Wind power project development investment is based on the separate technical and financial analyses. Based on the actual wind data, data-based wind distribution map and wake effect model, a combined techno-economic analysis is proposed in this paper. Starting from deriving the wind distribution map, a comprehensive analysis extending to the feasibility assessment of the project is presented here. The problem is formulated as the maximization of net present value of the project subject to the specified initial investment cost within a fixed area and turbine spacing constraints. Simultaneous optimization of the wind turbine size, hub height and placement is realized with BPSO-TVAC. Sensitivity analysis and Monte Carlo simulation are used to investigate the feasibility of the project, against various parameters, imposed on by the techno-economic constraints. Hypothesis testing with a confidence level of 99.99% corroborates the results obtained from Monte Carlo simulation. With scenario analysis, a positive NPV is identified even in the worst-case scenario, an attractive trait for investors. An ideal decision-making tool considering technical efficiency and profitability simultaneously is presented.

中文翻译：

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最佳布置风电场的综合技术经济分析

风电项目开发投资基于单独的技术和财务分析。本文基于实际风数据、基于数据的风分布图和尾流效应模型，提出了一种技术经济相结合的分析方法。从导出风分布图开始，这里介绍了扩展到项目可行性评估的综合分析。该问题被表述为在固定区域内指定初始投资成本和涡轮机间距约束下项目净现值的最大化。BPSO-TVAC 实现了风力涡轮机尺寸、轮毂高度和位置的同时优化。敏感性分析和蒙特卡罗模拟用于研究项目的可行性，针对各种参数，由技术经济约束强加的。置信水平为 99.99% 的假设检验证实了从 Monte Carlo 模拟中获得的结果。通过情景分析，即使在最坏的情况下也能确定正 NPV，这对投资者来说是一个有吸引力的特征。提出了一种同时考虑技术效率和盈利能力的理想决策工具。