A fuzzy logic decision maker and controller for reducing load frequency oscillations in multi-area power systems

2006 ◽  
Author(s):  
I.H. Altas ◽  
J. Neyens
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Decision Maker ◽  
Load Frequency

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 Design of PI Fuzzy Logic Gain Scheduling Load Frequency Control in Two-Area Power Systems

Designs ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 26 ◽  
Author(s):  
Tawfiq Hussein ◽  
Awad Shamekh
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Frequency Control ◽  
Gain Scheduling ◽  
Operating Conditions ◽  
Load Frequency Control ◽  
Control Technique ◽  
Load Frequency ◽  
Wide Range ◽  
Fuzzy Logic Technique

In this paper the use of the proportional integral (PI) algorithm incorporated with the fuzzy logic technique has been proposed as advanced gain scheduling load frequency control (GLFC) in two-area power systems. The proposed controller comprises two-level control systems, such that it consists of a pure integral compensator which is connected in parallel with a PI controller. However, and based on load demand, the PI parameters are updated online by means of fuzzy logic rules. With this control technique it becomes possible to eliminate steady state errors as well as to maintain good transient responses. The task of keeping a stable and overall satisfactory mode of operation in interconnected electric power systems is the main goal of any control strategy. This should be guaranteed over a wide range of operating conditions and particularly in sudden and drastic load changes. Therefore, the suggested approach has been examined following abnormal changes in loading conditions to clarify its reliability. The report also investigates the performance of the pure integral (I) controller and GLFC in individual configurations to highlight the advantages of the offered algorithm over the standard ones. The criterion of integral square error (ISE) has been exploited in the performance assessment for the designed controllers. Several simulation scenarios have been conducted, using the MATLAB–Simulink package, to illustrate the proficiency of the developed technique.

scholarly journals Novel Fuzzy-Based Self-Adaptive Single Neuron PID Load Frequency Controller for Power System

2019 ◽  
Vol 4 (1) ◽  
pp. 141-150
Author(s):  
M. Abdullah Eissa
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Power System ◽  
Single Neuron ◽  
Frequency Control ◽  
Industrial Applications ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Frequency Controller ◽  
Fuzzy Logic Technique

AbstractThis paper proposes a newly adaptive single-neuron proportional integral derivative (SNPID) controller that uses fuzzy logic as an adaptive system. The main problem of the classical controller is lacking the required robustness against disturbers, measurement noise in industrial applications. The new formula of the proposed controller helps in fixing this problem based on the fuzzy logic technique. In addition, the genetic algorithm (GA) is used to optimize parameters of the SNPID controller. Because of the high demands on the availability and efficiency of electrical power production, the design of robust load-frequency controller is becoming increasingly important due to its potential in increasing the reliability, maintainability and safety of power systems. So, the proposed controller has been applied for load-frequency control (LFC) of a single-area power system. The effectiveness of the proposed SNPID controller has been compared with the conventional controllers. The simulation results show that the proposed controller approach provides better damping of oscillations with a smaller settling time. This confirms its superiority against its counterparts. In addition, the results show the robustness of the proposed controller against the parametric variation of the system.

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