scholarly journals Design of various Automatic Control Topologies for Load Frequency Control of Six Area Hybrid Multi-Generation Power System

2019 ◽  
Vol 9 (2) ◽  
pp. 1922-1928
Keyword(s):  
Hybrid Model ◽  
Fuzzy Inference ◽  
Control Strategies ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Dynamic Responses ◽  
Inference System ◽  
Load Frequency ◽  
Neural Network Controller ◽  
Load Unit

The automatic load frequency control of six unequal areas hybrid model consist of thermal, reheat thermal plants, hydraulic governor system, nuclear, diesel, gas turbine plants. These generating units are represented from area one to area six. If any disturbance occurs in load results to variation of frequency and tie-line. When the generating area doesn’t meet load unit gives abnormal limits in response. This can be solved by the implementation of Proportional integral controller(PI), Artificial Neural Network controller(ANN), Adaptive Neuro Fuzzy Inference System controller (ANFIS).But still there is a chance to achieve better responses can be done by the proposed Genetic Algorithm (GA) based PI controller. In the MAT LAB environment hybrid model is developed. The Step varying input is applied that will leads to creating the disturbances and controlled by applying controller respectively. The evaluation of responses will be carried out by the control strategies of frequency responses and tie-lie power responses in all six areas hybrid model system. This work gives the information about the dynamic responses achieved by GA controller is more efficient than that of existing controllers and evaluated by MATLAB Simulink results.

scholarly journals Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2497 ◽  
Author(s):  
Hassan Alhelou ◽  
Mohamad-Esmail Hamedani-Golshan ◽  
Reza Zamani ◽  
Ehsan Heydarian-Forushani ◽  
Pierluigi Siano
Keyword(s):  
Power Systems ◽  
Control Strategies ◽  
Frequency Control ◽  
Vital Role ◽  
Load Frequency Control ◽  
Smart Power ◽  
Stable Mode ◽  
Control Loops ◽  
Load Frequency ◽  
Secondary Frequency Control

Power systems are the most complex systems that have been created by men in history. To operate such systems in a stable mode, several control loops are needed. Voltage frequency plays a vital role in power systems which need to be properly controlled. To this end, primary and secondary frequency control loops are used to control the frequency of the voltage in power systems. Secondary frequency control, which is called Load Frequency Control (LFC), is responsible for maintaining the frequency in a desirable level after a disturbance. Likewise, the power exchanges between different control areas are controlled by LFC approaches. In recent decades, many control approaches have been suggested for LFC in power systems. This paper presents a comprehensive literature survey on the topic of LFC. In this survey, the used LFC models for diverse configurations of power systems are firstly investigated and classified for both conventional and future smart power systems. Furthermore, the proposed control strategies for LFC are studied and categorized into different control groups. The paper concludes with highlighting the research gaps and presenting some new research directions in the field of LFC.

scholarly journals Load Frequency control(LFC) of a Multiarea Restructured Hybrid Powersystem on Multi objective SSA

2019 ◽  
Vol 9 (2S3) ◽  
pp. 395-402
Keyword(s):  
Frequency Control ◽  
Test System ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Dynamic Responses ◽  
Double Integral ◽  
Load Frequency ◽  
Multiobjective Approach ◽  
Integral Controller ◽  
Frequency Controller

The aimof the paper tune the paramters of the load frequency controller using a latest and novel algorithm named as Salp sarm of algorithm with multiobjective approach. The test system choosen is a Two area interconnected hybrid power system under deregulated-environment integrated with Distributd genertion (DG) resource.The DG systems consists of Windturbine generator(WTG), SolarPV systems, Diesels engines generators(DEG), Fuelcells with Aqua electrolyzers and Energy storages like Batteries energy storage systems(BESS). To minimise the frequency of oscillations, Secondarycontroller opted was an optimal Fuzzy PID plus double integral controller (FPID-II). The effectiveness of proposed controller is determined with the comparison of nominal PI, PID and Two degree freedom PID (TDOFPID) controller. Furthermore the dynamic responses of SSA tuned FPID-II controller are been compared with other optimization techniques. The results depit the superiority of the proposed controller in suppressing the deviations of frequency

scholarly journals Automatic generation control of multi source interconnected power system using adaptive neuro-fuzzy inference system

2020 ◽  
Vol 12 (3) ◽  
pp. 66-80
Author(s):  
Deepesh Sharma
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Fuzzy Inference ◽  
Frequency Control ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Inference System ◽  
Interconnected Power System ◽  
Small Peak ◽  
System Frequency

LFC (Load Frequency Control) difficulty is created by load of power system variations. Extreme acceptable frequency distinction is ±0.5 Hz which is  extremely intolerable. Here, LFC is observed by PID controller (PID-C), Fuzzy and ANFIS controller (ANFIS-C). To control different errors like frequency and area control error (ACE) in spite of occurrences of load disturbance and uncertainties of system is checked by MATLAB/SIMULINK software. Proposed Controller offers less, and small peak undershoot, speedy response to make final steady state. LFC is mandatory for reliability of  large interconnected power system. LFC is used to regulate power output of generator within specified area to maintain system frequency and  power interchange. Here, two area multi source LFC system is analyzed. ANFIS is utilized for tie-line power deviation and controlling frequency. Proposed controller is compared with other controller and it is found that proposed controller is better than other controller. Proposed controller is better in terms of Robustness. The output responses of interconnected areas have been compared on basis of peak-undershoot, peak-overshoot and settling time (Ts). Result of FLC is compared to that of with classical controller such as proportional derivative plus integral (PID) controller  which suggests that conventional controller is slow. Keywords: LFC, Fuzzy, PID, ANFIS, LFC; FLC; ACE; PID-C, AGC.

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 Load Frequency Control of Three area Multi-Unit Deregulated Power System with FOSMC and Performance analysis using Regulation constant

2020 ◽  
pp. 389-406
Author(s):  
KURAKULA VIMALA KUMAR ◽  
G.Sritej ◽  
V.Ganesh
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Sliding Mode ◽  
Magnetic Energy ◽  
Frequency Control ◽  
Phase Shifters ◽  
Load Frequency Control ◽  
Dynamic Responses ◽  
Load Frequency ◽  
Deregulated Power System

This paper presents three area multi-unit Deregulated Power System (DPS) for Load Frequency Control (LFC) using Fractional Order Sliding Mode Controller (FOSMC) along with Thyristor Controlled Phase Shifters (TCPS) and Superconducting Magnetic Energy Storage (SMES) combination. The FOSMC can be used to overcome nonlinearities and uncertainties of the system for bilateral and unilateral transactions under different Step Load Perturbations (SLPs). The deregulated power system performance is analyzed for different Regulation constants (R) such as 1.8, 2.4 and 3.0. For stabilization of oscillations in frequency and to stabilize the deregulated power system dynamically for different SLPs, TCPS is incorporated with the tie line in series and SMES is used as an energy storage unit. The dynamic responses of LFC problems have been simulated and analyzed with MATLAB/Simulink-based computer simulations. Further simulation results have also been tabulated as a comparative performance with respect to peak overshoot and settling time. 

Four-Area Load Frequency Control of an Interconnected Power System Using Neuro-Fuzzy Hybrid Intelligent Proportional and Integral Control Approach

2013 ◽  
Vol 22 (2) ◽  
pp. 131-153 ◽  
Author(s):  
Surya Prakash Giri ◽  
Sunil Kumar Sinha
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Plant Performance ◽  
Inference System ◽  
Integral Control ◽  
Control Approach ◽  
Interconnected Power System ◽  
Load Frequency ◽  
Neuro Fuzzy

AbstractThis article presents a novel control approach, hybrid neuro-fuzzy (HNF), for the load frequency control (LFC) of a four-area interconnected power system. The advantage of this controller is that it can handle nonlinearities, and at the same time, it is faster than other existing controllers. The effectiveness of the proposed controller in increasing the damping of local and inter-area modes of oscillation is demonstrated in a four-area interconnected power system. Areas 1 and 2 consist of a thermal reheat power plant, whereas Areas 3 and 4 consist of a hydropower plant. Performance evaluation is carried out by using fuzzy, artificial neural network (ANN), adaptive neuro-fuzzy inference system, and conventional proportional and integral (PI) control approaches. Four different models with different controllers are developed and simulated, and performance evaluations are carried out with said controllers. The result shows that the intelligent HNF controller has improved dynamic response and is at the same time faster than ANN, fuzzy, and conventional PI controllers.

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