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"A Resilient Sequential Service Restoration Framework for Unbalanced Ac" by Ghulam Mohy-Ud-Din, Kashem M. Muttaqi et al.

The resilience of an active distribution network (ADN) is continuously threatened by extreme weather, natural disaster, and cyber-physical incidents. An automatic restoration framework is thus desired to optimally integrate the emerging smart-grid technologies with the grid-edge flexibility to self-heal the ADNs. This paper proposes a framework for sequential ADN restoration by coordinating different distributed energy resources (DERs) on the grid-edge. The uncertainty of the renewable DERs is, however, a challenge. Therefore, the proposed framework is formulated as a chance-constrained optimization problem (CCOP). The chance-constraints use a parametrized response policy for the control during fluctuations and are reformulated for an efficient solution. The proposed CCOP's solution provides a sequence of control actions at each time-step that coordinates the network switches and DERs to form multiple islanded microgrids. Its effectiveness is evaluated on IEEE 123 node ADN. ....

Active Distribution Network Adn , Istributed Energy Resources Ders , Distribution System Operator Dso ,

"A Cooperative Planning Approach for Resilient Operation of Active Dist" by Ghulam Mohy-Ud-Din, Kashem M. Muttaqi et al.

The resilience of an active distribution network (ADN) is continuously threatened by extreme incidents. Cascading failures are the cause of most large-scale network outages in such events. Planning for resilient ADN operations under catastrophic emergencies is thus necessary for the distribution system operator. Fortunately, grid-edge flexibility can be a valuable tool in enabling resilience. This paper proposes a cooperative planning approach for the optimal partitioning and operation of ADNs with integrated VPPs in the form of multiple interconnected microgrids capable of successful islanded operation. On the grid edge, virtual power plants operate and control the distributed energy resources (DERs) and thus facilitate the ADN operation during emergencies. The uncertainty of the renewable DERs is, however, a challenge. Therefore, the proposed ADN partitioning model is formulated as a stochastic linear programming problem. Further, the operation model is based on the stochastic model ....

Active Distribution Network Adn , Distribution System Operator Dso , Virtual Power Plant Vpp ,

"A Cooperative Planning Framework for Enhancing Resilience of Active Di" by Ghulam Mohy-ud-din, Kashem M. Muttaqi et al.

Extreme incidents can cause diverse and dynamic disruptions to active distribution networks (ADNs). Thus, ADN operators (DNOs) must plan to prepare for and adapt to changes in conditions to withstand and quickly recover from such disruptions. This paper proposes a cooperative planning framework to design optimal microgrids (MGs) in smart ADNs integrated with virtual power plants (VPPs) to quickly reconfigure and recover during such events. The proposed framework has two parts: 1) optimal partitioning of ADNs with integrated VPPs into supply-sufficient MGs; and 2) the scheduling of the partitioned MGs. Since the VPPs are autonomous, a smart DNO and VPP interface and operating model for dynamic operating envelopes (DOEs) is proposed to quantify and integrate the supply capacity of VPPs in the operation of MGs. As part of this framework, three optimization models are formulated including VPP optimization, ADN partitioning, and a partitioned ADN scheduling model, where the uncertainty of r ....

Active Distribution Network Adn , Computational Modeling , Distribution Networks , Oad Modeling , Icrogrid Mg , Reactive Power , Virtual Power Plant Vpp ,