Impact of Increasing Wind Power Generation on the North-South Inter-Area Oscillation Mode in the European ENTSO-E System

AlAli, Salaheddin; Haase, Torsten; Nassar, Ibrahim A.; Weber, H.W.

doi:10.3182/20140824-6-za-1003.01645

Cited by 18 publications

(3 citation statements)

References 3 publications

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“…The least event is the power system blackout in South Australia on 28 September 2016. Figure 1 is an example of the instable inter-area event of recording a wide area measuring system (WAMS) on 9 February 2006 in Spain [1]. Clearly, observing from this figure, it can be shown significant changes of the dynamic behavior of the system due to the loss of generated power 1.2 GW.…”

Section: Introductionmentioning

confidence: 97%

A Highly Relevant Method for Incorporation of Shunt Connected FACTS Device into Multi-Machine Power System to Dampen Electromechanical Oscillations

2017

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A number of techniques have been proposed to dampen the power system oscillations in the electric power systems. Flexible alternating current transmission system (FACTS) devices are becoming one of them. Among the FACTS family, the static synchronous compensator (STATCOM), a shunt connected FACTS device, has been widely used to provide smooth and rapid steady state, limit transient voltage, and improve the power system stability and performance by absorbing or injecting reactive power. However, the influence ability depends on its placement, control signal, and place of receiving-signal in the network. In order to satisfy these issues, this paper proposes a method for optimal setting and signal position of the STATCOM into the multi-machine power systems with the aim for damping the electromechanical oscillations. This method is developed from the energy approach based on Gramian matrices considering multiple tasks on the Lyapunov equation, in which the observability Gramian matrix is used to seek an optimal location for STATCOM placement. The another is the controllability one used to determine the best local input signal placement that is chosen as a feedback signal for the power oscillation damping (POD) of STATCOM. In addition, the Krylov-based model reduction method is introduced to shorten the calculation time. The proposed method has been verified on the IEEE 24-bus system by analyzing the small-signal stability to search several feasible placements, and then the transient stability is analyzed to compare and determine an optimal placement through testing various cases. The obtained result is also compared with other optimal method.

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Section: Introductionmentioning

confidence: 97%

A Highly Relevant Method for Incorporation of Shunt Connected FACTS Device into Multi-Machine Power System to Dampen Electromechanical Oscillations

2017

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“…thermal power plants, needs to compensate for the reduced renewable power generation. This leads to changing dynamics in power systems, such as time-varying oscillatory modes (Al Ali et al, 2014;Crivellaro et al, 2019). Doing so is challenged by the fact that existing automation systems are designed for fixed, known, dynamics (Kundur, 1993) and that control systems of components are typically parameterized manually during installation, which is a time-consuming task.…”

Section: Introductionmentioning

confidence: 99%

Controller tuning in power systems using singular value optimization

Mešanović¹,

Münz²,

Findeisen³

2020

IFAC-PapersOnLine

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“…As the share of renewable generation in large power systems continues to increase, the operation of power systems becomes increasingly challenging [3]. For example, the constantly shifting mix of renewable and conventional generation leads to time-varying oscillatory modes [4], [5], which are difficult to suppress. If not handled appropriately, todays controllers, which are typically tuned for fixed oscillatory modes, can become ineffective, increasing the risk of blackouts.…”

Section: Introductionmentioning

confidence: 99%

Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks

Mešanović¹,

Münz²,

Findeisen³

2019

Preprint

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The increasing share of renewable generation leads to new challenges in reliable power system operation, such as the rising volatility of power generation, which leads to timevarying dynamics and behavior of the system. To counteract the changing dynamics, we propose to adapt the parameters of existing controllers to the changing conditions. Doing so, however, is challenging, as large power systems often involve multiple subsystem operators, which, for safety and privacy reasons, do not want to exchange detailed information about their subsystems. Furthermore, centralized tuning of structured controllers for large-scale systems, such as power networks, is often computationally very challenging. For this reason, we present a hierarchical decentralized approach for controller tuning, which increases data security and scalability. The proposed method is based on the exchange of structured reduced models of subsystems, which conserves data privacy and reduces computational complexity. For this purpose, suitable methods for model reduction and model matching are introduced. Furthermore, we demonstrate how increased renewable penetration leads to timevarying dynamics on the IEEE 68 bus power system, which underlines the importance of the problem. Then, we apply the proposed approach on simulation studies to show its effectiveness. As shown, a similar system performance as with a centralized method can be obtained. Finally, we show the scalability of the approach on a large power system with more than 2500 states and about 1500 controller parameters.

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Impact of Increasing Wind Power Generation on the North-South Inter-Area Oscillation Mode in the European ENTSO-E System

Cited by 18 publications

References 3 publications

A Highly Relevant Method for Incorporation of Shunt Connected FACTS Device into Multi-Machine Power System to Dampen Electromechanical Oscillations

A Highly Relevant Method for Incorporation of Shunt Connected FACTS Device into Multi-Machine Power System to Dampen Electromechanical Oscillations

Controller tuning in power systems using singular value optimization

Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks

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