TY - GEN
T1 - P2P Energy Trading with Decentralized Energy Storage Embedded Network Loss
AU - Saini, Vikash Kumar
AU - Kumar, Rajesh
AU - Al-Sumaiti, Ameena S.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The deployment of distributed energy sources (DES), has transformed ordinary consumers into active par-ticipants in the local energy market (LEM). Digitalization of distribution system and Peer-to-peer (P2P) energy trading is a new paradigm introduced by this development. However, the design of policy and guidelines for trading of energy in LEM is still in its infancy. This research offers a P2P energy trading model for residential community in response to the growing complexity of the market structure and decision-making techniques. In order to do this, a mathematical model is offered, together with the guidelines for purchasing and selling energy. This study uses the historical demand, PV generation and price profiles of the Indian residential community to suggest a trading platform with PV power penetration of 56.57% of the average demand. Five scenarios are compared to the baseline scenario (neither PV nor storage) for P2P trading and energy storage flexibility. Results have demonstrated that the interaction between storage and P2P trading has reduced the community's grid power consumption bills by 67.12%.
AB - The deployment of distributed energy sources (DES), has transformed ordinary consumers into active par-ticipants in the local energy market (LEM). Digitalization of distribution system and Peer-to-peer (P2P) energy trading is a new paradigm introduced by this development. However, the design of policy and guidelines for trading of energy in LEM is still in its infancy. This research offers a P2P energy trading model for residential community in response to the growing complexity of the market structure and decision-making techniques. In order to do this, a mathematical model is offered, together with the guidelines for purchasing and selling energy. This study uses the historical demand, PV generation and price profiles of the Indian residential community to suggest a trading platform with PV power penetration of 56.57% of the average demand. Five scenarios are compared to the baseline scenario (neither PV nor storage) for P2P trading and energy storage flexibility. Results have demonstrated that the interaction between storage and P2P trading has reduced the community's grid power consumption bills by 67.12%.
KW - Decentral-ized energy storage
KW - Energy market
KW - P2P energy trading
UR - http://www.scopus.com/inward/record.url?scp=85152371735&partnerID=8YFLogxK
U2 - 10.1109/PEDES56012.2022.10080366
DO - 10.1109/PEDES56012.2022.10080366
M3 - Conference contribution
AN - SCOPUS:85152371735
T3 - 10th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2022
BT - 10th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2022
Y2 - 14 December 2022 through 17 December 2022
ER -