TY - GEN
T1 - Long-Term Cross-border Electricity Trading Considering the Uncertainty of Wind Power
AU - Hou, Yunting
AU - Bie, Zhaohong
AU - Ding, Tao
AU - Liu, Shiyu
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - The improvement of wind power technology and the promotion of the Global Energy Internet Project, provide technical supports and platform for cross-border trading. However, the uncertainty of wind power and the specific feature of cross-border power market are the key points of trading mechanism design. Based on this, this paper proposes a long-term cross-border electricity trading model considering the uncertainty of wind power. First, annual transaction results among countries considering political factors are obtained according to the declared data of bidders; Scenario reduction algorithm is applied to deal with wind power data, and then trading contract of multi-stage and multi scenario is obtained. Finally, the case study results of multinational power market in Northeast Asia show that the trading model designed in this paper is feasible to the cross-border electricity trading with wind power.
AB - The improvement of wind power technology and the promotion of the Global Energy Internet Project, provide technical supports and platform for cross-border trading. However, the uncertainty of wind power and the specific feature of cross-border power market are the key points of trading mechanism design. Based on this, this paper proposes a long-term cross-border electricity trading model considering the uncertainty of wind power. First, annual transaction results among countries considering political factors are obtained according to the declared data of bidders; Scenario reduction algorithm is applied to deal with wind power data, and then trading contract of multi-stage and multi scenario is obtained. Finally, the case study results of multinational power market in Northeast Asia show that the trading model designed in this paper is feasible to the cross-border electricity trading with wind power.
KW - cross-border electricity trading
KW - scenario reduction
KW - stochastic programing.
KW - uncertainty
KW - wind power
UR - https://www.scopus.com/pages/publications/85061707888
U2 - 10.1109/POWERCON.2018.8602305
DO - 10.1109/POWERCON.2018.8602305
M3 - 会议稿件
AN - SCOPUS:85061707888
T3 - 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings
SP - 788
EP - 793
BT - 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Power System Technology, POWERCON 2018
Y2 - 6 November 2018 through 9 November 2018
ER -