparative simulation, it can be inferred that the suggested STATCOM along with the planned ANFIS is seen as comparable to STATCOM with PID and STATCOM with PID plus FLC to increase the stability of the studied device.

scholarly journals A Novel Fuzzy Logic Based Load Frequency Control for Multi-Area Interconnected Power Systems

2021 ◽  
Vol 11 (4) ◽  
pp. 7522-7529
Author(s):  
D. V. Doan ◽  
K. Nguyen ◽  
Q. V. Thai
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
Interconnected Power System ◽  
Load Frequency ◽  
Interconnected Power Systems

This study focuses on designing an effective intelligent control method to stabilize the net frequency against load variations in multi-control-area interconnected power systems. Conventional controllers (e.g. Integral, PI, and PID) achieve only poor control performance with high overshoots and long settling times. They could be replaced with intelligent regulators that can update controller parameters for better control quality. The control strategy is based on fuzzy logic, which is one of the most effective intelligent strategies and can be a perfect substitute for such conventional controllers when dealing with network frequency stability problems. This paper proposes a kind of fuzzy logic controller based on the PID principle with a 49-rule set suitable to completely solve the problem of load frequency control in a two-area thermal power system. Such a novel PID-like fuzzy logic controller with modified scaling factors can be applied in various practical scenarios of an interconnected power system, namely varying load change conditions, changing system parameters in the range of ±50%, and considering Governor Dead-Band (GDB) along with Generation Rate Constraint (GRC) nonlinearities and time delay. Through the simulation results implemented in Matlab/Simulink software, this study demonstrates the effectiveness and feasibility of the proposed fuzzy logic controller over several counterparts in dealing with the load-frequency control of a practical interconnected power system considering the aforesaid conditions.

scholarly journals Type-2 Fuzzy Logic Controller Based PSS for Large Scale Power Systems Stability

2018 ◽  
Vol 8 (5) ◽  
pp. 3380-3386 ◽  
Author(s):  
O. Kahouli ◽  
B. Ashammari ◽  
K. Sebaa ◽  
M. Djebali ◽  
H. H. Abdallah
Keyword(s):  
New York ◽  
Fuzzy Logic ◽  
Power Systems ◽  
Power System ◽  
New England ◽  
Large Scale ◽  
Fuzzy Logic Controller ◽  
Interconnected Power System ◽  
Interval Type

In this paper, the application of the fuzzy logic based power systems stabilizer (FLPSS) to damp power system oscillation is presented. Various types of fuzzy logic controller are used to replace the conventional power system stabilizer (CPSS). The classic fuzzy logic controller based PSS (FLCPSS), the polar FLC (PFLCPSS) and the interval type-2 fuzzy logic controller based PSS (IT2FLCPSS) are applied to the New England - New York interconnected power system and the obtained results are compared. For coordination purposes, genetic algorithm (GA) is used to tune the FLCPSS’s gains. The non-linear simulation in the presence of noise confirms the robustness and the superiority of the IT2FLCPSS.

scholarly journals Implementation of Power System Stabilizer Based on Conventional and Fuzzy Logic Controllers

2018 ◽  
Vol 24 (3) ◽  
pp. 97 ◽  
Author(s):  
Hanan Mikhael Habbi ◽  
Ahmed Alhamadani
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Low Frequency ◽  
Power System Stabilizer ◽  
Local Mode ◽  
Electrical Power System ◽  
Low Frequencies ◽  
Low Frequency Oscillations ◽  
System Stabilizer

To damp the low-frequency oscillations which occurred due to the disturbances in the electrical power system, the generators are equipped with Power System Stabilizer (PSS) that provide supplementary feedback stabilizing signals. The low-frequency oscillations in power system are classified as local mode oscillations, intra-area mode oscillation, and interarea mode oscillations. A suitable PSS model was selected considering the low frequencies oscillation in the inter-area mode based on conventional PSS and Fuzzy Logic Controller. Two types of (FIS) Mamdani and suggeno were considered in this paper. The software of the methods was executed using MATLAB R2015a package.    

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