Robust tuning of power system stabilizers in multimachine power systems

Abdel-Magid, Y.L.; Abido, M. A.; Mantaway, A.H.

doi:10.1109/59.867167

Cited by 119 publications

(48 citation statements)

References 21 publications

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“…The exciter models were based on the standard IEEE models [14]. The power system stabilisers (PSSs) were installed in generators at buses 34, 36 and 38, since these buses identified as the optimal locations to damp inter-area mode oscillations in the original network [15][16]. The governor droop was set at 4% for all synchronous machines, and the automatic voltage regulators (AVRs) were set to regulate the terminal voltage of the synchronous generators.…”

Section: Test System Configurationmentioning

confidence: 99%

Capability curve based enhanced reactive power control strategy for stability enhancement and network voltage management

Meegahapola

Littler

Perera

2013

International Journal of Electrical Power & Energy Systems

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Reactive power has become a vital resource in modern electricity networks due to increased penetration of distributed generation. This paper examines the extended reactive power capability of DFIGs to improve network stability and capability to manage network voltage profile during transient faults and dynamic operating conditions. A coordinated reactive power controller is designed by considering the reactive power capabilities of the rotor-side converter (RSC) and the grid-side converter (GSC) of the DFIG in order to maximise the reactive power support from DFIGs. The study has illustrated that, a significant reactive power contribution can be obtained from partially loaded DFIG wind farms for stability enhancement by using the proposed capability curve based reactive power controller; hence DFIG wind farms can function as vital dynamic reactive power resources for power utilities without commissioning additional dynamic reactive power devices. Several network adaptive droop control schemes are also proposed for network voltage management and their performance has been investigated during variable wind conditions. Furthermore, the influence of reactive power capability on network adaptive droop control strategies has been investigated and it has also been shown that enhanced reactive power capability of DFIGs can substantially improve the voltage control performance. © 2013 Published by Elsevier Ltd. AbstractReactive power has become a vital resource in modern electricity networks due to increased penetration of distributed generation. This paper examines the extended reactive power capability of DFIGs to improve network stability and capability to manage network voltage profile during transient faults and dynamic operating conditions. A coordinated reactive power controller is designed by considering the reactive power capabilities of the rotor-side converter (RSC) and the grid-side converter (GSC) of the DFIG in order to maximise the reactive power support from DFIGs. The study has illustrated that, a significant reactive power contribution can be obtained from partially loaded DFIG wind farms for stability enhancement by using the proposed capability curve based reactive power controller; hence DFIG wind farms can function as vital dynamic reactive power resources for power utilities without commissioning additional dynamic reactive power devices. Several network adaptive droop control schemes are also proposed for network voltage management and their performance has been investigated during variable wind conditions. Furthermore, the influence of reactive power capability on network adaptive droop control strategies has been investigated and it has also been shown that enhanced reactive power capability of DFIGs can substantially improve the voltage control performance.

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Section: Test System Configurationmentioning

confidence: 99%

Capability curve based enhanced reactive power control strategy for stability enhancement and network voltage management

Meegahapola

Littler

Perera

2013

International Journal of Electrical Power & Energy Systems

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“…Analysis and nonlinear simulation results presented in this work showed the effectiveness of the proposed scheme to damp out the local and inter-area modes of oscillations and work effectively over a wide range of loading conditions and system configurations. A robust tuning of classical lead-lag power systems stabilizers to enhance the stability of power systems operating at different loading conditions using eigenvalue analysis and simulation results was presented in [12], where the problem of selecting the stabilizer parameters was converted to a simple optimization problem with an eigenvalue-based objective function, which was solved by a tabu search algorithm. The researchers in [13] proposed a nonlinear variable structure stabilizer in a SMIB and a multi-machine system with multi-mode oscillations systems, where the design of this stabilizer involved a nonlinear transformation technique, a variable structure control technique and the linear system theory.…”

Section: Introductionmentioning

confidence: 99%

Using Bacterial Foraging Algorithm to Design Optimal Power System Stabilizer and Comparisons with Genetic Algorithm and Particle Swarm Optimization

Alomoush¹

2017

IJPER

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Abstract. The Bacterial Foraging (BF) is a global optimization algorithm that imitates the foraging behavior of Escherichia coli (E. coli) bacteria. Foraging habit of individuals and groups of E. coli bacteria for nutrients is modeled as a distributed optimization process. This paper applies this powerful algorithm to design an optimal controller for a single-machine-infinite-bus (SMIB) system equipped with a power system stabilizer (PSS). The main target of the optimal design is to improve the dynamic and steady-state responses when the system is subjected to sever typical disturbances. The BF-based design of the PSS will be also compared with the designs obtained by the two commonly used global optimizers; the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Simulation results presented in the paper indicate robustness and superiority of the proposed BF algorithm to solve the design problem, where the optimal BF-based controller can significantly stabilize the system and efficiently dampen oscillations under disturbances. Results also disclose that BF has the capability to offer a much better-quality global solution with better convergence characteristics than GA and PSO. Results show that the BF-based controller has better impact on system performance in terms of damping the electromechanical oscillations of the rotor angle, rotational speed, electromagnetic torque, and terminal voltage under various disturbance conditions and its damping speed is considerably faster. The significant improvement associated with the BFbased PSS is due to the fact that the BF algorithm leads to a better global solution of the optimization problem under study.

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“…This reduced-order-model was then used to control the system. Tabu-search based robust PSS for single machine as well as multi-machine on infinite bus power systems was proposed by Abdel-Magid et al [9]. Matthews et al developed a Variable Structure Controller (VSC) for SMIB [10].…”

Section: Introductionmentioning

confidence: 99%