Coordinated tuning of synchronous generator controllers for power oscillation damping

Mešanović, Amer; Münz, Ulrich; Findeisen, Rolf

doi:10.1109/isgteurope.2017.8260237

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…5. Detailed parameters of the system and the initial controller parameterization K i,4 can be found in (Mešanović et al, 2017). The system consists of 56 states and 32 controller parameters.…”

Section: Four Power Plant Modelmentioning

confidence: 99%

“…We next consider the IEEE 39-bus system, consisting of 10 power plants, c.f. Fig 7 . The parameters of the system can be found in (Mešanović et al, 2017). It consists of 190 states and 100 controller parameters.…”

Section: The Ieee 39 Bus 10 Power Plant Modelmentioning

confidence: 99%

“…It is based on frequency domain considerations, and thus avoids the direct formulation of (large-scale) Lyapunov matrices, making the approach generally scalable to larger systems. Previous works of the authors consider H-infinity controller synthesis, see (Mešanović et al, 2017;Mešanović et al, 2018;Mešanović et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Controller tuning in power systems using singular value optimization

Mešanović¹,

Münz²,

Findeisen³

2020

IFAC-PapersOnLine

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Section: Four Power Plant Modelmentioning

confidence: 99%

Section: The Ieee 39 Bus 10 Power Plant Modelmentioning

confidence: 99%

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Controller tuning in power systems using singular value optimization

Mešanović¹,

Münz²,

Findeisen³

2020

IFAC-PapersOnLine

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“…9. The simulation is done with a linearized system model, which has shown good accuracy in previous works [31], [37], [39], [46]. The linear system has 280 states and 160 controller parameters with the initial parameter vector K init .…”

Section: A Centralized Tuning and The Impact Of Renewablesmentioning

confidence: 99%

“…[38], [29], the synthesis procedure is typically centralized. For example, our previous work considered centralized structured controller synthesis [31], [37], [39], [40], whereas here we consider a hierarchical approach. To the authors' knowledge, there are currently no results that consider distributed or hierarchical structured H ∞ synthesis.…”

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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Reliable cost-efficient distributed energy systems with a high renewable penetration: a techno-economic case study for remote off-grid regional coal seam gas extraction

et al. 2018

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As our energy systems evolve with the adoption of more variable renewable energy resources, so will our oil and gas industry play a pivotal role in what is expected to be a lengthy transitional phase to a greater mix of renewables with a reliance on fast, reliable gas peaking power generation, which have lower greenhouse gas emissions, and short delivery periods to construct. Oil and gas companies are also rapidly moving towards becoming integrated energy companies supplying a mix of gas, oil, photovoltaic power, wind power and hydrogen, coupling these into the electrical and gas grids. We discuss some of the components and tasks of a distributed energy system in its various system guises that contribute to a more cost effective, reliable and resilient energy system with lower greenhouse gas emissions. We discuss the role that hydrogen will play in the future as oil and gas companies explore alternatives to fossil fuels to address their need to reduce their carbon footprint, substituting or supplementing their conventional gas supply with renewably produced hydrogen. We talk about how Australia with its excellent renewable resources and the opportunity to potentially develop a new industry around the production of renewable fuels, power-to-X, such as hydrogen, with the potential for the oil and gas industry to leverage its existing assets (i.e. gas pipelines) and future embedded renewable assets to produce hydrogen through electrolysis with the intention of supplementing their liquefied natural gas exports with a portion of renewably produced hydrogen.

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Coordinated tuning of synchronous generator controllers for power oscillation damping

Cited by 7 publications

References 25 publications

Controller tuning in power systems using singular value optimization

Controller tuning in power systems using singular value optimization

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

Reliable cost-efficient distributed energy systems with a high renewable penetration: a techno-economic case study for remote off-grid regional coal seam gas extraction

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