Fuzzy logic control scheme for on-line stabilization of multi-machine power system

Hiyama, Takashi; Sameshima, Takeshi

doi:10.1016/0165-0114(91)90211-8

Cited by 92 publications

(22 citation statements)

References 7 publications

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“…The first system is a single-machine-infinite bus power system [9]. The second system is the 10-machine 39-bus New England power system [20], with each synchronous machine described by a nonlinear fourth-order model as given in the Appendix. The supplementary stabilizing signal considered is one proportional to speed.…”

Section: Problem Formulation and Resultsmentioning

confidence: 99%

“…Without power system stabilizers, the system damping is poor and the system exhibits highly oscillatory response [20]. It is therefore necessary to install one or more PSS to improve the dynamic performance.…”

Section: B Example 2 Thirty Nine-bus Ten-machine Systemmentioning

confidence: 99%

“…3 is considered. Details of the system data are given in [20]. Generator is an equivalent power source representing parts of the U.S.-Canadian interconnection system.…”

Section: B Example 2 Thirty Nine-bus Ten-machine Systemmentioning

confidence: 99%

See 2 more Smart Citations

Robust tuning of power system stabilizers in multimachine power systems

Abdel-Magid

Abido

Mantaway³

2000

IEEE Trans. Power Syst.

119

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Abstract-This paper demonstrates the robust tuning of power systems stabilizers for power systems, operating at different loading conditions. A classical lead-lag power system stabilizer is used to demonstrate the technique. The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. The objective function allows the selection of the stabilizer parameters to optimally place the closed-loop eigenvalues in the left-hand side of a vertical line in the complex -plane. The effectiveness of the stabilizers tuned using the suggested technique, in enhancing the stability of power systems, is confirmed through eigenvalue analysis and simulation results.

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Section: Problem Formulation and Resultsmentioning

confidence: 99%

Section: B Example 2 Thirty Nine-bus Ten-machine Systemmentioning

confidence: 99%

See 1 more Smart Citation

Robust tuning of power system stabilizers in multimachine power systems

Abdel-Magid

Abido

Mantaway³

2000

IEEE Trans. Power Syst.

119

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show abstract

“…Deregulated system will consist of GENCOs, DISCOs, and transmission companies (TRANSCOs) and independent system operator (ISO). However,the common AGC goals i.e., restoring the frequency and the net interchanges to their desired values for each control area [17]. The power system is assumed to contain two areas and each…”

Section: Deregulated Power System For Lfc With Two Areasmentioning

confidence: 99%

Load Frequency Control in Deregulated Power System using Fuzzy C-Means

Srikanth¹,

Sudha²,

Raju³

2013

IJCA

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In this paper, a fuzzy C-means controller proposed to the generation of optimal fuzzy rule base by Fuzzy C -Means clustering technique (FCM) for load frequency control in deregulated environment. The phase-plane plot of the inputs of the fuzzy controller is utilized to obtain the rule-base in the linguistic form. The proposed method is tested on a two-area power system with different contracted scenarios under various operating conditions. The results of the proposed controller are compared with the fuzzy PID controller and conventional PID controller to illustrate its robust performance. These comparisons demonstrate the superiority and robustness of the proposed controller.

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“…Different modern control theory based approaches have been applied to PSS design problem. These contain optimal control, fuzzy & neuro-fuzzy control, variable structure control and adaptive control [4][5][6][7]. It is shown in [8] that appropriate selection of conventional PSS parameters result in satisfactory performance under system disturbances.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of Invasive Weed Optimization and Particle Swarm Optimization Algorithm for the tuning of Power System Stabilizer in Multi-machine Power System

Ahmed¹,

Amin²

2012

IJCA

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In this paper, two evolutionary algorithms-Invasive Weed Optimization (IWO) based power system stabilizer (PSS) and particle swarm optimization (PSO) based power system stabilizer is designed for multi-machine power system to compare their tuning performances. IWO is a derivative-free real parameter optimization technique that mimics the ecological behavior of colonizing weeds. PSO is also a derivative-free and flexible optimizer which is powered by the behavior of organism, such as bird flocking. Eigen-value based objective function is considered for the tuning of PSSs to enhance system damping of electromechanical mode. The performance of proposed IWO-based PSS and PSO-based PSS is tested and demonstrated under different disturbances for a four machine example power system. The Eigen value analysis and non-linear time domain simulation results shows that both IWO-based PSS and PSO-based design can successfully damp out the oscillations and thus improve the stability of the system. However, the abilities like faster convergence and greater shifting of critical modes to the left of s-plane keeps the choice of IWO based design in front of PSO based design for the system under consideration. General TermsPower system stability, Multi-machine system, Optimization.

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Fuzzy logic control scheme for on-line stabilization of multi-machine power system

Cited by 92 publications

References 7 publications

Robust tuning of power system stabilizers in multimachine power systems

Robust tuning of power system stabilizers in multimachine power systems

Load Frequency Control in Deregulated Power System using Fuzzy C-Means

Performance Comparison of Invasive Weed Optimization and Particle Swarm Optimization Algorithm for the tuning of Power System Stabilizer in Multi-machine Power System

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