A novel approach to improve automatic generation control of a two-area power system considering frequency bias factor

2016 ◽  
Author(s):  
Ehsan Kazemi Robati ◽  
Mojtaba Shivaie ◽  
Mohammad T. Ameli
Keyword(s):  
Power System ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Novel Approach ◽  
Bias Factor ◽  
Generation Control

scholarly journals AUTOMATIC GENERATION CONTROL OF A MULTI-AREA POWER SYSTEM BASED ON GREY WOLF OPTIMIZATION ALGORITHM

2021 ◽  
Vol 25 (Special) ◽  
pp. 1-138-1-151
Author(s):  
Hussein H. Jaber ◽  
◽  
Abbas H. Miry ◽  
Kassim Al-Anbarri ◽  
◽  
...  
Keyword(s):  
Power System ◽  
Objective Function ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Control Parameters ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Factor B ◽  
Bias Factor ◽  
Generation Control

This paper presents an automatic generation control algorithm applicable for a multi-area power system. A more practical models is used to represent the main components of the power system. The frequency bias factor (B) is set optimally by using an artificial intelligence technique. The generation rate constraints (GRC) are taken into consideration with dead band characteristics of the governor. For the first time, a sequential optimization of the fractional order (PID) control parameters, the governor speed regulation (R) and the frequency bias factor (B) is proposed. The objective function to be minimized is the updated integral time absolute error (UITAE). The tuning of the control parameters is dependent on minimizing the objective function by using the Grey wolf optimization (GWO) algorithm. The proposed algorithm is tested on an interconnected three power pools different system (Reheat, Gas and Hydro) with varying degrees of load step change. The simulation results of the presented process are compared to those achieved by using the particle swarm optimization method. The results obtained reveal the robustness of the proposed algorithm in terms of settling time and peak overshoot.

scholarly journals On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach

2018 ◽  
Vol 8 (10) ◽  
pp. 1848 ◽  
Author(s):  
Arman Oshnoei ◽  
Rahmat Khezri ◽  
SM Muyeen ◽  
Frede Blaabjerg
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Frequency Control ◽  
Wind Farms ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Automatic Generation Control ◽  
Frequency Regulation ◽  
Proportional Integral ◽  
Generation Control

Wind farms can contribute to ancillary services to the power system, by advancing and adopting new control techniques in existing, and also in new, wind turbine generator systems. One of the most important aspects of ancillary service related to wind farms is frequency regulation, which is partitioned into inertial response, primary control, and supplementary control or automatic generation control (AGC). The contribution of wind farms for the first two is well addressed in literature; however, the AGC and its associated controls require more attention. In this paper, in the first step, the contribution of wind farms in supplementary/load frequency control of AGC is overviewed. As second step, a fractional order proportional-integral-differential (FOPID) controller is proposed to control the governor speed of wind turbine to contribute to the AGC. The performance of FOPID controller is compared with classic proportional-integral-differential (PID) controller, to demonstrate the efficacy of the proposed control method in the frequency regulation of a two-area power system. Furthermore, the effect of penetration level of wind farms on the load frequency control is analyzed.

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