Deregulated LFC scheme using equilibrium optimized Type-2 fuzzy controller

2021 ◽  
pp. 494-505
Author(s):  
Pulakraj Aryan ◽  
Mrinal Ranjan ◽  
Ravi Shankar
Keyword(s):  
Dynamic Response ◽  
Power System ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Deregulated Power System ◽  
Interval Type

This paper deals about the Load Frequency Control (LFC) of two-area deregulated power system with multiple generation sources using interval type-2 fuzzy proportional-integral-derivative (IT2FPID) controller. LFC is the mechanism by which the power system tries to restore its nominal frequency after it has been subjected to load fluctuations. The control areas considered for this paper comprise of thermal generating unit with reheat turbine and gas unit. Considering practical scenario of operation appropriate generation rate constraint (GRC) has been considered for each units. The gain parameters of IT2FPID controller have been optimized by Equilibrium Optimizer (EO). The dynamic response to load disturbances have been compared with prevalent controller schemes to bring about the efficacy of the prospective work.

scholarly journals A Novel Technique for Load Frequency Control of Multi-Area Power Systems

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2125
Author(s):  
Ali Dokht Shakibjoo ◽  
Mohammad Moradzadeh ◽  
Seyed Zeinolabedin Moussavi ◽  
Lieven Vandevelde
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Back Propagation ◽  
Internal Model Control ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Model Control

In this paper, an adaptive type-2 fuzzy controller is proposed to control the load frequency of a two-area power system based on descending gradient training and error back-propagation. The dynamics of the system are completely uncertain. The multilayer perceptron (MLP) artificial neural network structure is used to extract Jacobian and estimate the system model, and then, the estimated model is applied to the controller, online. A proportional–derivative (PD) controller is added to the type-2 fuzzy controller, which increases the stability and robustness of the system against disturbances. The adaptation, being real-time and independency of the system parameters are new features of the proposed controller. Carrying out simulations on New England 39-bus power system, the performance of the proposed controller is compared with the conventional PI, PID and internal model control based on PID (IMC-PID) controllers. Simulation results indicate that our proposed controller method outperforms the conventional controllers in terms of transient response and stability.

scholarly journals Application of Optimal Artificial Intelligence Based Tuned Controllers to a Class of Embedded Nonlinear Power System

2020 ◽  
Vol 9 (1) ◽  
pp. 83
Author(s):  
Magdy A. S. Aboelela
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Frequency Control ◽  
Optimization Technique ◽  
Electric Power System ◽  
Load Frequency Control ◽  
Proportional Integral Derivative ◽  
Intelligent Controller ◽  
Proportional Integral ◽  
And Performance

This paper studies the implementation of the Bat Inspired Algorithm (BIA)<br />as an optimization technique to find the optimal parameters of two classes of controllers. The first is the classical Proportional-Integral-Derivative (PID). The second is the hybrid fractional order and Brain Emotional Intelligent controller. The two controllers have been implemented, separately, for the load frequency control of a single area electric power system with three physical imbedded nonlinearities. The first nonlinearity represents the generation’s rate constraint (GRC). The second is owing to the governor dead band (GDB). The last is due to the time delay imposed by the governor-turbine link, the thermodynamic process, and the communication channels. These nonlinearities have been embedded in the simulation model of the system under study. Matlab/Simulink software has been applied to obtain the results of applying the two classes of controllers which have been, optimally, tuned using the BIA. The Integral of Square Error (ISE) criterion has been selected as an element of the objective function along with the percentage overshoot and settling time for the optimum tuning technique of the two controllers. The simulation results show that when using the hybrid fractional order and Brain Emotional Intelligent controller, it gives better response and performance indices than the conventional Proportional-Integral-Derivative (PID) controllers.

scholarly journals Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller

2021 ◽  
Vol 11 (21) ◽  
pp. 10217
Author(s):  
Swati Rawat ◽  
Bhola Jha ◽  
Manoj Kumar Panda ◽  
Jyotshana Kanti
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Frequency Control ◽  
Test System ◽  
Pi Controller ◽  
Load Frequency Control ◽  
Pv System ◽  
System A ◽  
Interval Type

The load frequency control of a microgrid is one of the emerging areas due to the changes in demand and supply in power system. So the controllers’ implementation must be changed accordingly. This paper proposes an interval type-2 fuzzy logic-based, dual-mode gain scheduling (DMGS) of the proportional and integral controller in which the gains of the PI controller werescheduled through the dynamic selector. This proposed controller was implemented ina hybrid microgrid power system in which nonconventional energy sources wereadded to each area of the conventional power plant, which madethe system much more prone to frequency variations. The controller was designed for three areas, consisting of a photovoltaic (PV) system, a wind power system, a fuel cell and a diesel engine/hydropower generator in which the generation rate constraint (GRC) was considered as a nonlinearity. The proposed power system was investigated under various load conditions in the MATLAB/SIMULINK environment. A comparative evaluation of changes in frequency, tie-line power fluctuations and variations in area control errors for the test system showed the effectiveness of the current approach over simple fuzzy PI and a conventional PI-controlling approach.

scholarly journals FOSSMC for AGC of Multi-Area Power System in Open Market Environment

2019 ◽  
Vol 8 (9S3) ◽  
pp. 419-424
Keyword(s):  
Dynamic Response ◽  
Power System ◽  
Fractional Order ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Frequency Control ◽  
Sudden Change ◽  
Load Frequency Control ◽  
Sliding Mode Controller ◽  
Open Market

This paper presents a Fractional Order based Second Order Sliding Mode Controller (FOSSMC) for Load Frequency Control (LFC) of Deregulated Multi Area Power System (DMAPS). In this paper a new control strategy have been proposed to improve dynamic response of multi area power system under one possible contract scenario by considering bilateral contracts. This proposed new FOSSMC strategy capable of dealing with frequency deviations for sudden change of load on DISCOs. The advantage of FOSSMC in terms of exhibiting dynamic response compared to group of factional order controllers such as Fractional Order PI(FOPI), Fractional Order Fuzzy Controller(FOFLC) and Fractional Order Sliding Mode Controller(FOSMC) and conventional PI controller.

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.

scholarly journals Load Frequency Control in a Multi-Area Deregulated Power System with BBBC-based Discrete Fractional Order Control Scheme

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Big Bang ◽  
Load Frequency Control ◽  
Frequency Error ◽  
Area Control Error ◽  
Load Frequency ◽  
Deregulated Power System ◽  
Control Scheme ◽  
Big Crunch

Load frequency control (LFC) for multi-area restructured power system using discrete controlscheme has been suggested in this paper. The proposed LFC scheme utilizes synchronously measured dataof frequency and tie-line power to calculate area control error (ACE). A discrete non-integer proportionalintegral derivative controller (D-FOPID) has been used to derive frequency error to zero. Two-area thermaland four-area hydro thermal deregulated power system has been used to investigate various LFC issues. Theoptimal factors of D-FOPID have been obtained using big bang big crunch (BBBC) algorithm. The systemresults under MATLAB/Simulink validate that D-FOPID effectively work under different types of contractscenarios. D-FOPID performance has also been compared to discrete proportional integral derivativecontroller (D-PID). Further the compliance with control standards of North American electric reliabilitycouncil (NERC) has also been ensured for both the controller.

Sign in / Sign up

Export Citation Format

Share Document