TY - GEN
T1 - Congestion Management in Interconnected Microgrids for P2P Energy Trading Integrated with ESS
AU - Ajitha, S.
AU - Yazhini, S.
AU - Priyadharsen, Sridharan
AU - Narayanan, K.
AU - Sharma, Anurag
AU - Sharma, Gulshan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Peer-to-peer (P2P) energy trading allows bilateral energy transaction for utilization of flexible energy resources. It facilitates trading of surplus power generated by DGs to other prosumers interconnected microgrids. While performing P2P trading in the interconnected system any kind of stressed situation can lead to a congestion in the transmission system. Considering the amount of generation and load profile of the microgrids, optimal size of ESS is placed in the optimal location within the microgrid. ESS can store the excess energy produced and trade it to transmission system when the congestion is created in the system. The IEEE 30 bus system is considered as transmission system in which three IEEE 33 bus system as microgrids are being integrated at different locations. Load flow analysis is performed for different cases using MATLAB software. The reduction of congestion in the transmission line is observed when it is managed using ESS within the microgrids.
AB - Peer-to-peer (P2P) energy trading allows bilateral energy transaction for utilization of flexible energy resources. It facilitates trading of surplus power generated by DGs to other prosumers interconnected microgrids. While performing P2P trading in the interconnected system any kind of stressed situation can lead to a congestion in the transmission system. Considering the amount of generation and load profile of the microgrids, optimal size of ESS is placed in the optimal location within the microgrid. ESS can store the excess energy produced and trade it to transmission system when the congestion is created in the system. The IEEE 30 bus system is considered as transmission system in which three IEEE 33 bus system as microgrids are being integrated at different locations. Load flow analysis is performed for different cases using MATLAB software. The reduction of congestion in the transmission line is observed when it is managed using ESS within the microgrids.
KW - Distributed Generation
KW - Energy Storage System
KW - Peer to Peer
UR - http://www.scopus.com/inward/record.url?scp=85146872937&partnerID=8YFLogxK
U2 - 10.1109/ISGTAsia54193.2022.10003550
DO - 10.1109/ISGTAsia54193.2022.10003550
M3 - Conference contribution
AN - SCOPUS:85146872937
T3 - Proceedings of the 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022
SP - 670
EP - 674
BT - Proceedings of the 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022
Y2 - 1 November 2022 through 5 November 2022
ER -