Optimization of Wind Farm Turbine Layout Including Decision Making Under Risk
Optimization of Wind Farm Turbine Layout Including Decision Making Under Risk
复制标题
DOI：
10.1109/jsyst.2011.2163007
复制
发表时间：
2012-03
影响因子：
4.4
通讯作者：
J. S. Gonzalez;M. B. Payán;J. Riquelme-Santos
中科院分区：
文献类型：
--
作者：
J. S. Gonzalez;M. B. Payán;J. Riquelme-Santos
本文对风电场优化设计提出了新的贡献，包括主要的风险管理方面。该算法的目标是考虑到用于设计风电场的风力数据包含一定程度的不确定性，从而影响项目的最终回报，从而优化风电场的预期利润。在建议的方法中，净现值（NPV）将被用作盈利能力的数字。NPV的最大化意味着累积净现金流的最大化（通过最大化净能源的产生）和投资的最小化。这两个术语主要取决于风力涡轮机的数量和类型、塔架高度和地理位置等因素。因此，本文开发的工具旨在确定在由于风力数据不确定性而存在风险的情况下最适合的风电场配置。
This paper presents a new contribution to optimal wind farm design, including the main risk management aspects. The objective of the algorithm is to optimize the expected profits of the wind farm by taking into account that the wind data used to design the wind farm involves some degree of uncertainty that affects the final return of the project. Net present value (NPV) will be used as a figure of the profitability in the proposed method. The maximization of the NPV means the maximization of the cumulative net cash flows (by maximizing the generation of net energy) and minimization of the investment. Both terms mainly depend on the number and type of wind turbines, tower height, and geographical position, among other factors. Therefore, the tool developed in this paper is intended to determine the wind farm configuration most suitable in the presence of risk due to uncertainty in the wind data.