Load frequency control in two area power systems using fuzzy logic controller

Çam, Ertuğrul; Kocaarslan, İlhan

doi:10.1016/j.enconman.2004.02.022

Cited by 170 publications

(53 citation statements)

References 6 publications

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“…Matlab/Simulink version 7 is used for simulation purpose. The same values of system parameters (Çam and Kocaarslan 2005), given in Table 1, are used for all controllers for a comparative study. Figure 3 presents the view of rules for fuzzy logic controller under study.…”

Section: Simulation Analysis and Resultsmentioning

confidence: 99%

“…The comparison among the proposed controller, a conventional PI controller and some other fuzzy controllers shows that the two important dynamic parameters i.e. overshoots and settling time with the proposed controller are better than those of the studies carried out in (Çam and Kocaarslan 2005;Chang and Fu 1997) and conventional PI controllers.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, Y is a crisp value and u is a control signal for the system. Mamdani fuzzy theory has been applied to determining the gain of controller (Çam and Kocaarslan 2005).…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

“…Chang and Fu (Chang and Fu 1997), and Cam and Kocaarslan (Çam and Kocaarslan 2005) used such methods for load frequency control in power systems. Both of them developed some fuzzy rules for proportional and integral gains separately.…”

Section: Introductionmentioning

confidence: 99%

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Frequency stabilization using fuzzy logic based controller for multi-area power system

Mathur¹,

Manjunath²

2007

S. Pac. J. Nat. App. Sci.

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Section: Simulation Analysis and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Therefore, Y is a crisp value and u is a control signal for the system. Mamdani fuzzy theory has been applied to determining the gain of controller (Çam and Kocaarslan 2005).…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Frequency stabilization using fuzzy logic based controller for multi-area power system

Mathur¹,

Manjunath²

2007

S. Pac. J. Nat. App. Sci.

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“…Various controllers have been used in different areas could not efficiently control the frequency and rather slow for the output response due to fact of non-linearity in system components [1][2], time invariant and governed by strong cross-couplings of the input variables. Therefore, the controllers have to be designed with taking into account the nonlinearities and disturbances.…”

Section: Introductionmentioning

confidence: 99%

An Investigation of Scaled-FLC Using PSO for Multi-area Power System Load Frequency Control

Jaber¹,

Ahmad²,

Abdalla³

2013

EPE

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Load Frequency Control (LFC) is one of power systems important requirements which maintain the zero steady-state errors in the frequency changing and restoring the natural frequency to its normal position. Many problems are subject to LFC such as suddenly large load or suddenly disconnecting generating unit by the protection device. In this paper, multi-area Frequency Control by using the combination of PSO and fuzzy logic control (FLC) technique. PSO optimization method is used to tuning the fuzzy controller input and output gains. Four of an interconnected electrical power system used as a testing the effectiveness of the proposed method compared to a conventional PI controller and scaled-fuzzy controller. The simulation result has been shown that the controller can generate the best dynamic response in multi-load conditions.

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Impact of demand management with load frequency control in distribution network with high penetration of renewable energy sources

Ranjitha¹,

Sivakumar²,

Rajapandiyan³

2021

Int Trans Electr Energ Syst

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Summary Renewable sources are deployed to meet the growing needs of the energy demand. Integration of these renewable sources in a power system leads to increased complexity due to which it is essential to adapt new control strategies to retain system stability by preserving frequency in a nominal value. Therefore, the objective of the work is to control the load frequency of an interconnected hybrid (wind, solar, thermal) power system by optimizing generator cost while implementing the demand management technique. Deviation in the frequency and tie‐line power due to fluctuation of renewable energy sources and load is addressed. For cost optimization, demand management technique was applied to the distribution system comprising flexible loads such as electric vehicle and heat pump. Voltage constraints and network congestion in the system are considered. The cascaded control technique is proposed for load frequency control and firefly based controller for cost optimization in the thermal power system. In the cascaded controller, proportional integral derivative (PID) and atom search optimization algorithm‐tuned PID controller are recommended. Performance of the projected approach is compared with a PID controller and fuzzy logic controller‐based load frequency control. Simulation studies and the result of various test cases considered clearly show the effectiveness of the controller implemented in the proposed system.

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Load frequency control in two area power systems using fuzzy logic controller

Cited by 170 publications

References 6 publications

Frequency stabilization using fuzzy logic based controller for multi-area power system

Frequency stabilization using fuzzy logic based controller for multi-area power system

An Investigation of Scaled-FLC Using PSO for Multi-area Power System Load Frequency Control

Impact of demand management with load frequency control in distribution network with high penetration of renewable energy sources

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