TY - GEN
T1 - Optimization for Penalty Cost in Electricity Trading Using Energy Dispatching between Aggregators
AU - Gui, Junping
AU - Liu, Zheng
AU - Cheng, Xueting
AU - Wen, Haoran
AU - Zhou, Botao
AU - Bao, Yueshuang
AU - Song, He
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In the future retail electricity market, deviation penalties will be one of the largest challenges faced by energy aggregators, directly impacting their profitability. With the objective of minimizing the penalty cost, an energy deviation optimization method is proposed to optimize the assessed energy deviation amount with a mutual energy dispatching strategy among energy aggregators. The model considers the status of interruptible loads, expected interruption upper limits, interruption quantities, and the transfer of electricity of the aggregators under both day-ahead and real-time scenarios. Simulations conducted with different energy aggregators, representing different load types, demonstrate that the proposed method can effectively reduce energy deviations and associated penalty costs, with an average reduction of 16.6% in total costs compared to that without mutual energy dispatching.
AB - In the future retail electricity market, deviation penalties will be one of the largest challenges faced by energy aggregators, directly impacting their profitability. With the objective of minimizing the penalty cost, an energy deviation optimization method is proposed to optimize the assessed energy deviation amount with a mutual energy dispatching strategy among energy aggregators. The model considers the status of interruptible loads, expected interruption upper limits, interruption quantities, and the transfer of electricity of the aggregators under both day-ahead and real-time scenarios. Simulations conducted with different energy aggregators, representing different load types, demonstrate that the proposed method can effectively reduce energy deviations and associated penalty costs, with an average reduction of 16.6% in total costs compared to that without mutual energy dispatching.
KW - cost optimization
KW - electricity trading
KW - energy aggregator
KW - energy dispatching
UR - http://www.scopus.com/inward/record.url?scp=85216523980&partnerID=8YFLogxK
U2 - 10.1109/ICSGSC62639.2024.10813828
DO - 10.1109/ICSGSC62639.2024.10813828
M3 - Conference Proceeding
AN - SCOPUS:85216523980
T3 - 2024 8th International Conference on Smart Grid and Smart Cities, ICSGSC 2024
SP - 304
EP - 308
BT - 2024 8th International Conference on Smart Grid and Smart Cities, ICSGSC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Smart Grid and Smart Cities, ICSGSC 2024
Y2 - 25 October 2024 through 27 October 2024
ER -