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Wind Farm Layout Design Optimization Through Multidisciplinary Design Optimization with Complementarity Constraints

机译:通过互补约束的多学科设计优化进行风电场布局设计优化

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This paper presents a multidisciplinary design optimization with complementarity constraints (MDO-CC) approach to wind farm layout design to maximize the wind power production under region boundary and inter-turbine distance constraints. A complementarity formulation technique is introduced such that the wind farm layout design can be described with a continuously differentiable optimization model; and a multi-scenario decomposition approach is proposed to ensure efficient solution with local optimality. To combine global exploration and local optimization, a hybrid solution algorithm is presented, which combines the MDO-CC approach with a bi-objective genetic algorithm that maximizes power production and minimizes constraint violations simultaneously. A numerical case study demonstrates the effectiveness of the proposed approach.
机译:本文提出了一种具有互补约束(MDO-CC)方法的多学科设计优化方法,用于风电场布局设计,以在区域边界和涡轮间距离约束下最大化风力发电量。引入了互补性公式化技术,以便可以使用可连续微分的优化模型来描述风电场布局设计;为了保证局部最优解的有效性,提出了一种多场景分解的方法。为了结合全局探索和局部优化,提出了一种混合求解算法,该算法将MDO-CC方法与双目标遗传算法相结合,该遗传算法可最大化发电量,同时将约束违规最小化。数值案例研究证明了该方法的有效性。

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