Conference Papers

C1 - G. Cipriani, V. Di Dio, D. La Cascia, F. Lo Bue, R. Miceli, G. Sauba & C. Spataro, “Energy Consumption/Generation Model: data collected, architecture conceived and scenarios addressed”, IEEE EnergyCon 2014, Dubrovnik, Croatia, 13 – 16 May 2014.

 

C2 - G. Cipriani, V. Di Dio, L. Ferraris, D. La Cascia, R. Miceli, E. Pošković, G. Sauba, “Energy and Network Models for the Intelligent Control of Distributed Systems”, IEEE PEMC 2014, Antalya, Turkey, 21-24 September 2014. 

C3 - Fabio Viola, Pietro Romano, Rosario Miceli, Diego La Cascia, Michela Longo, Ganesh Sauba, “Economical Evaluation of Ecological Benefits of Demand Side Management”, IEEE ICRERA 2014, Milwaukee, USA, 19 – 22 October 2014.

 

C4 - G. Lyberopoulos, E. Theodoropoulou, I. Mesogiti, P. Makris and E. Varvarigos, “A Highly-Dynamic and Distributed Operational Framework for Smart Energy Networks”, IEEE CAMAD 2014, Athens, Greece, 1-3 December 2014.

 

C6 – V. Botsis, N. Doulamis, A. Doulamis, P. Makris and E. Varvarigos, “Efficient Clustering of RES Microgrids in a Virtual Association for Profit Maximization”, accepted in Special Session on System Design for the Smart Grid (SDSG), 18th Euromicro Conference on Digital System Design, Funchal, Madeira, Portugal, 26-28 August 2015.

 

C7 – V. Botsis, N. D. Doulamis and E. Varvarigos, “Fair Pricing Mechansim for Coalitions in Rural Areas”, submitted in 20th IEEE Symposium on Computers and Communications (ISCC), Larnaca, Cyprus, 6 July 2015.

 

C8 - V. Botsis, N. D. Doulamis, A. D. Doulamis and E. Varvarigos, “Demand Allocation in Local RES Electricity Market among Multiple Microgrids and Multiple Utilities Through Aggregators”, submitted in 20th IEEE Symposium on Computers and Communications (ISCC), Larnaca, Cyprus, 6 July 2015.

 

C9 - J. van der Burgt, G. Sauba, E. Varvarigos and P. Makris, “Demonstration of the Smart Energy Neighbourhood Management System in the VIMSEN Project”, IEEE PowerTech, Eindhoven, The Netherlands, 29 June-2 July 2015.

C10 - G. Lyberopoulos, E. Theodoropoulou, I. Mesogiti, K. Filis, I. Mamounakis, P. Makris, E. Varvarigos, “VIMSEN: A Distributed Architecture for future Energy Market Frameworks”, accepted in 2nd Workshop on Innovative European Policies and Applied Measures for Developing Smart Cities (IPMSC 2015), Rhodes, Greece, 25-28 September 2015.

C11 - D. Vergados, I. Mamounakis, T. Mavridis, P. Makris and E. Varvarigos, “A Virtual Microgrid Platform for the Efficient Orchestration of Multiple Energy Prosumers”, accepted in 19th Panhellenic Conference on Informatics (PCI 2015), Athens, Greece 1-3 October 2015.

 

C12 - G. Lyberopoulos, E. Theodoropoulou, I. Mesogiti and K. Filis, “VIMSEN: A Modular Gateway supporting Decentralised, Virtual Micro-Grid Architectures”, accepted in 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), Guilford, London, UK, 7-9 September 2015.

C13 - G. Sauba, J. van der Burgt, E. Varvarigos, P. Makris and A. Schoofs, “VIMSEN – Smart tool for aggregators”, accepted in 37th IEEE International Telecommunications & Energy Conference (INTELEC), Namba, Osaka, Japan, 18-22 October 2015.

 

C14 - G. Sauba, J. van der Burgt, A. Schoofs, C. Spataro, M. Caruso, F. Viola, R. Miceli, “VIMSEN – Novel Energy Modelling and Forecasting Tools for Smart Energy Networks”, IEEE ICRERA 2015 Conference, 22nd – 25th November 2015, Palermo, Italy.

 

 C15 - C. Mavrokefalidis, D. Ampeliotis, E. Vlachos, K. Berberidis and E. Varvarigos, “Supervised Energy Disaggregation using Dictionary-Based Modelling of Appliance States”, submitted in IEEE Innovative Smart Grid Technologies (ISGT) 2016, Mineapolis, USA, 6-9 September 2016

 

C16 – G. Sauba, J. van der Burgt, E. Varvarigos, P. Makris, I. Mamounakis, D. J. Vergados, “VIMSEN – New Energy Mamagement Tool for RES Aggregators”, submitted in IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EMERGITECH 2016), Mauritius, 1-6 August 2016. 

 

C17 – I. Gravalos, P. Makris, K. Christodoulopoulos, E. Varvarigos, “Efficient and Cost Effective Gateways Placement for Internet of Things Providing QoS”, submitted in IEEE Global Communications Conference (GLOBECOM 2016), Washington, DC, USA, 4-8 December 2016. 

 

C18 – I. Mamounakis, D. J. Vergados, P. Makris, E. Varvarigos, “A Virtual Microgrid Aggregator Platform for Distributed and Small-Scale RES Prosumers’ Management”, submitted in Special Session on Communications and Information Processing in Smart Grid, IEICE Information and Communication Technology Forum (ICTF 2016), Patras, Greece, 6-8 July 2016.

 

C19 - G. Tsaousoglou, P. Makris and E. Varvarigos, "Micro grid scheduling policies, forecasting errors, and cooperation based on production correlation," 2nd IEEE International Conference on Intelligent Green Building and Smart Grid (IGBSG), Prague, 2016, pp. 1-6. doi: 10.1109/IGBSG.2016.7539445

 

C 20- C. Mavrokefalidis, D. Ampeliotis, E. Vlachos, K. Berberidis and E. Varvarigos, “Supervised Energy Disaggregation using Dictionary-Based Modeling of Appliance States”, IEEE Innovative Smart Grid Technologies (ISGT) Europe 2016, Ljubljana, Slovenia, 9-12 October 2016, http://ieeexplore.ieee.org/document/7856277/.

 

C21 - I. Mamounakis, D. J. Vergados, P. Makris, E. Varvarigos, N. Doulamis, “Renewable energy prosumers’ clustering towards target aggregated prosumption profiles based on recursive predictions, accepted in 12th IEEE PES PowerTech Conference, Manchester, UK, 18-22 June 2017.

 

C22 - I. Mamounakis, D. J. Vergados, P. Makris, E. Varvarigos, “Communication costs versus smart grid system performance for energy prosumers' participation in liberalized electricity markets: A trade-off analysis, accepted in 32nd International Union of Radio Science General Assembly & Scientific Symposium (URSI GASS 2017), Special Session on “Communications for the Smart Grid”, to be presented in 19-26 August 2017.

Journal Papers

 

J1 – D. J. Vergados, I. Mamounakis, P. Makris, E. Varvarigos, “Prosumer Clustering into Virtual Microgrids for Cost Reduction in Renewable Energy Trading Markets”, under review in Elsevier Sustainable Energy, Grids and Networks (SEGAN), Feb 2016.

 

J2 – N. Doulamis, A. Doulamis, V. Botsis and E. Varvarigos, “Virtual Associations for Smart Energy Networks”, submitted in IEEE Transactions for Smart Grid.

 

J3 - G. Tsaousoglou, P. Makris, E. Varvarigos, “Effects of Electricity Market Penalty Policy on Aggregator Strategies and the Value of Micro Grids’ Flexibility, Cooperation and Correlation”, under review in Elsevier Sustainable Energy, Grids and Networks (SEGAN), December 2016.

 

J4 - I. Gravalos, P. Makris, K. Christodoulopoulos, E. Varvarigos, “Efficient Network Planning for Internet of Things with QoS Constraints”, under review in IEEE IoT journal, November 2016.

Number

Deliverable Title

Release Date

 

 Link

D2.2

The VIMSEN End-User and System Requirements:It includes the end user and system requirements of the VIMSEN architecture

Month 9  

View D2.2

D2.1.2

The VIMSEN Updated Use Cases:It includes the final use cases of the VIMSEN project as driven by the first outcome of the VIMSEN research

Month 18  

View D2.1.2

D2.3.2 The Updated Overall VIMSEN Architecture and System Specifications Month 26   View D2.3.2

D3.1

Architectural Design and Specifications of VIMSEN Automatic Metering Infrastructure

Month 12  

View D3.1

D3.2    Pattern Analysis and Features’ Extraction    for Single AMRs Month 18   View D3.2
D3.3 Pattern Analysis and Features’ Extraction for Multiple AMRs including security aspects     View D3.3

D4.1

The VIMSEN Communication Infrastructure Design

Month 12  

View D4.1

D4.1.2

The VIMSEN Communication Infrastructure Design

Month 15   

View D4.1.2

D4.2.1 The VIMSEN Communication Infrastructure Month 20   View D4.2.1
D4.2.2 The VIMSEN Communication Infrastructure (Version 2)     View D4.2.2
D4.3 The VIMSEN Gateway Infrastructure     View D4.3

D5.1

The VIMSEN Information and Cloud Computing Architecture Design

Month 15  

View D5.1

D5.2.1 The VIMSEN Forecasting and Modelling Toolkit Month 15   View D5.2.1
D5.2.2 The VIMSEN Forecasting & Modelling Toolkit (Version2)     View D5.2.2
D5.3.1 The VIMSEN Integrated Decision Making and CC Infrastructure  Month 22   View D5.3.1
D5.3.2 The VIMSEN Integrated Decision Making and Cloud Computing Infrastructure: Toolkit for the Dynamic Creation of the Virtual Micro-Grids (version 2)     View D5.3.2

D6.1

VIMSEN Active Energy Management and Control Design

Month 15  

View D6.1

D6.2 The VIMSEN Knowledge Base Architecture  Month 18   View D6.2
D6.3 The VIMSEN Active Energy Management Toolkits     ViewD6.3
D6.4 The Recommendation System for Long Term Energy Management     ViewD6.4

D7.1

Validation Plan

Month 12   

View D7.1

D7.2.1 First Integrtion and Validation Activities  Month 24   View D7.2.1 
D7.2.2 Second Integration and Validation Activities     ViewD7.2.2

D8.2.2

Intermediate Version of Business Models and Pricing Mechanisms within  the Virtual Microgrids

Month 20  

View D8.2.2

D8.2.3

Final proposed VIMSEN business Models and pricing policies

   

View D8.2.3

D8.3.2

Final VIMSEN Exploitation Plan

   

ViewD8.3.2

D8.4

The Report of the VIMSEN Dissemination and Standardization Activities

   

View D8.4

D8.5

VIMSEN Roadmap Towards HORIZON 2020

   

View D8.5

D9.1

Pilot Testing Plan and Set-Up

   

View D9.1

D9.2

Pilot testing results and project assesement

   

ViewD9.2

PS1

Publishable Summary of Year 1 Progress

Month 13   

View PS1

PS2 Publishable Summary of Year 2 Progress Month 25   View PS2

 

 

To achieve VIMSEN objectives, the project adopts an iterative research methodology and corresponding WP structure. The main research technologies of the project are illustrated (figure above) along with the main research project structure (WPs). The research WPs are framed by: i) the project management (WP1), ii) the VIMSEN use cases, requirements and architecture design (WP2), iii) the evaluation test-bed framework that provides information on how to pilot test and validate the proposed concept, and iv) the dissemination, exploitation and standardization activities. WPs 3-6 constitute horizontal research and development activities setting up VIMSEN sub-frameworks, namely: i) data acquisition and sensing (WP3), ii) communication (WP4), iii) information and decision making (WP5), and iv) active energy management (WP6). 

In the traditional business model, the energy producers sell their energy resources centrally. Instead, in the proposed VIMSEN business model, small energy producers have the flexibility of either: i) re-distributing energy resources with each other to compensate energy production-demand differences, or ii) directly participating in the electricity market through the respective association, which is a big power generator unit. Towards this framework, new business models should be developed to investigate the trade-off between the benefits of the association and the cost of the technologies needed to establish this association.

In this project, we research on ICT technologies that allow the creation of Virtual Micro-Grids (VMGs) under a highly dynamic and distributed framework. Virtual Micro-Grids are dynamic associations of multiple micro-grids operating under a common information and communication framework that allows efficient energy management and control.

The concept of the VMG revolutionizes the way we think about the smart energy grid towards Horizon 2020. In particular, in the following, we present the main advantages of the proposed idea of creating dynamic virtual micro-grids in the smart energy grid.

  1. VMGs, which are collections of multiple distributed micro-grids, contribute significant amounts of energy that may be comparable to those of conventional energy production plants and can therefore easily participate into the electricity market.
  2. Within a VMG, better energy management and load balancing is accomplished, since the energy gap of one micro-grid can be compensated by the energy leftovers of another micro-grid.
  3. VMGs promote the use of renewable energy sources into the main energy grid, since a micro-grid is usually composed of renewable energy sources, and the creation of dynamic associations of them gives added value to their usage.
  4. VMGs give added value to the main energy distributor (such as PPC), which was required to design networks to operate at maximum energy load. The additional energy requests can be delivered through the VMGs which now encourage their members to participate into the electricity energy market.
  5. VMGs open the market of electric energy. Now, distributed energy sources can be sold not only to the public energy distributors, but each individual energy owner can sell/buy energy to/from other individual owners. This way we break the monopolar knot of the energy distributor through which all energy sale acts should be performed.
  6. VMGs are beneficial not only to the main electricity network but also to main electricity utlities (such as PPC), who will now be able to enjoy smaller energy prices, better energy control and load balancing.

The main research activities and the respective WP structure of VIMSEN

  1. Project Name: Virtual Microgrids for Smart Energy Networks
  2. Acronym: VIMSEN
  3. Call identifier: FP7-ICT-2013-11
  4. ProjectType: STREP
  5. Grant Agreement Number: 619547
  6. Project Coordinator: Computer Technology Institute & Press Diophantus - CTI
  7. Duration: 36 months
  8. Number of Partners: 8
  9. Funding from the EC: 2,247,000.00 €
  10. Total Budget from the EC: 3,331.399.00 €
  11. Start Date: 3rd February 2014
  12. End Date: 31st January 2017