Effect of Prime-Mover Speed Governor Characteristics on Power-System Frequency Variations and Tie-Line Power Swings

1941 ◽  
Vol 60 (6) ◽  
pp. 559-567 ◽  
Author(s):  
C. Concordia ◽  
S. B. Crary ◽  
E. E. Parker
Keyword(s):  
Power System ◽  
Prime Mover ◽  
Speed Governor ◽  
Power Swings ◽  
System Frequency ◽  
Frequency Variations ◽  
Tie Line

Load Frequency Control in Power System via Improving PID Controller Based on Particle Swarm Optimization and ANFIS Techniques

2015 ◽  
pp. 462-481 ◽  
Author(s):  
Naglaa K. Bahgaat ◽  
M. I. El-Sayed ◽  
M. A. Moustafa Hassan ◽  
F. A. Bendary
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Pid Controller ◽  
Frequency Control ◽  
Particle Swarm ◽  
Load Frequency Control ◽  
Swarm Optimization ◽  
Load Frequency ◽  
System Frequency ◽  
Tie Line

The main objective of Load Frequency Control (LFC) is to regulate the power output of the electric generator within an area in response to changes in system frequency and tie-line loading. Thus the LFC helps in maintaining the scheduled system frequency and tie-line power interchange with the other areas within the prescribed limits. Most LFCs are primarily composed of an integral controller. The integrator gain is set to a level that compromises between fast transient recovery and low overshoot in the dynamic response of the overall system. This type of controller is slow and does not allow the controller designer to take into account possible changes in operating conditions and non-linearities in the generator unit. Moreover, it lacks robustness. This paper studies LFC in two areas power system using PID controller. In this paper, PID parameters are tuned using different tuning techniques. The overshoots and settling times with the proposed controllers are better than the outputs of the conventional PID controllers. This paper uses MATLAB/SIMULINK software. Simulations are done by using the same PID parameters for the two different areas because it gives a better performance for the system frequency response than the case of using two different sets of PID parameters for the two areas. The used methods in this paper are: a) Particle Swarm Optimization, b) Adaptive Weight Particle Swarm Optimization, c) Adaptive Acceleration Coefficients based PSO (AACPSO) and d) Adaptive Neuro Fuzzy Inference System (ANFIS). The comparison has been carried out for these different controllers for two areas power system. Therefore, the article presents advanced techniques for Load Frequency Control. These proposed techniques are based on Artificial Intelligence. It gives promising results.

Load Frequency Control in Power System via Improving PID Controller Based on Particle Swarm Optimization and ANFIS Techniques

2014 ◽  
Vol 3 (3) ◽  
pp. 1-24 ◽  
Author(s):  
Naglaa K. Bahgaat ◽  
M. I. El-Sayed ◽  
M. A. Moustafa Hassan ◽  
F. A. Bendary
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Pid Controller ◽  
Frequency Control ◽  
Particle Swarm ◽  
Load Frequency Control ◽  
Swarm Optimization ◽  
Load Frequency ◽  
System Frequency ◽  
Tie Line

The main objective of Load Frequency Control (LFC) is to regulate the power output of the electric generator within an area in response to changes in system frequency and tie-line loading. Thus the LFC helps in maintaining the scheduled system frequency and tie-line power interchange with the other areas within the prescribed limits. Most LFCs are primarily composed of an integral controller. The integrator gain is set to a level that compromises between fast transient recovery and low overshoot in the dynamic response of the overall system. This type of controller is slow and does not allow the controller designer to take into account possible changes in operating conditions and non-linearities in the generator unit. Moreover, it lacks robustness. This paper studies LFC in two areas power system using PID controller. In this paper, PID parameters are tuned using different tuning techniques. The overshoots and settling times with the proposed controllers are better than the outputs of the conventional PID controllers. This paper uses MATLAB/SIMULINK software. Simulations are done by using the same PID parameters for the two different areas because it gives a better performance for the system frequency response than the case of using two different sets of PID parameters for the two areas. The used methods in this paper are: a) Particle Swarm Optimization, b) Adaptive Weight Particle Swarm Optimization, c) Adaptive Acceleration Coefficients based PSO (AACPSO) and d) Adaptive Neuro Fuzzy Inference System (ANFIS). The comparison has been carried out for these different controllers for two areas power system. Therefore, the article presents advanced techniques for Load Frequency Control. These proposed techniques are based on Artificial Intelligence. It gives promising results.

scholarly journals A Comparative Study on Load-Frequency Controllers of a Five-Area Interconnected Power System

2019 ◽  
pp. 1019-1025
Author(s):  
Dao Thi Mai Phuong
Keyword(s):  
Power System ◽  
Comparative Study ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Power Grids ◽  
Interconnected Power System ◽  
Load Frequency ◽  
Interconnected Power Grids ◽  
System Frequency ◽  
Tie Line

The crucial objectives of load-frequency control (LFC) to a multi-area interconnected power system are to maintain the system frequency at a nominal value (50 Hz or 60 Hz) and the tie-line power flows at predetermined values. Based on tie-line bias control strategy, conventional regulators, such as I, PI and PID, were initially used for solving the LFC problem. Due to the complexity, nonlinearity and uncertainty of a multi-area power system in practice, the conventional regulators may not obtain the control performances good enough to bring the network back to the steady state as soon as possible. Meanwhile, intelligent controllers, such as fuzzy logic (FL)-based controllers, are able to completely replace these conventional counterparts. The superiority of the FL-based LFC controllers over the conventional ones for a typical case study of five-area interconnected power grids is validated in this paper through numerical simulations implemented in Matlab/Simulink package. It should be apparent from this comparative study that the LFC controller based on FL technique is a feasible selection in dealing with the LFC problem of a multi-area power network.

Effect of Steam-Turbine Reheat on Speed-Governor Performance

1959 ◽  
Vol 81 (2) ◽  
pp. 201-205 ◽  
Author(s):  
Charles Concordia
Keyword(s):  
Electric Power ◽  
Steam Turbine ◽  
Frequency Stability ◽  
Analog Computer ◽  
Electric Power System ◽  
Maximum Frequency ◽  
Speed Governor ◽  
Power Oscillations ◽  
Frequency Variations ◽  
Tie Line

This paper shows the effect on the frequency stability and response of an electric power system of the use of steam-turbine reheat. It is shown that in general reheat tends to decrease the damping of the frequency variations of the system as a whole, to increase the damping of tie-line power oscillations, and to increase the maximum frequency deviation occasioned by an abrupt load change. The system responses were determined by means of an analog computer.

AGC System after Deregulation Considering TCPS in Series with the Tie-Line

2015 ◽  
Vol 16 (3) ◽  
pp. 281-295 ◽  
Author(s):  
Rajesh Joseph Abraham ◽  
D. Das ◽  
A. Patra
Keyword(s):  
Power System ◽  
Phase Shifter ◽  
Automatic Generation ◽  
Ancillary Service ◽  
System Effect ◽  
Interconnected Power System ◽  
Power Oscillations ◽  
In Series ◽  
System Frequency ◽  
Tie Line

Abstract This paper presents the study of automatic generation control (AGC) of two area interconnected power system after deregulation, considering a thyristor controlled phase shifter (TCPS) in series with the tie-line. It is possible to minimize the system frequency and tie-power oscillations by controlling the phase angle of TCPS which is expected to provide a new ancillary service for the future power system. Effect of TCPS is examined for three different cases, i.e. (1) unilateral contract, (2) bilateral contract and (3) contract violation. Analysis reveals that a TCPS is quite capable of suppressing the frequency and tie-power oscillations effectively as compared to that obtained without TCPS.

Research on the Modeling of Hydraulic Turbine Governing System

2014 ◽  
Vol 1037 ◽  
pp. 253-257
Author(s):  
Hong Xia Wu ◽  
Li Li Wan
Keyword(s):  
Control System ◽  
Power System ◽  
Power System Stability ◽  
Hydraulic Turbine ◽  
System Stability ◽  
Prime Mover ◽  
Stability Calculation ◽  
Long Term Stability ◽  
Speed Governor ◽  
Calculation Results

The turbine prime mover and its control system have a significant impact on the dynamic stability and long-term stability of power system. On calculation of power system stability, the calculation results have great difference when using different model and parameters of prime mover and its speed governor control system. We can choose the mathematical models and parameters which can reflect the actual running status of equipment in order to make the calculation result is true and reliable. This paper takes a hydropower station as an example, determines the mathematical model and the parameter which can be used for power system stability calculation through the adoption of modeling, parameter identification and testing methods to its prime mover, excitation system and governor system.

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