Research
DC1
Host Institution
UCLM
Comparison of different market exchange models for distribution systems in presence of RES, EVs, demand response and storage devices. Several market models will be used: P2P, bilateral and multilateral trades. Expected Results: Application of the market models in distribution networks to realistic test cases to analyse social welfare, benefits of the agents, overall costs, etc.
DC2
Host Institution
UCLM
Development of new mathematical tools for the optimal management of Virtual Power Plants (VPPs) as an aggregation of distributed energy resources, including renewable units, energy storage systems, demands, and electric vehicles (EVs), which operate as a single entity with the aim of optimizing the use of the energy resources in distribution networks. Expected Results: Application of the VPP models in distribution networks to realistic test cases to analyse social welfare, benefits of the agents, overall costs, etc.
DC3
Host Institution
AALTO
Development of new market models to properly activate flexibility and fair electricity tariff models for households and prosumers in distribution networks, focusing on Nordic countries. Use of demand response and EV in the creation of the models. Expected Results: Application of the flexible market models in distribution networks to realistic test cases to analyse social welfare, benefits of the agents, overall costs, etc.
DC4
Host Institution
AALTO
Developing flexibility quantification methods to adequately fulfil the needs of TSOs and DSOs, as well as modelling the P2H and DR in tandem with TSO-DSO interaction. Expected Results: Assessment of flexibility resources and needs, and examining the flexibility needs of DSOs in different trajectories in close interaction with the TSO; understanding the impact of green hydrogen in operation and planning models of TSO-DSO interaction
DC5
Host Institution
AALTO
Development of new partitioning approaches for optimal construction (size, location, and functionality) of integrated community energy systems in distribution networks to enhance flexibility. Use of P2P, new flexibility indices, and different storage devices (flywheel, battery, etc.) in the development of partitioning approaches.
DC6
Host Institution
MINSAIT
Manage the operation and planning of the distribution network in a decentralized way, considering TSO-DSO interaction, P2H, DR, storage devices and EVs. Expected Results: Centralized and decentralized operation and planning models of distribution networks considering the above-mentioned issues.
DC7
Host Institution
UNICA
Data-driven monitoring, combining hardware and software solutions based on information and communications technology (ICT) to be used by the distribution system operator (DSO). Expected Results: Reports and publications on communication infrastructures, data processing and algorithms solutions for distribution networks.
DC8
Host Institution
UNICA
Creation of a co-simulation platform to integrate communication and control strategies in distribution networks. Expected Results: Tests and results of the co-simulation platform
DC9
Host Institution
UNICA
Definition of a secure-by-design Digital Twin (DT) data-driven architecture empowered by IoT technologies to complement distribution networks and enable smart energy communities in which prosumers have an active role. Expected Results: DT ontology definition; architecture design, development and testing; report and publications on the topic.
DC10
Host Institution
UCLM
Edge computing based cyber-attack mitigation framework. Expected Results: A new edge computing framework will be established to minimize the effect of the adversarial and to respond more quickly. To decrease the processing time to take correct counter actions, a decentralized framework will be developed. Single and coordinated cyber-attacks will be explored. Advanced statistical tools will be developed considering the minimum information share between edge computing units.
DC11
Host Institution
ICL
Single-IBR: We will investigate the optimal DVS control to maximize the positive-sequence voltage and minimize the negative-sequence voltage at the PoC.
Multi-IBR: We will develop a unified optimization approach for coordinated dynamic voltage support provided by multiple IBRs to improve the network-wide performance of abnormal voltage ride-through. Expected Results: For single-IBR, we will first formulate the optimal DVS problem as an optimization problem. Then, we will explore the optimum trajectory under different grid parameters. Then, based on the potential binding constraint(s), we will develop the closed-loop extremum seeking controller. For multi-IBR, the problem will be nonlinear and nonconvex. To achieve the computational tractability, we will explore its convex relaxation and rigorously discuss the sufficient condition for the exactness. To further improve the solution efficiency of a large case, we will also investigate the high-performance distributed online solution algorithm of such optimization program with the help of minimum communication costs.
DC12
Host Institution
GCU
Develop a robust voltage regulation strategy for active distribution networks which host appreciable number of stochastic renewable generators or inverter-based resources (IBRs).
Provide reactive power ancillary services from the IBRs to support the legacy voltage controlling devices like the transformer tap changers and capacitors.
Robustly mitigate the voltage violations due to fluctuating active power injections from the IBRs.
Expected Results: Investigation reports and academic journals of the voltage control problem at a network level with many IBRs present in the network. A robust and decentralized algorithm which can mitigate the voltage deviation problem due to the IBR active power fluctuations through local.
DC13
Host Institution
ICL
Cyber-attack detection framework based on edge computing.
Expected Results: Detection and categorization of the cyber-attacks will be explored to increase the situational awareness as well as to initialize the required mitigation strategies. Advanced statistical models will be developed to be integrated into these edge computing units. Privacy of the data/measurement will be also taken into consideration.
