When planning the investment in Microgrids (MGs), usually static security constraints are included to ensure their resilience and ability operate islanded mode. However, unscheduled islanding events may trigger cascading disconnections of Distributed Energy Resources (DERs) inside MG due transient response, leading a partial or full loss load. In this paper, min-max-min, hybrid, stochastic-robust model is proposed obtain resilient considering both High-Impact-Low-Frequency (HILF)...

Dynamic security assessment (DSA) is crucial for ensuring the reliable operation of power systems. However, conventional DSA approaches are becoming intractable future systems, driving interest in more computationally efficient data-driven methods. Efficient dataset generation a cornerstone these While importance and generic sampling techniques often focus on operating points near system's boundary, systematic methods this region remain scarce. Furthermore, impact boundary performance has...

Abstract The growing penetration of Converter‐Interfaced Generators (CIG) in electricity grids has diminished inertia levels. Micro‐Grids (MGs), with their high CIGs, are particularly vulnerable to the reduced levels presenting a challenge secure and reliable operation. MG system planning must now incorporate analysis dynamic security complementing traditional resource adequacy assessments. However, integrating transient constraints into is complex due non‐convex non‐linear nature analytical...

This paper presents a novel synchronization technique which can identify the grid voltage frequency and phase angle under unbalanced conditions. The method combines features of two different energy operator (EO) schemes: basic one for estimating voltages cross-EO tracking. Using moving data window five samples, algorithm track fundamental quickly accurately. discusses principles method, highlights its filter requirements in implementation. An experimental implementation this is presented,...

This paper presents a data-driven two-stage distributionally robust planning tool for sustainable microgrids under the uncertainty of load and power generation renewable energy sources (RES) during horizon. In proposed tool, first-stage investment variables are considered as here-and-now decisions second-stage operation wait-and-see decisions. practice, it is hard to obtain true probability distribution uncertain parameters. Therefore, Wasserstein metric-based ambiguity set presented in this...

Emergency islanding of a microgrid (MG) can be vital in ensuring continuity power supply to local network during major contingencies the main grid. However, such an event will inadvertently cause large voltage transients except trivial case where zero is exchanged. The under/over voltages result disconnection distributed generators within MG, increasing risk blackout. In this paper, we present MG operational optimization strategy that includes dynamic constraints aiming at enhancing...

The resilient operation of microgrids (MGs) relies strongly on their ability to operate in islanded mode, autonomously from the bulk grid, whilst adhering secure requirements. Catastrophic events transmission grid can lead abrupt MG islanding accommodated by large frequency and voltage excursions due power imbalances within MG. It is vital that scheduling algorithms incorporate both static transient security metrics ensure a transition during islanding, immunised against phenomena. In this...

Microgrids (MGs) are usually characterised by reduced inertia that can lead to large transients after an unintentional islanding event. These result in cascaded device disconnections, triggered protections, leading partial of full loss load the MG. In this paper, we propose a MG operational planning model for grid-connected operation, enhanced with fault-triggered conditions ensure survivability (both transient and steady-state) islanding. We consider dynamic frequency behaviour using...

Training Neural Networks able to capture the topology changes of power grid is one significant challenges towards adoption machine learning techniques for N-k security computations and a wide range other operations that involve reconfiguration. As number scenarios increases exponentially with increasing system size this renders such problems extremely time-consuming solve traditional solvers. In paper, we combine Physics-Informed both Guided-Dropout (GD) Network (which associates dedicated...

Embedded with producers, consumers, and prosumers, active Low-Voltage Distribution Networks (LVDNs) bi-directional power flows are rising to over-shadow the investment operation planning in systems. The Optimal Power Flow (OPF) has been extensively used recent years solve different problems LVDNs. However, OPF is inherently a complex non-linear non-convex optimization problem. Hence, linearization convexification models have introduced literature enhance modeling accuracy computational...

The integration of the frequency dynamics into Micro-Grid (MG) investment and operational planning problems is vital in ensuring security system post-contingency states. However, task including transient constraints MG non-trivial. This due to highly non-linear non-convex nature analytical closed form metrics (e.g., nadir) power flow constraints. To handle this issue, paper presents two algorithms for decomposing problem multiple levels enhance computational tractability optimality....

In remote or islanded communities, the use of microgrids (MGs) is necessary to ensure electrification and resilience supply. However, even in small-scale systems, it computationally mathematically challenging design low-cost, optimal, sustainable solutions taking into consideration all uncertainties load demands power generations from renewable energy sources (RESs). This paper uses open-source Python-based Energy Planning (PyEPLAN) tool, developed for MGs areas, on Alderney island, 3$^{rd}$...

When planning the investment in Microgrids (MGs), usually static security constraints are included to ensure their resilience and ability operate islanded mode. However, unscheduled islanding events may trigger cascading disconnections of Distributed Energy Resources (DERs) inside MG due transient response, leading a partial or full loss load. In this paper, min-max-min, hybrid, stochastic-robust model is proposed obtain resilient considering both High-Impact-Low-Frequency (HILF)...

In practice, electrification of remote and islanded communities with no connection to the main grid is entangled many techno-economic issues. These technical more importantly economical challenges often justify use Micro-Grids (MGs) as self-sufficient electrical networks a group controllable/non-controllable consumers producers in areas. However, optimal design sustainable MGs, even small communities, complex optimisation problem due uncertain nature load consumption renewable production...

In remote or islanded communities, the use of microgrids (MGs) is necessary to ensure electrification and resilience supply.However, even in small-scale systems, it computationally mathematically challenging design low-cost, optimal, sustainable solutions taking into consideration all uncertainties load demands power generations from renewable energy sources (RESs).This paper uses open-source Python-based Energy Planning (PyEPLAN) tool, developed for MGs areas, on Alderney island, 3 rd...