Application of type-2 fuzzy logic system for load frequency control using feedback error learning approaches

Sabahi, Kamel; Ghaemi, Sehraneh; Pezeshki, Saeed

doi:10.1016/j.asoc.2014.02.022

Cited by 63 publications

(18 citation statements)

References 34 publications

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“…A type-2 fuzzy controller using feedback with error learning method for LFC which consists of intelligent feedforward controller like ANN along with conventional feedback control to advance the presentation of the FEL strategy, the type-2 fuzzy logic system with INFC is assumed in the place of ANN due to the capability for modelling worries, which may be present in rules and sensors measured data more efficiently [34]. This approach is related with type-1 fuzzy controller based on FEL and PID controller.…”

Section: Comparative Study Of Settling Timementioning

confidence: 99%

Analysis on various optimization techniques used for Load Frequency Control in power system

Kumar

Indragandhi

2018

Serb J Electr Eng

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In a unified power system the Load Frequency Control (LFC) is taken for review looking at all aspects with various optimization techniques for optimizing the parameters of PI, PID and Fuzzy controllers. The power system with multi area consists of conventional, renewable and combination of both with some energy devices like SMES, battery sources is analyzed specifically in this manuscript. The controllers are designed for a deregulated environment of a power system for LFC. The Model Predictive Control (MPC) and some other control techniques are used to control LFC under various disturbances like GRC and dead band control. For the readers ease of understanding the time response comparison graph of the controller for single and multiple areas of power system is depicted.

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Section: Comparative Study Of Settling Timementioning

confidence: 99%

Analysis on various optimization techniques used for Load Frequency Control in power system

Kumar

Indragandhi

2018

Serb J Electr Eng

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“…In these types of transactions, DISCOs may violate a contract by demanding extra power than that specified in the contract with GENCOs. This extra power is reflected as a local load of the area and must be supplied by the GENCOs situated in the same control area as the DISCO [20,23,[25][26][27][28][29][30]. Consider case-3 again with a modification that DISCO 1 demands extra power of 0.01 puMW.…”

Section: Case-4 Contract Violationmentioning

confidence: 99%

“…In restructured systems, without changing the basic ideas, the engineering aspects of the planning and operation have to be reformulated [20]. In a restructured market, the vertically integrated utility does not exist, but various players like distribution companies (DISCOs), generation companies (GENCOs), transmission companies, and independent system operator (ISO) have emerged [20][21][22][23][24][25][26][27][28][29][30]. Among various ancillary services performed by ISO is the AGC [20,21].…”

Section: Introductionmentioning

confidence: 99%

AGC of a two‐area multi‐source power system interconnected via AC/DC parallel links under restructured power environment

Arya

Kumar

Ibraheem

2015

Optim Control Appl Methods

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Summary In this paper, automatic generation control (AGC) of a two‐area multi‐source power system interconnected via alternating current/direct current (AC/DC) parallel links under restructured power environment is proposed. Each area is equipped with multipower generating sources such as thermal and hydro/gas. To execute the different market contracts in restructured power system, the optimal regulators are designed and implemented using optimal control theory. It is observed that the system dynamic results effectively satisfy the AGC requirements in restructured power system, as well as the system dynamic performance is improved by using AC/DC parallel links in comparison with that obtained with AC link as an area interconnection between the control areas. Furthermore, the eigenvalue study is performed to examine the system stability with and without AC/DC parallel links. Finally, the effectiveness of the optimal regulators is checked for the system under study with physical constraints like time delay, boiler dynamics, generation rate constraints, and governor dead band nonlinearity and variations in system parameters from the nominal values. It is shown that the optimal regulators optimized for linear system are robust enough and work well in the proposed realistic AGC system incorporating physical constraints and wide variations in parameters. Copyright © 2015 John Wiley & Sons, Ltd.

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“…A Second Order Sliding Mode Controller presented for LFC of thermal-thermal power system [31]. H-Infinity loop shaping, BFOA tuning of PID [32,33].A FLC gain scheduling based LFC controller, a FFA tuning of PID controller presented [34,35]. Intelligent controllers such as ANN, ANFIS presented for three area hydro-thermal power system [36], [37].…”

Section: Introductionmentioning

confidence: 99%

Fractional Order Sliding Mode Controller Fed Load-Frequency Control of Multi-Area Deregulated Power System Network

Kumar¹,

Scholar²,

Ganesh³

et al. 2020

IJEAT

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This paper presents a Fractional Order Sliding Mode Controller (FOSMC) for load frequency control of multi area power system in deregulated environment. In deregulated power system the design of controller is more complicated due to contracted and un-contracted load demands. This proposed controller shall take care of system nonlinearities and uncertainties under bilateral contract scenario for sudden load disturbances. The performance of proposed controller compared to PI controller and without any controller.

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Application of type-2 fuzzy logic system for load frequency control using feedback error learning approaches

Cited by 63 publications

References 34 publications

Analysis on various optimization techniques used for Load Frequency Control in power system

Analysis on various optimization techniques used for Load Frequency Control in power system

AGC of a two‐area multi‐source power system interconnected via AC/DC parallel links under restructured power environment

Fractional Order Sliding Mode Controller Fed Load-Frequency Control of Multi-Area Deregulated Power System Network

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