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Found 18 papers, 5 papers with code
Stochastic flexibility needs assessment: learnings from H2020 EUniversal's German demonstration
Operational flexibility needs assessment (FNA) is crucial for system operators to plan/procure flexible resources in order to avoid probable network issues.
Smart Energy Network Digital Twins: Findings from a UK-Based Demonstrator Project
Power meter data and a network model are shown to be necessary for developing algorithms that enable decision-making that is robust to real-world uncertainties, with possibilities and challenges of Digital Twin development clearly demonstrated.
Data quality challenges in existing distribution network datasets
Existing digital distribution network models, like those in the databases of network utilities, are known to contain erroneous or untrustworthy information.
Robust dynamic operating envelopes for flexibility operation using only local voltage measurement
With growing intermittency and uncertainty in distribution networks around the world, ensuring operational integrity is becoming challenging.
Exact Modeling of Non-Gaussian Measurement Uncertainty in Distribution System State Estimation
State estimation allows to monitor power networks, exploiting field measurements to derive the most likely grid state.
Consensus based phase connectivity identification for distribution network with limited observability
The phase identification framework based on consensus algorithms for DN zones is scalable for large DN and robust towards measurement errors as the estimation is not dependent on a single measurement point.
Optimal Grid Layouts for Hybrid Offshore Assets in the North Sea under Different Market Designs
To this end a multi-period, stochastic GATE planning formulation is developed for both nodal and zonal market designs.
Unbalanced OPF Modelling for Mixed Monopolar and Bipolar HVDC Grid Configurations
Bipolar HVDC grids can be operated in an unbalanced way during single pole outages or in form of mixed monopolar and bipolar grids.
Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation
To address the challenges that the decarbonization of the energy sector is bringing about, advanced distribution network management and operation strategies are being developed.
Chance constrained day-ahead robust flexibility needs assessment for low voltage distribution network
A framework is required to avoid over or under procurement of flexibility in the presence of uncertainty.
Can locational disparity of prosumer energy optimization due to inverter rules be limited?
To mitigate issues related to the growth of variable smart loads and distributed generation, distribution system operators (DSO) now make it binding for prosumers with inverters to operate under pre-set rules.
Perspectives on distribution network flexible and curtailable resource activation and needs assessment
{A curtailable and flexible resource activation framework for solving distribution network (DN) voltage and thermal congestions is used to quantify three important aspects with respect to modelling low voltage networks.}
Phase Identification of Distribution System Users Through a MILP Extension of State Estimation
To address the challenges and exploit the opportunities that the decarbonization of the energy sector is bringing about, advanced distribution network management and operation strategies are being developed.
Flexible and curtailable resource activation in three-phase unbalanced distribution networks
In this work, we propose a network-state driven framework that distribution system operators (DSOs) can utilize for activating flexible and curtailable resources for alleviating network voltage and thermal issues, while accounting for network voltage and current imbalances.
Congestion Mitigation in Unbalanced Residential Networks with OPF-based Demand Management
From a planning perspective, the results can help the system operator define contractual terms that make a specific congestion mitigation scheme effective and viable.
Low Voltage Customer Phase Identification Methods Based on Smart Meter Data
If power data is available too, the novel ensemble method can improve the accuracy of the phase identification obtained from voltage data alone.
Evaluation of voltage magnitude based unbalance metric for low voltage distribution networks
We observe that phase magnitude-based unbalance metrics reasonably approximate the true unbalance for higher R/X ratios with a varying load power factor in a DN.
A framework for constrained static state estimation in unbalanced distribution networks
State estimation plays a key role in the transition from the passive to the active operation of distribution systems, as it allows to monitor these networks and, successively, to perform control actions.
