TY - GEN
T1 - Assessing the impact of wind variability on the long-term operation of a hydro-dominated system
AU - Morillo, Jose L.
AU - Perez, Juan F.
AU - Zephyr, Luckny
AU - Lindsay Anderson, C.
AU - Cadena, Angela
N1 - Funding Information:
This work has been supported in part by ISAGEN - Colombia, specific agreement No. 2. Interinstitutional framework agreement No. 47/353.
Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Hydro-dominated systems are characterized by uncertainty on the inflows to the reservoirs. Driven by both technological advances and environmental awareness, the share of renewables in the energy production mix has been increasing over the past decades. However, due to their intermittent nature, the integration of renewables entails additional uncertainty, which may negatively impact the operation of the system if the overall risk is not properly appraised. This work analyzes the impact of short-term wind variability on the long-term operation of a hydro-dominated power system based upon two risk measure approaches, namely (i) chance constrained programming, and (ii) conditional value-at-risk. Both approaches are formulated under the framework of stochastic dual dynamic programming. The proposals are tested on a portion of the Colombian power system, in the presence of wind energy and storage units.
AB - Hydro-dominated systems are characterized by uncertainty on the inflows to the reservoirs. Driven by both technological advances and environmental awareness, the share of renewables in the energy production mix has been increasing over the past decades. However, due to their intermittent nature, the integration of renewables entails additional uncertainty, which may negatively impact the operation of the system if the overall risk is not properly appraised. This work analyzes the impact of short-term wind variability on the long-term operation of a hydro-dominated power system based upon two risk measure approaches, namely (i) chance constrained programming, and (ii) conditional value-at-risk. Both approaches are formulated under the framework of stochastic dual dynamic programming. The proposals are tested on a portion of the Colombian power system, in the presence of wind energy and storage units.
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U2 - 10.1109/ISGTEurope.2017.8260317
DO - 10.1109/ISGTEurope.2017.8260317
M3 - Conference contribution
AN - SCOPUS:85046278286
T3 - 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
SP - 1
EP - 6
BT - 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017
Y2 - 26 September 2017 through 29 September 2017
ER -
