TY - GEN
T1 - Unrestricted wind farm layout design with optimal control considerations
AU - Deshmukh, Anand P.
AU - Allison, James T.
N1 - This work was supported partially by the Clean Energy Education and Research Fellowship awarded to first author by the Graduate College at the University of Illinois at Urbana-Champaign. This support is gratefully acknowledged.
PY - 2017
Y1 - 2017
N2 - Wind energy is a rapidly expanding source of renewable energy, but is highly intermittent. The performance of a wind farm, composed of a collection of wind turbines, depends not only on the placement of wind turbines in a farm, but also control actions taken by individual turbines. The wind turbine placement (layout) design problem involves adjusting turbine locations within a given area to improve a performance objective (such as maximizing annualized energy production). This layout problem has been addressed previously considering the eect of constraints such land configuration, installed capacity, and wake model choice on the performance of wind farms. All the studies, however, ignore the eects of the control system, which can have significant impact on performance. A well designed wind farm-without an optimal controller-will not achieve the full system level optimal performance, and vice-versa. In this article, we propose a novel layout co-design approach that includes optimal control considerations to exploit this synergy between farm layout and control. Layout case studies involving 8 and 12 turbines are presented. An annual energy production improvement of up to 17% is observed when accounting for coupling between control and layout design, when compared to layout-only optimization.
AB - Wind energy is a rapidly expanding source of renewable energy, but is highly intermittent. The performance of a wind farm, composed of a collection of wind turbines, depends not only on the placement of wind turbines in a farm, but also control actions taken by individual turbines. The wind turbine placement (layout) design problem involves adjusting turbine locations within a given area to improve a performance objective (such as maximizing annualized energy production). This layout problem has been addressed previously considering the eect of constraints such land configuration, installed capacity, and wake model choice on the performance of wind farms. All the studies, however, ignore the eects of the control system, which can have significant impact on performance. A well designed wind farm-without an optimal controller-will not achieve the full system level optimal performance, and vice-versa. In this article, we propose a novel layout co-design approach that includes optimal control considerations to exploit this synergy between farm layout and control. Layout case studies involving 8 and 12 turbines are presented. An annual energy production improvement of up to 17% is observed when accounting for coupling between control and layout design, when compared to layout-only optimization.
UR - https://www.scopus.com/pages/publications/85034772478
UR - https://www.scopus.com/inward/citedby.url?scp=85034772478&partnerID=8YFLogxK
U2 - 10.1115/DETC2017-67480
DO - 10.1115/DETC2017-67480
M3 - Conference contribution
AN - SCOPUS:85034772478
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 43rd Design Automation Conference
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
Y2 - 6 August 2017 through 9 August 2017
ER -