Comparison of Input Signal Choices for a Fuzzy Logic-based Power System Stabilizer (original) (raw)

A new fuzzy logic power system stabilizer performances

IEEE PES Power Systems Conference and Exposition, 2004., 2004

This paper describes the performances of a new power system stabilizer, the Fuzzy Logic PSS (FLPSS). It is basically a PID (proportional-integral-derivative) type FLPSS with adjustable gains added outside in order to keep a simple structure. The FLPSS uses the generator speed deviation as primary input from which the accelerating power is derived as a secondary input. In order to validate the FLPSS, it has been compared with two reference stabilizers, the IEEE PSS4B and IEEE PSS2B from the IEEE Std 421.5. Conclusions are supported by a range of small and large signal analyses, performed on a four machine two areas test system (with two configurations).

Fuzzy Logic Control Application to Enhance Voltage Stability of the Electric Power Systems

2009 15th International Conference on Intelligent System Applications to Power Systems, 2009

This paper develops an integrated strategy for maintaining voltage stability for online applications. The proposed strategy employs real time data in the computation of a voltage stability index for voltage stability monitoring and control. The index chosen allows for the fast evaluation of the voltage stability margin for real-time assessment. A fast control operation based on fuzzy logic control is used to determine the VAr compensation required for the mitigation of occurrences of voltage instability. Index Terms-voltage stability, Voltage stability index, fuzzy logic control I. INTRODUCTION oltage stability is of major concern in modern power systems, which are steadily approaching the operating limits imposed by economic and environmental constraints. The expansion of the conventional power system allows for incidences where unexpected contingencies to go unconsidered, particularly due to the interties in power systems. It is, therefore, difficult to predefine all the outages and complexities and control counterparts. Stability, security and efficiency are of utmost importance in planning and operating the power systems [1]. In response to a disturbance, power consumed by the loads tends to be restored, and this correspondingly increases the stress on the high voltage network by increasing the power consumption beyond the capacity of the transmission network for power transfer and voltage support and usually lead to the most common form of voltage instability, the progressive drop of bus voltages [2]. The voltage drop of some buses may lead to voltage collapse or blackout in the end. The ability to rapidly monitor and be adaptive to system changes for restoring an equilibrium point in between generation and load balance is the goal of voltage stability assessment and control [3, 4]. Fast online assessment and control implementations, involving Phasor Measurement Units (PMUs) have been utilized in recent works [14-21]. Real-time measurements via PMUs provide a fast and accurate way to track the load dynamics in addition to the current monitoring devices. The on-line application not only requires a fast detection ability but

An adaptive fuzzy logic power system stabilizer

Electric Power Systems Research, 1996

The paper presents an adaptive fuzzy logic power system stabilizer (PSS) design for damping oscillatory electromechamcal modes of oscillations and enhnncing the first-swing synchronous stability margins. The novel design utilizes a multivariable damping signal vector consisting of machine speed deviation, rate of speed deviation, and voltage deviation. The design is based on a multizonal PlD structure and fuzzy logic variable-gain scheduling to optimize the dampin, a action. The fuzzy logic PSS is proposed for use in parallel with the conventional analog type PSS with added simple switching criteria. The two PSS blocks can be allowed independent, sequential, and/or combined operation with different effective stabilizing weighting. The paper investigates an individual conventional PSS. a rule based fuzzy PSS, and hybrid operation. The parallel operation of a conventional PSS and a fuzzy logic one provides optimal sharing of the damping action under small-as well as large-scale generation-load mismatch or variations in external network topology due to fault or switching conditions.

Hardware implementation of a fuzzy logic stabilizer on a laboratory scale power system

Electric Power Systems Research, 2005

A power system stabilizer using the fuzzy logic is designed and implemented in this paper. Simulation studies are performed to evaluate the performance of the fuzzy logic power system stabilizer (FLPSS) and PID power system stabilizer (PIDPSS). Genetic algorithms have been used to optimize the parameters of the fuzzy and PID stabilizers. To validate the design, different types of disturbances are applied to the system and the results of both stabilizers are compared. The simulation studies show that the fuzzy stabilizer provides a relatively better performance comparable to that of the PIDPSS over a wide range of operating conditions. The FLPSS and PIDPSS have also been experimentally implemented using MATLAB/Real-Time Windows Target toolbox software on a laboratory set up to model a simple power system of 1 KVA machine connected to an infinite bus through a transmission line. Experimental tests and results revealed the effectiveness of FLPSS, especially in vulnerable operating points.

Enhancement Of Power System Stability Using Fuzzy Logic Based Power System Stabilizer

2012

Electromechanical oscillations in a power system often exhibit poor damping when the power transfer over a corridor is high relative to the transmission strength. Traditional approaches to aid the damping of power system oscillations include the use of Power System Stabilizers (PSS). Power system stabilizers are used to generate supplementary control signals for the excitation system in order to damp out the low frequency power system oscillations. This paper describes the design procedure for a fuzzy logic based PSS (FLPSS). Speed Deviation of a synchronous machine and its derivative are chosen as the input signals to the FLPSS. The inference mechanism of the fuzzy logic controller is represented by 49 ifthen rules. The proposed technique has the features of a simple structure, adaptivity and fast response and is evaluated on a Single machine and Multi machine Power system under different operating conditions to demonstrate its effectiveness and robustness. Keywords— Power system o...

Design and analysis of an adaptive fuzzy power system stabilizer

IEEE Transactions on Energy Conversion, 1996

Power system stabilizers (PSS) must be capable of providing appropriate stabilization signals over a broad range of operating conditions and disturbances. Traditional PSS rely on robust linear design methods. In an attempt to cover a wider range of operating conditions, expert or rule-based controllers have also been proposed. Recently, fuzzy logic as a novel robust control design method has shown promising results. The emphasis in fizzy control design centers around uncertainties in system parameters and operating conditions. Such an emphasis is of particular relevance as the difficulty of accurately modelling the connected generation is expected to increase under power industry deregulation. Fuzzy logic controllers are based on empirical control rules. In this paper, a systematic approach to fuzzy logic control design is proposed. Implementation for a specific machine reqtures specification of performance criteria. This performance criteria translates into three controller parameters which can be calculated off-line or computed in real-time in response to system changes. The robustness of the controller is emphasized. Small signal and transient analysis methods are discussed. This work is directed at developing robust stabilizer design and analysis methods appropriate when fuzzy logic is applied.

Design of augmented fuzzy logic power system stabilizers to enhance power systems stability

IEEE Transactions on Energy Conversion, 1996

This paper presents an augmented fuzzy logic power system stabilizer (PSS) for stability enhancement of multimachine power systems. In order to accomplish a satisfactory damping characteristic over a wide range of operating points, speed deviation (Ao) and acceleration (Ab) of a synchronous generator were taken as the input signals to the fuzzy controller. It is well known that these variables have significant effects on damping the generators shaft mechanical oscillations. A modification of the terminal voltage feedback signal to the excitation system as a function of the accelerating power on the unit, is also used to enhance the stability of the system. The stabilizing signals are computed using the standard fuzzy membership function depending on these variables. The performance of the proposed augmented fuzzy controller is compared to an optimal controller and its effectiveness is demonstrated by a detailed digital computer simulation of a single machine infinite bus and a multimachine power systems.

Enhancement of Power System Stability Using Fuzzy Logic Controller

This Dissertation includes work on the development of a fuzzy logic power system stabilizer to enhance the damping of generator oscillations, in order to accomplish a stability enhancement. Speed deviation (Am) and acceleration (Aw) of the rotor synchronous generator were taken as the input to the fuzzy logic controller. These variables take significant effects on damping the generator shaft mechanical oscillations. The stabilizing signals were computed using the fuzzy membership function depending on these variables. The performance of the fuzzy logic power system stabilizer was compared with the conventional power system stabilizer and without power system stabilizer. To achieve good damping characteristics over a wide range of operating conditions, speed deviation and acceleration of a synchronous machine are chosen as the input. Signal to the stabilizers. The stabilizing signal is determined from certain rules for rule-based power system stabilizer. For fuzzy logic based power system stabilizer, the supplementary stabilizing signal is determined according to the fuzzy membership function depending on the speed and acceleration states of the generator. The simulation result shows that the proposed fuzzy logic based power system stabilizer is superior to rule-based stabilizer due to its lower computation burden and robust performance.

Modelling and simulation of power system stabilizer using fuzzy logic

This dissertation work is mainly emphasized on Power system stabilizer which enhances the power system stability. Conventional PSS gives satisfactory operation at specific operating condition for what they designed. If operating condition change, PSS not perform well as before. Fuzzy logic is one Artificial intelligence technique that will be improving the work of PSS in different operating conditions. Initially the thesis gives the detail of power system condition, synchronous generator, AVR, PSS. It will give the basic information of fuzzy logic controller. Detail design of fuzzy logic based PSS will be done. Finally, it will compare the results of FPSS with CPSS in MATLAB SIMULATION.

IJERT-Design and Analysis of Fuzzy Logic based Power System Stabilizer

International Journal of Engineering Research and Technology (IJERT), 2020

https://www.ijert.org/design-and-analysis-of-fuzzy-logic-based-power-system-stabilizer https://www.ijert.org/research/design-and-analysis-of-fuzzy-logic-based-power-system-stabilizer-IJERTV9IS080181.pdf This paper presents a new fuzzy logic controller as power system stabilizer being used for stability enhancement and improving the dynamic response of the power system under faulty conditions. Power system stabilizer is added to the generator excitation system to enhance the damping during low frequency oscillations. In order to improve the stability of the power system, acceleration and rotor speed deviation of the synchronous machine are taken as input of fuzzy logic controller. These variables produce an effect on controlling the damping of generator mechanical shaft. In this paper proposed control power system stabilizer is being compared with the conventional power system stabilizer and multi brand power system stabilizer. Proposed control techniques are simulated over the IEEE 39 bus system under different conditions (with noise, without noise). Simulations of the control technique are carried out on MATLAB/SIMULINK tool.