Improvement Of Load Frequency Control By Using Self–Tuning Controller

2012 ◽  
Author(s):  
M.R.I. Sheikh ◽  
M.S Anower ◽  
M. G. Rabbani
Keyword(s):  
Power System ◽  
Magnetic Energy ◽  
Frequency Control ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Superconducting Magnetic Energy Storage ◽  
Load Frequency ◽  
Self Tuning ◽  
Magnetic Energy Storage ◽  
Generation Control

Since a Superconducting Magnetic Energy Storage (SMES) unit with a self–commutated converter is capable of controlling both the active and reactive powers simultaneously and quickly, increasing attention has been focused recently on power system stabilization by SMES control. This paper presents a novel control method of SMES with a self-tuned Fuzzy Proportional Integral (FPI) controller associated with the Automatic Generation Control (AGC) for improving Load Frequency Control (LFC) in a single area power system. Boiler dynamics and nonlinearities such as governor dead band (DB) and generator rate constraints (GRC) are considered in the developed comprehensive mathematical model of a single area isolated power system. The effects of the self–tuning configuration of FPI controller in AGC on SMES control is compared with that of fixed gain PI controlled AGC. It is seen that with addition of FPI controller, SMES can perform a more effective primary frequency control for single area power system. Key words: Load frequency control; single area power system; automatic generation control; superconducting magnetic energy storage unit; fuzzy proportional integral controller

scholarly journals Robust Stabilizing Controllers to Automatic Generation Control for Load Frequency Control Application

2010 ◽  
Vol 2 (2) ◽  
pp. 285-293 ◽  
Author(s):  
M. R. I. Sheikh ◽  
R. Takahashi ◽  
J. Tamura
Keyword(s):  
Power System ◽  
Magnetic Energy ◽  
Control Strategies ◽  
Frequency Control ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Automatic Generation Control ◽  
Load Frequency ◽  
Self Tuning ◽  
Generation Control

Since superconducting magnetic energy storage (SMES) unit with a self-commutated converter is capable of controlling both the active and reactive powers simultaneously and quickly, increasing attention has been focused recently on power system stabilization by SMES control. This study presents the effects of novel control strategies of self-tuned fuzzy proportional integral (FPI) controller and fuzzy frequency (FF) controller associated with the automatic generation control (AGC) including SMES unit. The effects of the self-tuning configuration with FPI controller in AGC is also compared with that of FF controlled AGC on SMES control. The simulation results show that both self tuning control schemes of AGC are very effective in damping out of the oscillations caused by load disturbances and it is also seen that the FF controlled AGC with SMES perform better primary frequency control compared to FPI controlled AGC with SMES. Keywords: Load frequency control; Single area power system; FPI controller; FF controller; SMES unit. © 2010 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.    DOI: 10.3329/jsr.v2i2.3063               J. Sci. Res. 2 (2), 285-293 (2010) 

scholarly journals Coordinated SMES and TCSC Damping Controller for Load Frequency Control of Multi Area Power System with Diverse Sources

2020 ◽  
Vol 12 (4) ◽  
pp. 747-769
Author(s):  
CH. Naga Sai Kalyan ◽  
◽  
G. Sambasiva Rao ◽  
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Magnetic Energy ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Superconducting Magnetic Energy Storage ◽  
Load Frequency ◽  
Total Analysis ◽  
Magnetic Energy Storage ◽  
Tie Line

This paper investigates the load frequency analysis (LFC) of two area interconnected realistic power system with multi-fuel generating units. Each area consists of thermal, hydro and gas power generating plants. A new evolutionary algorithm is proposed, named Hybrid artificial electric field (HAEFA) optimization algorithm and integral square error (ISE) performance index is utilized to find classical PI/PID controller gains. Later, total analysis is carried out in presence of PID an account of its superiority functioning rather than PI. Moreover, the efficacy of the presented algorithm is deliberated by testing on two area conventional power system model of thermal unit with structure of non-reheat turbines and also on sphere benchmark function. As the load variation is dynamic in nature, mitigating the area frequency fluctuations and tie-line power variations could not been fulfilled by primary regulator and secondary controller. Effective governing needs additional devices. Therefore, superconducting magnetic energy storage (SMES) devices are incorporated in both areas in addition to Thyristor controlled series capacitor (TCSC) is connected in tie-line. Results, shows the system performance has been significantly improved with SMES and TCSC in the presence of HAEFA based PID controller. The potency of the HAEFA algorithm is compared with other optimizations covered in literature.

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