TY - GEN
T1 - Framework for the integration of active tertiary prosumers into a smart distribution grid
AU - Jimeno, Joseba
AU - Ruiz, Nerea
AU - Tryferidis, Thanasis
AU - Tzovaras, Dimitrios
AU - Tsatsakis, Konstantinos
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/14
Y1 - 2015/9/14
N2 - This paper describes the approach taken in the collaborative project INERTIA [1] with the objective of introducing the Internet of Things-Services principles for enabling Demand Response (DR) operations. Nowadays, the continuously increasing presence of distributed intermittent energy sources along with inelasticity of demand pose significant challenges and undoubtedly have considerably negative impact on the overall operation of the electricity grid. Furthermore, the energy market is considered as inherently incomplete and imperfectly competitive mainly due to the characteristics and special nature of the commodity of power. Demand Side Management (DSM) as a supportive mechanism for grid operation and market participation, has the unleashed capacity to overcome some of the major barriers of controlling supply and demand becoming a powerful tool at the hands of Distribution Grid Operators as well as other market stakeholders. The proposed approach uses advanced and innovative Distributed Energy Resources (DER) models, occupancy prediction mechanisms, users' preferences extraction algorithms and DER monitoring and control technologies for making it possible to provide high volumes of demand flexibility without impacting on final user's comfort and DER utility levels. The demand flexibility made available at building level is then aggregated in order to offer significant flexibility volumes with high reliability degree to Distribution System Operators (DSOs) and other energy stakeholders.
AB - This paper describes the approach taken in the collaborative project INERTIA [1] with the objective of introducing the Internet of Things-Services principles for enabling Demand Response (DR) operations. Nowadays, the continuously increasing presence of distributed intermittent energy sources along with inelasticity of demand pose significant challenges and undoubtedly have considerably negative impact on the overall operation of the electricity grid. Furthermore, the energy market is considered as inherently incomplete and imperfectly competitive mainly due to the characteristics and special nature of the commodity of power. Demand Side Management (DSM) as a supportive mechanism for grid operation and market participation, has the unleashed capacity to overcome some of the major barriers of controlling supply and demand becoming a powerful tool at the hands of Distribution Grid Operators as well as other market stakeholders. The proposed approach uses advanced and innovative Distributed Energy Resources (DER) models, occupancy prediction mechanisms, users' preferences extraction algorithms and DER monitoring and control technologies for making it possible to provide high volumes of demand flexibility without impacting on final user's comfort and DER utility levels. The demand flexibility made available at building level is then aggregated in order to offer significant flexibility volumes with high reliability degree to Distribution System Operators (DSOs) and other energy stakeholders.
KW - Demand Response
KW - Distribution Grid Operation
KW - Internet of Things
KW - Self-Organized Networks
KW - Semantically Enhanced DERs
UR - http://www.scopus.com/inward/record.url?scp=84947233474&partnerID=8YFLogxK
U2 - 10.1109/PowerEng.2015.7266329
DO - 10.1109/PowerEng.2015.7266329
M3 - Conference contribution
AN - SCOPUS:84947233474
T3 - International Conference on Power Engineering, Energy and Electrical Drives
SP - 257
EP - 262
BT - 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings
PB - IEEE Computer Society
T2 - 5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015
Y2 - 11 May 2015 through 13 May 2015
ER -