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Understanding Small-Signal Stability of Low-Inertia Systems
Large-scale integration of renewable generation, usually interfaced to the network through power electronics, has led to drastic …
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A Passivity-Based Framework for Stability Analysis and Control Including Power Network Dynamics
The ongoing efforts by many countries worldwide to increase the share of renewable energy sources in power generation has changed the …
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A Robust Coordinated Expansion Planning Model For Wind Farm-Integrated Power Systems With Flexibility Sources Using Affine Policies
This article presents a two-stage adaptive robust coordinated generation and transmission expansion planning model for a wind …
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Stochastic Unit Commitment in Low-Inertia Grids
In this paper, the Unit Commitment (UC) problem in a power network with low levels of rotational inertia is studied. Frequency-related …
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MPC-Based Fast Frequency Control of Voltage Source Converters in Low-Inertia Power Systems
A rapid deployment of renewable generation has led to significant reduction in the rotational system inertia and damping, thus making …
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Clustering Data-driven Local Control Schemes in Active Distribution Grids
Controllable Distributed Energy Resources (DERs) in Active Distribution Grids (ADGs) provide operational flexibility to system …
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A Combined High-, Medium-, and Low-Voltage Test System for Stability Studies with DERs
Future scenarios with high penetration of Distributed Energy Resources (DERs) call out for detailed network modelling at all voltage …
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Active Distribution Grids Offering Ancillary Services in Islanded and Grid-Connected Mode
Future Active Distribution Grids (ADGs) will incorporate a plethora of Distributed Generators (DGs) and other Distributed Energy …
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Wide-area oscillation damping in low-inertia grids under time-varying communication delays
Wide-Area Control (WAC) can be efficiently used for oscillation damping in power systems. However, to implement a WAC, a communication …
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Data-Driven Local Control Design for Active Distribution Grids Using Off-Line Optimal Power Flow and Machine Learning Techniques
The optimal control of distribution networks often requires monitoring and communication infrastructure, either centralized or …
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