TY - JOUR
T1 - Optimized Energy Management Strategy for Wind Plants with Storage in Energy and Reserve Markets
AU - González-Garrido, Amaia
AU - Villarreal, Igor
AU - Gaztanaga, Haizea
AU - Saez-De-Ibarra, Andoni
AU - Eguia, Pablo
N1 - Publisher Copyright:
© 2019 Published under licence by IOP Publishing Ltd.
PY - 2019/5/21
Y1 - 2019/5/21
N2 - This paper addresses the joint operation of wind plants with energy storage systems in multiple markets to increase the value of wind energy from an economic and technical point of view. The development of an optimized energy management allows scheduling the wind generation in energy markets, as well as contributing to the system stability through the joint participation in frequency ancillary services. The market optimization maximizes market revenues considering overall storage costs, while avoiding energy imbalances and market penalties. Moreover, wind power fluctuations, forecast errors and real-time reserve requirements are controlled by the energy storage system and managed afterward through the participation in continuous intraday market. Furthermore, model predictive control approach enables a high compliance of reserve requirements and a huge reduction of energy imbalances in real-time operation. Different energy storage capacities are selected in order to evaluate their cost-effectiveness enhancing the wind plant operation under the considered study case.
AB - This paper addresses the joint operation of wind plants with energy storage systems in multiple markets to increase the value of wind energy from an economic and technical point of view. The development of an optimized energy management allows scheduling the wind generation in energy markets, as well as contributing to the system stability through the joint participation in frequency ancillary services. The market optimization maximizes market revenues considering overall storage costs, while avoiding energy imbalances and market penalties. Moreover, wind power fluctuations, forecast errors and real-time reserve requirements are controlled by the energy storage system and managed afterward through the participation in continuous intraday market. Furthermore, model predictive control approach enables a high compliance of reserve requirements and a huge reduction of energy imbalances in real-time operation. Different energy storage capacities are selected in order to evaluate their cost-effectiveness enhancing the wind plant operation under the considered study case.
UR - https://www.scopus.com/pages/publications/85066430940
U2 - 10.1088/1742-6596/1222/1/012039
DO - 10.1088/1742-6596/1222/1/012039
M3 - Conference article
AN - SCOPUS:85066430940
SN - 1742-6588
VL - 1222
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012039
T2 - WindEurope Conference and Exhibition 2019
Y2 - 2 April 2019 through 4 April 2019
ER -