Probabilistic eigenvalue sensitivity analysis and pss design in multimachine systems

Chung, C.Y.; Wang, K.W.; Tse, C.T.; Bian, Xiaoyan; David, A.K.

doi:10.1109/tpwrs.2003.818709

Cited by 70 publications

(38 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [94], an eigen value sensitivity based analysis approach has been addressed for control coordination of series and shunt FACTS controllers in a multi-machine power system for series and shunt FACTS controllers considered are SVC, TCSC and SVC-TCSC combination. Chung et al has been suggested a probabilistic eigen sensitivity based analysis for the selection of robust PSS location, parameters, and coordination for enhance the damping of multiple electro-mechanical modes in a multi-machine power systems over a large and prespecified set of operating conditions [95]. An eigen value sensitivity based analysis approach has been addressed for design and coordinate multiple stabilizers in order to enhance the electro-mechanical transient behaviour of power systems [96].…”

Section: Sensitivity Based Methodsmentioning

confidence: 99%

A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

Singh¹,

Sharma²,

Tiwari³

2010

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-This paper presents exhaustive review of various methods/techniques for coordinated control between FACTS controllers in multi-machine power systems. It also reviews various techniques/methods for optimal choice and allocation of FACTS controllers. Authors strongly believe that this survey article will be very much useful to the researchers for finding out the relevant references in the field of placement and coordination of FACTS Controllers.

show abstract

Section: Sensitivity Based Methodsmentioning

confidence: 99%

A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

Singh¹,

Sharma²,

Tiwari³

2010

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

show abstract

“…IEEE/CIGRE Joint Task Force committee introduce the power system stability as follows "Small-disturbance (or small-signal) rotor angle stability is concerned with the ability of the power system to maintain synchronism under small disturbances. The disturbances are considered to be sufficiently small that linearization of system equations is permissible for purposes of analysis" [12].…”

Section: Small Signal Stabilitymentioning

confidence: 99%

Estimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System

Soleymani¹,

Hasanvand²

2017

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

show abstract

“…Zhang, Y et al [19,20] proposed an adaptive power system stabilizer based on adaptive control techniques. Under the assumption of normal distribution, the conventional eigenvalue sensitivity analysis was extended to a probabilistic environment, and two probabilistic indexes derived from the sensitivities of eigenvalue expectations and variances were introduced to the PSS site and parameter selection by Chung, C.Y et al in [21][22][23]. Shu Liu et al [24] proposed a nonlinear analysis framework based on normal form (NF) theory and center manifold reduction to determine the most effective selection of generating units to be equipped with power system stabilizers.…”

Section: Introductionmentioning

confidence: 99%

“…Tse, C.T. et al [22,23] discussed the coordinated synthesis of PSS parameters based on a probabilistic eigenvalue-based objective function in a multi-operating conditions system. To obtain the solution of parameter tuning rapidly and accurately, the effective algorithm has also received some attention.…”

Section: Introductionmentioning

confidence: 99%

Model of Power System Stabilizer Adapting to Multi-Operating Conditions of Local Power Grid and Parameter Tuning

Hu¹,

Ji²,

Jin

et al. 2018

Sustainability

View full text Add to dashboard Cite

Abstract:The rapid development of the modern power grid has resulted in significant changes to the dynamic characteristics of regional power grids. Moreover, the operating conditions of power grids are increasingly complex, and uncertainty factors are on the rise, which makes it difficult for a conventional power system stabilizer (PSS) to provide enough damping for the power system. To solve the problem where the conventional model and parameter-tuning method of a PSS cannot adapt to the multi-operating conditions of the modern power system, a new emergency control model of PSS (E-PSS) that can adapt to the multi-operating conditions of the local power grid and a method of parameter tuning based on probabilistic eigenvalue are proposed in this paper. An emergency control channel is also installed on the PSS2B. The conventional channel is used to control the system under normal operating conditions, which ensures that the system meets the conditions of dynamic stability in 99% of operating conditions, and the emergency control is adopted immediately in extreme conditions. Through the process of parameter tuning, the adaptability of the PSS to multi-operating conditions and damping coupling are both considered. Finally, it is verified that the emergency control model of the PSS and the parameter tuning method are effective and robust by a series of simulations based on MATLAB and its Power system analysis toolbox (PSAT). The rapidity of the emergency control can guarantee its effectiveness.

show abstract

Probabilistic eigenvalue sensitivity analysis and pss design in multimachine systems

Cited by 70 publications

References 16 publications

A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

Estimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System

Model of Power System Stabilizer Adapting to Multi-Operating Conditions of Local Power Grid and Parameter Tuning

Contact Info

Product

Resources

About