论文标题
离岸风电场收集系统的闭环两阶段随机优化
Closed-Loop Two-Stage Stochastic Optimization of Offshore Wind Farm Collection System
论文作者
论文摘要
提出了一个两阶段的随机优化模型，用于设计离岸风电场（OWF）的闭环电缆布局。该模型由混合整数线性程序（MILP）和方案数字合并组成，以说明风能和电缆故障随机性。目标函数支持以下方面的同时优化：（i）初始投资（网络拓扑和电缆尺寸），（ii）由于电缆故障的能源降低而导致的可靠性成本（iii）可靠性成本。数学优化程序嵌入到称为PCI（渐进式意外合并）的迭代框架中，以简化整个问题，同时仍包括其全局最佳。通过解决现实世界实例来证明该方法的适用性。结果表明，考虑到某些故障参数值，与确定性方法相比，应用随机优化时，该工具在量化经济盈利能力方面的功能。
A two-stage stochastic optimization model for the design of the closed-loop cable layout of an Offshore Wind Farm (OWF) is presented. The model consists on a Mixed Integer Linear Program (MILP) with scenario numeration incorporation to account for both wind power and cable failure stochasticity. The objective function supports simultaneous optimization of: (i) Initial investment (network topology and cable sizing), (ii) Total electrical power losses costs, and (iii) Reliability costs due to energy curtailment from cables failures. The mathematical optimization program is embedded in an iterative framework called PCI (Progressive Contingency Incorporation), in order to simplify the full problem while still including its global optimum. The applicability of the method is demonstrated by tackling a real-world instance. Results show the functionality of the tool in quantifying the economic profitability when applying stochastic optimization compared to a deterministic approach, given certain values of failure parameters.
