TY - JOUR
T1 - Multi-timescale coordinated operation of a CHP plant-wind farm portfolio considering multiple uncertainties
AU - Wang, Jiawei
AU - Zhang, Cuo
AU - You, Shi
AU - Zong, Yi
AU - Træholt, Chresten
AU - Dong, Zhao Yang
PY - 2021/2
Y1 - 2021/2
N2 - This paper proposes a multi-timescale coordinated operation approach which coordinates the combined heat and power (CHP) plant and wind farm operation in a deregulated day-ahead heat market and a real-time balancing electricity market. This approach aims to optimize profits of the CHP-wind farm portfolio by considering energy sale in the day-ahead heat market and penalty in the real-time two-price balancing market. Multiple uncertainties of heat load, wind power generation, day-ahead electricity price, up- and down-regulation prices are taken into account for the optimal operation. A stochastic optimization method is applied to solve the proposed coordinated operation problem. The proposed multi-timescale coordinated operation approach is simulated on a real-life system in Copenhagen Denmark where an energy company owns both a CHP plant and a wind farm. The simulation results verify that the proposed method can achieve a profitable operation in the markets and a highly robust operation against the multiple uncertainties. © 2020 Elsevier Ltd
AB - This paper proposes a multi-timescale coordinated operation approach which coordinates the combined heat and power (CHP) plant and wind farm operation in a deregulated day-ahead heat market and a real-time balancing electricity market. This approach aims to optimize profits of the CHP-wind farm portfolio by considering energy sale in the day-ahead heat market and penalty in the real-time two-price balancing market. Multiple uncertainties of heat load, wind power generation, day-ahead electricity price, up- and down-regulation prices are taken into account for the optimal operation. A stochastic optimization method is applied to solve the proposed coordinated operation problem. The proposed multi-timescale coordinated operation approach is simulated on a real-life system in Copenhagen Denmark where an energy company owns both a CHP plant and a wind farm. The simulation results verify that the proposed method can achieve a profitable operation in the markets and a highly robust operation against the multiple uncertainties. © 2020 Elsevier Ltd
KW - Combined heat and power
KW - District heating
KW - Portfolio operation
KW - Stochastic optimization
KW - Wind power
UR - http://www.scopus.com/inward/record.url?scp=85091983871&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85091983871&origin=recordpage
U2 - 10.1016/j.ijepes.2020.106428
DO - 10.1016/j.ijepes.2020.106428
M3 - RGC 21 - Publication in refereed journal
SN - 0142-0615
VL - 125
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
M1 - 106428
ER -
