TY - GEN
T1 - Transmission planning considering spatial correlation of wind power
AU - Zhang, Yue
AU - Wang, Xiuli
AU - Wu, Xiong
AU - Zeng, Pingliang
AU - Shi, Haobo
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - Due to similar meteorological conditions, neighboring wind farm outputs are correlated, which usually results in amplified uncertainty. However, wind power is assumed to be independent in traditional transmission planning, causing potential risks in wind integration and power system security. This paper initially proposes a transmission planning approach considering correlation of wind power. The spatial dependence of neighboring wind farm outputs is modeled by Copula theory. Then, a transmission planning method is established based on multi-scenario model of correlated wind power and is further solved by generic algorithm. Validity of the proposed method is tested on Garver 6-bus system. Numerical results show that transmission extension plan is affected by wind correlation. The transmission line between wind connection sites is avoided to prevent amplified negative effects of dependent wind power. Compared with traditional planning, the proposed method shows similar economic performance in total cost, with increasing transmission investment and reducing operation cost.
AB - Due to similar meteorological conditions, neighboring wind farm outputs are correlated, which usually results in amplified uncertainty. However, wind power is assumed to be independent in traditional transmission planning, causing potential risks in wind integration and power system security. This paper initially proposes a transmission planning approach considering correlation of wind power. The spatial dependence of neighboring wind farm outputs is modeled by Copula theory. Then, a transmission planning method is established based on multi-scenario model of correlated wind power and is further solved by generic algorithm. Validity of the proposed method is tested on Garver 6-bus system. Numerical results show that transmission extension plan is affected by wind correlation. The transmission line between wind connection sites is avoided to prevent amplified negative effects of dependent wind power. Compared with traditional planning, the proposed method shows similar economic performance in total cost, with increasing transmission investment and reducing operation cost.
KW - Correlation
KW - Genetic algorithm
KW - Probabilistic method
KW - Transmission planning
KW - Wind energy
UR - https://www.scopus.com/pages/publications/85028763223
U2 - 10.1109/TDCLLM.2016.8013227
DO - 10.1109/TDCLLM.2016.8013227
M3 - 会议稿件
AN - SCOPUS:85028763223
T3 - Proceedings of the IEEE International Conference on Transmission and Distribution Construction and Live Line Maintenance, ESMO
BT - 2016 IEEE PES 13th International Conference on Transmission and Distribution Construction, Operation and Live-Line Maintenance, ESMO 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE PES International Conference on Transmission and Distribution Construction, Operation and Live-Line Maintenance, ESMO 2016
Y2 - 12 September 2016 through 15 September 2016
ER -