TY - GEN
T1 - Optimizing the Probabilistic Spinning Reserve for the Interconnected System
T2 - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
AU - Yao, Li
AU - Wang, Xiuli
AU - Zhang, Yue
AU - Wang, Yifei
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/21
Y1 - 2018/12/21
N2 - Spinning reserve (SR) is an important resource used by system operators to handle against the contingency. With the increase of cross-border trading, sharing spinning reserve capacity among interconnected areas is important for improving the economic efficiency and reliability, especially for China where the energy and electric demand distribute unevenly. To allocate the SR requirement among interconnected areas in a reasonable way, a model for optimizing the probabilistic SR requirement of the interconnected system is proposed in this paper. The SR requirement is determined by minimizing the total cost including operation cost and expected interruption cost. To overcome the difficulty of calculating expected energy not supplied (EENS) at each hour, a piecewise linearization method is introduced to approximate EENS. To model the ratio of SR requirement between areas, auxiliary binary variables are introduced together with the big-M method. The efficiency of the proposed method is verified by two-area IEEE-RTS system. The benefit of sharing SR requirement in the interconnected system is studied and the effect of transmission capability of tie-line on the optimal SR allocation is also investigated.
AB - Spinning reserve (SR) is an important resource used by system operators to handle against the contingency. With the increase of cross-border trading, sharing spinning reserve capacity among interconnected areas is important for improving the economic efficiency and reliability, especially for China where the energy and electric demand distribute unevenly. To allocate the SR requirement among interconnected areas in a reasonable way, a model for optimizing the probabilistic SR requirement of the interconnected system is proposed in this paper. The SR requirement is determined by minimizing the total cost including operation cost and expected interruption cost. To overcome the difficulty of calculating expected energy not supplied (EENS) at each hour, a piecewise linearization method is introduced to approximate EENS. To model the ratio of SR requirement between areas, auxiliary binary variables are introduced together with the big-M method. The efficiency of the proposed method is verified by two-area IEEE-RTS system. The benefit of sharing SR requirement in the interconnected system is studied and the effect of transmission capability of tie-line on the optimal SR allocation is also investigated.
KW - Interconnected system
KW - Piecewise linearization method
KW - Probabilistic spinning reserve
UR - https://www.scopus.com/pages/publications/85060796314
U2 - 10.1109/PESGM.2018.8586556
DO - 10.1109/PESGM.2018.8586556
M3 - 会议稿件
AN - SCOPUS:85060796314
T3 - IEEE Power and Energy Society General Meeting
BT - 2018 IEEE Power and Energy Society General Meeting, PESGM 2018
PB - IEEE Computer Society
Y2 - 5 August 2018 through 10 August 2018
ER -
