Robust Load Frequency Control of multi-area interconnected system including SMES units using Type-2 Fuzzy controller

2013 ◽  
Author(s):  
R. Vijaya Santhi ◽  
K.R. Sudha ◽  
S. Prameela Devi
Keyword(s):  
Fuzzy Controller ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Interconnected System ◽  
Load Frequency

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.

A Novel Approach for Load Frequency Control of Interconnected Thermal Power Stations

2012 ◽  
Vol 1 (2) ◽  
pp. 85-95 ◽  
Author(s):  
Yogendra Arya ◽  
H.D. Mathur ◽  
S.K. Gupta
Keyword(s):  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
System Response ◽  
Load Frequency ◽  
Power Stations ◽  
Novel Approach ◽  
Thermal Power Stations

This paper presents a fuzzy logic controller for load frequency control (LFC) of multi-area interconnected power system. The study has been designed for a three area interconnected thermal power stations with generation rate constraint (GRC). Simulation results of the proposed fuzzy controller are presented and it has been shown that proposed controller can generate the good dynamic response following a step load change. Robustness of proposed controller is achieved by analyzing the system response with varying system parameters.

scholarly journals ANN based LFC with Coordination strategies of DERs in Hybrid Isolated Micro-Grid Environment

2021 ◽  
Vol 309 ◽  
pp. 01036
Author(s):  
Srikanth Boyini ◽  
Srividya Devi Palakaluri ◽  
Rekha Mudundi
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Active Power ◽  
Load Frequency Control ◽  
Injection System ◽  
Renewable Energy Resources ◽  
Interconnected System ◽  
Load Frequency ◽  
Power Injection ◽  
Micro Grid

This paper provides a load frequency control (LFC) of a micro grid with renewable energy resources (RES). The operation of micro grid with a low inertia system leds to disturbances in power system. The disturbances in frequency is more in micro grid than conventional power system. So there should be a fast recovery of changes in frequency with existing system and interconnected system (RES). Active power injection is the main scheme to control frequency of a system. The matlab simulink tells us that different active power injection system contribute for the fast control of grid frequency with PID controller. The use of ANN technology to this system the load frequency control can be illustrated in faster rate of its recovery. An ANN controller is investigated which handles the inputs collectively in each sector of the power system. Back-transmission time is normally used in the study for neural network education. The performance of the power system is simulated independently with a typically integrated conventional controller and ANN controller. A complete spectrum of small signals is introduced for RESs in the isolated microgrid and a correct role in frequency control studies is taken into account.

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