Using a FACTS device controlled by a decentralised control law to damp the transient frequency deviation in a deregulated electric power system

Menniti, Daniele; Pinnarelli, Anna; Scordino, N.; Sorrentino, N.

doi:10.1016/j.epsr.2004.04.013

Cited by 36 publications

(14 citation statements)

References 12 publications

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“…A lot of studies have been made about AGC in a restructured power industry over last decades. These studies try to modify the conventional LFC system [30] to take into account the effect of bilateral contracts on the dynamics [12] and improve the dynamical transient response of the system under competitive conditions [9,18,19]. This paper proposes a control scheme that guarantees a minimum transient deviation and ensures zero steady state error.…”

Section: Introductionmentioning

confidence: 98%

Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system

Shree

Kamaraj²

2016

International Journal of Electrical Power & Energy Systems

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Section: Introductionmentioning

confidence: 98%

Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system

Shree

Kamaraj²

2016

International Journal of Electrical Power & Energy Systems

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“…An auxiliary stabilizing signal can also be superimposed on the power flow control function of the SSSC so as to improve power system oscillation stability [4]. The applications of SSSC for power oscillation damping, stability enhancement and frequency stabilization can be found in several references [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

ANFIS approach for SSSC controller design for the improvement of transient stability performance

Khuntia

Panda

2013

Mathematical and Computer Modelling

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Adaptive neuro-fuzzy inference system (ANFIS) Flexible ac transmission system (FACTS) Single machine infinite bus (SMIB) Static synchronous series compensator (SSSC) Transient stability a b s t r a c t In this paper, an Adaptive Neuro-Fuzzy Inference System (ANFIS) method based on the Artificial Neural Network (ANN) is applied to design a Static Synchronous Series Compensator (SSSC)-based controller for the improvement of transient stability. The proposed ANFIS controller combines the advantages of a fuzzy controller as well as the quick response and adaptability nature of an ANN. The ANFIS structures were trained using the generated database by the fuzzy controller of the SSSC. It is observed that the proposed SSSC controller improves greatly the voltage profile of the system under severe disturbances. The results prove that the proposed SSSC-based ANFIS controller is found to be robust to fault location and changes in operating conditions. Further, the simulation results obtained are compared with the conventional lead-lag controller under various disturbances, namely three-phase unbalanced faults and other unbalanced faults to show the effectiveness and robustness of the proposed approach for SSSC.

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“…SSSC is one of the FACTS devices, which connected in series with transmission line [5]. During the past decades, in order to improve LFC performance of interconnected power system, installing SSSC between areas has been used [3,[5][6]. Parameters of the lead-lag controller have been optimized by a micro-genetics algorithm using evaluation of the fitness function which is based on a linear combination of damping ratio of the inter-area mode and the multiplicative stability margin for taking system uncertainties into account [4].…”

Section: Introductionmentioning

confidence: 99%

A new scheme to control SSSC in interconnected power systems

Zareiegovar

Shayeghi

Sakhavati

et al. 2010

2010 9th International Conference on Environment and Electrical Engineering

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In this paper, a new scheme to control an Static Synchronous Series Compensator (SSSC) installed in a two-area power system is proposed. The power system is equipped with the SSSC to improve Load-Frequency Control (LFC). In the proposed scheme, SSSC is able to compensate for load changes in both areas on both sides of SSSC. Objective functions of designing parameters are based on Integral of Time multiplied by Absolute value of the Error (ITAE). Parameters of conventional integral controllers and active power controller of SSSC are designed using defined optimization problems. To solve the optimization problems, PSO algorithm is used. Simulation results of the two-area power system equipped with SSSC and without SSSC are compared.

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Using a FACTS device controlled by a decentralised control law to damp the transient frequency deviation in a deregulated electric power system

Cited by 36 publications

References 12 publications

Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system

Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system

ANFIS approach for SSSC controller design for the improvement of transient stability performance

A new scheme to control SSSC in interconnected power systems

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