A decentralized load control architecture for smart energy consumption in small islands

Abstract In this paper we propose the adoption of Overgrid, a new decentralized load control architecture, for balancing the energy production variations introduced with the adoption of renewable sources, facilitating and improving the smart energy retrofit. The system is presented and applied for managing the aggregated daily load profile of a community of domestic end-users in the island of Lampedusa, Italy, exploiting the load profiles gathered in a real measurement campaign. The Overgrid Demand Response (DR) architecture is used for managing the residential flexible loads, estimating the aggregated power demand without any centralized server and creating a virtual “community” of smart buildings in the small island. Two different control schemes are applied considering load curtailing and load shifting in presence of significant variations of the electricity production in the island. Our simulation experiments show how the proposed architecture, without any centralized control, is able to contrast such events and, thanks to load shifting actions, guarantees also a minimum discomfort for the end-users, opening the path to substantial smart energy retrofit of small island communities.

[1]  Pravat Kumar Rout,et al.  Autonomous microgrid operation subsequent to an anti-islanding scheme , 2018 .

[2]  Gaetano Zizzo,et al.  Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios , 2014 .

[3]  Anne-Marie Kermarrec,et al.  Gossiping in distributed systems , 2007, OPSR.

[4]  Peng Xu,et al.  Measures to improve energy demand flexibility in buildings for demand response (DR): A review , 2018, Energy and Buildings.

[5]  Xiaojun Liu,et al.  Optimal design and cost allocation of a distributed energy resource (DER) system with district energy networks: A case study of an isolated island in the South China Sea , 2019, Sustainable Cities and Society.

[6]  Jean-Laurent Duchaud,et al.  An Advanced Forecasting System for the Optimum Energy Management of Island Microgrids , 2019, Energy Procedia.

[7]  Stavros A. Papathanassiou,et al.  Generation scheduling in non-interconnected islands with high RES penetration , 2018 .

[8]  G. Zizzo,et al.  ICT applications for improving the generation and distribution efficiency of a small mediterranean island , 2016, 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC).

[9]  Gaetano Zizzo,et al.  Smart renewable generation for an islanded system. Technical and economic issues of future scenarios , 2012 .

[10]  S. Favuzza,et al.  A bottom-up approach for the evaluation of the flexible quota of aggregated loads , 2015, 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC).

[11]  L. de Santoli,et al.  Analysing economic and environmental sustainability related to the use of battery and hydrogen energy storages for increasing the energy independence of small islands , 2018, Energy Conversion and Management.

[12]  D. Astiaso Garcia,et al.  Synergy between smart energy systems simulation tools for greening small Mediterranean islands , 2019, Renewable Energy.

[13]  Ong Hang See,et al.  A review of residential demand response of smart grid , 2016 .

[14]  P. S. Almeida,et al.  Flow updating: Fault-tolerant aggregation for dynamic networks , 2015, J. Parallel Distributed Comput..

[15]  Massimo Pompili,et al.  Steel reinforced concrete electrodes for HVDC submarine cables , 2018, Electric Power Systems Research.

[16]  L. Rouco,et al.  A Method for the Design of UFLS Schemes of Small Isolated Power Systems , 2012, IEEE Transactions on Power Systems.

[17]  Joel J. P. C. Rodrigues,et al.  Energy meters evolution in smart grids: A review , 2019, Journal of Cleaner Production.

[18]  J. Firestone,et al.  Power transmission: Where the offshore wind energy comes home , 2018, Environmental Innovation and Societal Transitions.

[19]  Gaetano Zizzo,et al.  Impact of building automation control systems and technical building management systems on the energy performance class of residential buildings: An Italian case study , 2014 .

[20]  Mohamad Abedini,et al.  Energy management and control policies of the islanded microgrids , 2018 .

[21]  Yuan-Kang Wu,et al.  Frequency Support by Demand Response – Review and Analysis , 2019, Energy Procedia.

[22]  F. Magnago,et al.  Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market , 2015 .

[23]  Eleni Zafeiratou,et al.  Sustainable island power system – Scenario analysis for Crete under the energy trilemma index , 2018, Sustainable Cities and Society.

[24]  Yonghong Kuang,et al.  A review of renewable energy utilization in islands , 2016 .

[25]  Luis Rouco,et al.  Island Power Systems , 2016 .

[26]  P. Warren A review of demand-side management policy in the UK , 2014 .

[27]  Ilenia Tinnirello,et al.  Overgrid: A Fully Distributed Demand Response Architecture Based on Overlay Networks , 2017, IEEE Transactions on Automation Science and Engineering.

[28]  Ignacio Zabalza Bribián,et al.  Information and Communications Technologies (ICTs) for energy efficiency in buildings: Review and analysis of results from EU pilot projects , 2016 .

[29]  Yongli Wang,et al.  Energy management of smart micro-grid with response loads and distributed generation considering demand response , 2018, Journal of Cleaner Production.