Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer

Excitation systems are affected by low frequency oscillation (LFO)when they are subjected to small perturbations.Damping during the LFOis enhanced via the addition of power system stabilizer (PSS) to the excitation system.This research entails a study on fuzzy logic controller power system stabilizer (FLCPSS) for the purpose of enhancing the stability of a single machine power system.In order to accomplish the stability enhancement,two approaches were used to design fuzzy logic controller (FLC).The first approach includes the use ofgenetic algorithm (GA) to design the PSS.The second approach entails the use of particle swarm optimization (PSO) to design the PSS.The performance of these two approaches is compared with the systemand without PSS.The stabilizing signals were computed using the fuzzy membership functions depending on these variables.The simulations were tested under different operating conditions and also tested with different membership functions.The simulation is implemented using Matlab /Simulink and the results have been found to be quite good and satisfactory.Electro-mechanical oscillations were created in the event of trouble or when there was high power transfer through weak tie-line in the machines of an interrelated power network.This research presents an analysis on the change of speed (Δω), change of angle position (Δδ) and tie-line power flow (Δp).FLC which includes two areas of symmetrical systems are connected via tie-line to identify the performance of the controllers.Simulation results of the fuzzy logic based controller indicate dual inputs of rotor speed deviation and generator’s accelerating power.Two generators have been used to control the arrangement in the tie-line system.The single fuzzy logic controller (S-FLC) has been used as a primary controller and the double fuzzy logic controller(D-FLC) has been used as a secondary controller.Additionally,the system shows a comparison between the two controllers,namely the S-FLC and D-FLC which have been used to achieve the best results.Notably, the double fuzzy controller has been found to have a greater effect on the multi-machine system and it is smoother than the single fuzzy controller as it increased the damping of the speed Δω and rotorangle (degree) Δδ. Its simplicity has made it to be a good controller.In conclusion,much better response can be attained from the S-FLC) if there is careful timing of the scaling factors

Effect Of Double Fuzzy Logic Controller (DFLC) Based On Power System Stabilizer (PSS) On A Tie- Line Two Generators System

This research was proposed a new type of power system stabilizer based on fuzzy set theory, to improve the dynamic performance of a multi-machine power system. To have good damping characteristics over a wide range of operating conditions, speed deviation and it is derivative of a machine are chosen as the input signals to the fuzzy stabilizer on that particular machine. Fuzzy logic controller (FLC) Two area symmetrical systems connected via tie-line are measured to show via performance of these controllers. This research presents the analysis of change of speed (Δω), change of angle position (Δδ) and tie - line power flow (Δp). In tie-line system two generators control arrangement single fuzzy logic controller (SFLC) have been used as a primary controller, whereas double fuzzy logic controller (DFLC) used as a secondary controller. In addition to this, the system shows comparative between two controller single and double fuzzy controller has been used for the system to achieve the best results using Simulink/MATLAB. Double fuzzy controller has a greater effect on the tie-line system and become more smoothing than single fuzzy controller because has increased the damping of the speed Δω, angle rotor Δδ and power Δp

Comparative Studies Of Fuzzy Logic Base Power System Stabilizers In Enhancing Dynamic Stability Of A Generator Connected To Infinite Bus

Power system stabilizers (PSS) are added to excitation system to enhance the damping during low frequency oscillations. This paper presents a study of fuzzy logic power system stabilizer for stability enhancement of a single machine connected to infinite bus (SMIB) power system. Recently fuzzy logic as a novel robust control design method has shown promising results. The emphasis in fuzzy control design center is around uncertainties in the system parameters and operating conditions. Fuzzy logic controller (FLC) has been suggested as a possible solution to overcome this problem, thereby using linguist information and avoiding a complex system mathematical model, while giving good performance under different operating conditions. The proposed approach is found to have stable convergence characteristics and resulted in good voltage regulation and damping characteristics. The stabilizing signals were computed using the fuzzy membership functions with variations of angular speed and acceleration as the inputs. The simulations were tested under different operating conditions, with different membership functions using MATLAB /SIMULINK. The simulation results are quite encouraging and satisfactory

Stability Studies Of Fuzzy Logic Based Power System Stabilizer In Enhancing Dynamic Stability Of A Two Generators Tie-Line System

Electro-mechanical oscillations are created, in the machines of an interrelated power network, followed by a trouble or due to high power transfer through weak tie lines. These oscillations should be damped as quickly as possible to guarantee the reliable and stable operation of the network. This research presents the analysis of change of speed, change of angle position and tie - line power flow, fuzzy logic controller (FLC) two area symmetrical systems connected via tieline are measured to show via performance of these controllers using Simulink/MATLAB. Simulation results described by fuzzy logic based controller having dual inputs of rotor speed deviation and generator’s accelerating power there shown better solutions for damping the inter area (tie-line) oscillations