Communication Materials

Brand Visual Identity

Logo, colors and application.

Project video


Project Leaflet 

Project Roll-up Banner

Public Deliverables

D1.1 Project Handbook

Overview of the project management structure and infrastructure.

D1.2 Data Management Plan

D8.8 Visual identity, project website and social network accounts

Visual identity and communication platforms created for the project. 

Project Resources

Power system resilience during 2001–2022: A bibliometric and correlation analysis

Journal: Renewable and Sustainable Energy Reviews | Volume 188, December 2023, 113862

Authors: Balaji V. Venkatasubramanian, Mathaios Panteli (University of Cyprus)

other resources


AC cascading failure model based on MATPOWER for resilience analysis of power networks. Co-developed by University of Cyprus and University of Manchester.


A dynamic cascading failure simulation platform implemented in DIgSILENT PowerFactory via the Python API. It automatically develops cascading mechanisms, simulates sets of failure scenarios and processes results, and also has good scalability such that it can be easily applied to any power system model. Co-developed by University of Cyprus and University of Manchester.

PowerModels.jl Documentation

PowerModels.jl is a Julia/JuMP package for Steady-State Power Network Optimization. It provides utilities for parsing and modifying network data (see PowerModels Network Data Format for details), and is designed to enable computational evaluation of emerging power network formulations and algorithms in a common platform.


PowerModelsACDC.jl is a Julia/JuMP/PowerModels package with models for DC lines, meshed DC networks, and AC DC converters. Building upon the PowerModels architecture, the code is engineered to decouple problem specifications (e.g. Power Flow, Optimal Power Flow, …) from the power network formulations (e.g. AC, DC-approximation, SOC-relaxation, …).


FlexPlan.jl is a Julia/JuMP package to carry out transmission and distribution network planning considering AC and DC technology, storage and demand flexibility as possible expansion candidates. Using time series input on renewble generation and demand, as well a list of candidates for grid expansion, a mixed-integer linear problem is constructed which can be solved with any commercial or open-source MILP solver.