Locations and general description

ELIN VERD in collaboration with Makryammos Hotel will provide a demo site in Thasos (Greece) operating at MV and LV. The hotel is in a transformation process in becoming a “green hotel” whose assets will comprise a central photovoltaic plant, charging points for Electric Vehicles (EVs), one centralized and various battery storage units, and a wind turbine. The absolute power output capacity range is 35 kw of flexibility: The contribution of RES to the grid is 50 kW out of 450 kW maximum demand = 11.1%. Also, an autonomous 5 kw wind turbine is soon to be installed to supply a lighting system. The fossil side is based on grid mix as it is a connected area, with an available backup generator. There is an available substation of 630 kVA with Dyn 11 transformer. Current protections are Sepam overcurrent protection schemes from Schneider Electric.


Coordination of Distributed Energy Resources (DER) including renewables and storage with the aim to maximise the benefit for the owner while ensuring optimal operation for the local grid.

Support the local network using blackout support capabilities of local, distributed storage systems for critical loads.

Reduce the impact on the upstream distribution network and in turn minimise the grid costs for the owner.


Holistic energy system optimization and emulation for commercial and residential customers


  • The process will commence with an initial requirements and specifications development for the definition of the appropriate algorithms required for energy production forecasting and load forecasting. Statistical and machine learning techniques will be reviewed and the chosen algorithms will be developed and tested using real data from the pilot (PV and load) for short term and medium term forecasting
  • A scheduling routine will be designed and developed that takes into account the output of the forecasting algorithms with the aim to control in real time the flexible resources and (a) minimize energy costs during grid connected operation and (b) minimize the curtailment of critical loads during blackouts
  • A user interface will be developed and tested to include the functionalities and enable the energy manager to monitor in real time the performance of the local energy system through appropriate KPIs, perform manual control when required and obtain analytics and insights on performance of the energy system
  • Define prominent ownership and operation scenarios for energy communities
  • Identify and record monitoring and control requirements, trade-offs and risks associated with techniques for maximising community benefits
  • Develop business case framework with operational scenarios variants and appropriate sensitivity analysis
  • Develop charging and settlement processes analysis and recommendations
  • Test prominent business case variants using real data from the pilot.

Microgrid congestion management and peak shaving


  • Identification of variable charges regimes in electricity markets for commercial customers for active and reactive power and definition of specifications for controlling active and reactive power from flexible source with the aim to minimize network charges
  • Definition of requirements for DSO initiated control for active and reactive power at pre-defined network points (e.g. connection point) with ramp rates, duration and output of response, etc.
  • Development of interfaces and control routines with baseline and performance evaluation metrics
  • Testing and verification of developed routines
  • Development of policy and regulation recommendations based on comprehensive analysis using data and processes of real world test cases.