Application of simple fuzzy PSSs for power system stability enhancement of the Mexican Interconnected System

Ramirez-Gonzalez, M.; Malik, O.P.

doi:10.1109/pes.2010.5589526

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…The main concern of the damping issue is the lag compensation in between excitation input and the air gap electrical torque is provided by third block of CPSS, called as the phase compensator block and showed in Figure 4. The output of the PSS is controlled by the limiting block to prevent the over excitation and concerned block is called as limiting block with bounds generally as ± 0.12 to ± 0.15 pu [1,2,47]. The transfer function the conventional PSS (CPSS) is given by.…”

Section: Test System Descriptionmentioning

confidence: 99%

Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller

Sambariya¹

2015

JEEE

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In this paper, the fuzzy logic controller (FLC) based power system stabilizer (PSS) with compressed / reduced rule is presented. The FLC rule base is generally based on empirical control rules. In this method, the fuzzy system with a large number of fuzzy rules is compressed to a fuzzy system with a reduced number of rules by removing the redundant and inconsistent rules from the rule base which doesn't affect the performance of the fuzzy logic controller. The FLC based PSS has two input signals as speed deviation and derivative of speed deviation with an appropriate number of linguistic variables. The number of compressed rules in the rule base through the proposed dominant rule algorithm is reduced to a number as low in the number of selected linguistic variables to represent input and output signals. The application of the FLC with compressed rules as a power system stabilizer (CR-FPSS) is investigated by simulation studies on a single-machine infinite-bus system (SMIB). The superior performance of this compressed rule based fuzzy PSS (CR-FPSS) as compared to conventional PSS and proves the better efficiency of this new CR-FPSS. The reduced CPU computational time and storage space as compared to the fuzzy power system stabilizer (FPSS), proves its applicability in control.

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Section: Test System Descriptionmentioning

confidence: 99%

Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller

Sambariya¹

2015

JEEE

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“…1 depicts a simplification of the Mexican interconnected power system [43,58]. It encompasses six regional systems, with a generation capacity of 54 GW (in 2004) and an annual consumption level of 183.3 TWh (in 2005).…”

Section: Case Studymentioning

confidence: 99%

“…Conventional PSSs (CPSSs) [40][41] use transfer functions designed for linear models representing the generators at a certain operating point. However, they have some major limitations [42,43]: (i) as they are designed off-line, they require further tuning during commissioning; (ii) as they are tuned for one operating condition, they cannot achieve the same level of performance for varying operating conditions [44][45][46]; (iii) as the power system configuration or conditions change with time, they require retuning at appropriate intervals for continued good performance.…”

Section: Introductionmentioning

confidence: 99%

A strategy to simultaneously tune power system stabilizers

Ramı́rez

Correa

Hernández

2012

International Journal of Electrical Power & Energy Systems

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“…The artificial neural networks used to design PSS in [4,5], but it behaves like the ''black-box'' between the input-output pairs, and no analytical treatment is available to prove the stability of the closed-loop power system. Fuzzy logic control technique-based PSS design is used in [6][7][8], and it also suffers with the complexity of the selection of membership functions and fuzzy rules [9,10]. The new variant of type-1 fuzzy called as interval type-2 is recently applied for the small signal stability improvement in [11,12].…”

Section: Introductionmentioning

confidence: 99%

Optimal Tuning of Fuzzy Logic Power System Stabilizer Using Harmony Search Algorithm

Sambariya

Prasad

2015

Int. J. Fuzzy Syst.

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In this paper, the design of fuzzy logic power system stabilizer (FPSS) is carried out using a harmony search algorithm (HSA) to optimize the input-output scaling factors of the fuzzy logic controller. The optimization problem is considered minimization of integral square error as an objective function with single-machine and multimachine power system. The performance of the HSA optimized FPSS with both systems is compared that of with robust FPSS; HSA tuned input scaling factors of FPSS, and particle swarm optimization tuned input-output FPSS for a wide range of operating conditions. The speed response performance for both systems is compared in terms of performance indices, and superiority of the proposed HSFPSS is validated. Keywords Fuzzy power system stabilizer Á Harmony search algorithm optimized fuzzy power system stabilizer Á Particle swarm optimization (PSO) tuned input-output FPSS Á SMIB power system Á Two-area ten-machine power system

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Application of simple fuzzy PSSs for power system stability enhancement of the Mexican Interconnected System

Cited by 5 publications

References 12 publications

Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller

Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller

A strategy to simultaneously tune power system stabilizers

Optimal Tuning of Fuzzy Logic Power System Stabilizer Using Harmony Search Algorithm

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