TY - GEN
T1 - Contract for difference (CfD) energy decomposition model for maximizing social benefit in electricity market
AU - Nie, Zelin
AU - Gao, Feng
AU - Wu, Jiang
AU - Guan, Xiaohong
AU - Liu, Kun
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/27
Y1 - 2016/9/27
N2 - During a process of energy transaction in electricity market, in order to ensure electrical safety and prevent excessively quick growth of electricity price, the concept of contract for difference (CfD) is introduced. Considering the electricity characteristics of large consumers, this paper is in the views of both generators and large consumers which sign CfDs with Grid Corporation respectively, but the signed CfDs only set rules for contract price and total contract energy in settlement period. Because market prices are different at different period, the total contract energy should be decomposed to each period for settlement of CfDs. So a CfD energy decomposition model, whose objective is to maximize social benefit, is built to settle the CfDs at each period. After running the model, the optimal result which means maximal social benefit is obtained and it is 28.1% more than that by average decomposition.
AB - During a process of energy transaction in electricity market, in order to ensure electrical safety and prevent excessively quick growth of electricity price, the concept of contract for difference (CfD) is introduced. Considering the electricity characteristics of large consumers, this paper is in the views of both generators and large consumers which sign CfDs with Grid Corporation respectively, but the signed CfDs only set rules for contract price and total contract energy in settlement period. Because market prices are different at different period, the total contract energy should be decomposed to each period for settlement of CfDs. So a CfD energy decomposition model, whose objective is to maximize social benefit, is built to settle the CfDs at each period. After running the model, the optimal result which means maximal social benefit is obtained and it is 28.1% more than that by average decomposition.
UR - https://www.scopus.com/pages/publications/84991666140
U2 - 10.1109/WCICA.2016.7578341
DO - 10.1109/WCICA.2016.7578341
M3 - 会议稿件
AN - SCOPUS:84991666140
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 2449
EP - 2454
BT - Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th World Congress on Intelligent Control and Automation, WCICA 2016
Y2 - 12 June 2016 through 15 June 2016
ER -