scholarly journals AGC of multi area power system based PSO under deregulated conditions

2018 ◽  
Vol 7 (3) ◽  
pp. 1446
Author(s):  
Ahmed Jasim Sultan ◽  
Falah Noori Saeed
Keyword(s):  
Power Flow ◽  
Optimization Technique ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
System Response ◽  
Area Control Error ◽  
Particle Swarm Optimization Technique ◽  
Power Flow Controller ◽  
Generation Control ◽  
Tie Line

In This research PIDF (Proportional Integral Derivative with Filter) is suggested to control the ACE (area control error) signal of automatic generation control circuit (AGC) for two-area multi units system under deregulated conditions, each area consist of two thermal reheat units with physical GRC (generating rate constrain). The parameters of the PIDF controller are tuned using PSO (particle swarm optimization) technique. To improve the system performance, Redox Flow Batteries (RFB) is presented in one area and one of FACTS components IPFC (Inter Line Power Flow Controller) is installed in tie line. The performance of the proposed controller is assessed under different working conditions of deregulated power market. Finally, a comparison will be made on the system response when testing with varying the load conditions and system parameter through MATLAB environment 2015Rb.  

scholarly journals Meta-Heuristic Algorithm Optimized Fuzzy PID Controlled AGC of Three Area Power System

2019 ◽  
Vol 9 (2) ◽  
pp. 2493-2499
Keyword(s):  
Control Mechanism ◽  
Automatic Generation ◽  
Control Area ◽  
Automatic Generation Control ◽  
Primary Control ◽  
Fuzzy Pid ◽  
Control Error ◽  
Area Control Error ◽  
Generation Control ◽  
Tie Line

The problem of automatic generation control (AGC) is a major concern in power utilities; it plays a major role of the complicated structure and dimension of the multi-area systems. Automatic Generation Control's main intention in the multi-area system is to maintain the frequency of each control area and remain the tie-line power flows within the many defined tolerance limits by modifying the Automatic Generation Control generators’ actual power outputs to accommodate the changing load requirements. Frequency control is accomplished through the primary control mechanism or the governor control mechanism. But the Area Control Error (ACE) always present in the system. The secondary controllers are surmounting this ACE to zero. The design tunes the controllers to enhance the better dynamic performance and stability of these eccentric conditions. The goal of this work is to diminish area control error, settle time, under-shoots and over-shoots of frequency divergence and net interchange tie-line error. Generally the gain values of the PID Control parameters obtain by tribulation and error technique and it need additional computation time. To reduce this obscurity of tuning of PID gains Evolutionary algorithm approach can be habituated to optimize the PID gains. Fuzzy – PID have been employed with different objective to enhance the efficient optimal solutions to the three area system. In this proposed study, GWO technique used to maximize Fuzzy-based PID controller's Proportional, Integral and Derivative gains in Three Area System.

scholarly journals GA Technique to Solve the AGC Problem of Thermal Generating Unit

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Power Flow ◽  
Large Scale ◽  
Automatic Generation ◽  
The Other ◽  
Normal Operation ◽  
Automatic Generation Control ◽  
Stable Operation ◽  
New Approach ◽  
Generation Control ◽  
Tie Line

In a large-scale power system, Automatic Generation Control (AGC) is responsible to area load changes and abnormal imprecise system operating parameters essentially means very fast minimization of area frequency deviations and mutual tie line power flow deviations of the areas for satisfactory and stable operation of the system. Some technique gives the good results in normal operation but in abnormal condition, it take large time to settle down the load disturbance, which is harmful for the system. New approach (Genetic Algorithm (GA) Technique) provides better control performance over frequency deviations and tie line power flow deviations due to a normal and abnormal operating condition of sudden load changes. In this paper six area model of thermal generating units has been developed and simulated in MATLAB Simulink software. Response of the developed model has been obtained by GA technique and compared with the other technique like; fuzzy, PID. Tabulated result shows that the GA technique give the better performance over the other technique due to settle down the frequency and tie line power flow deviations in less time and maintain the system constancy.

Sign in / Sign up

Export Citation Format

Share Document