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风电变流技术 储能系统 可靠性分析 ★ 5.0

基于可靠性的海上风电场集电系统电缆布局规划

Reliability-Based Planning of Cable Layout for Offshore Wind Farm Electrical Collector System Considering Post-Fault Network Reconfiguration

作者 Xiaochi Ding · Yunfei Du · Xinwei Shen · Qiuwei Wu · Xuan Zhang · Nikos D. Hatziargyriou
期刊 IEEE Transactions on Sustainable Energy
出版日期 2024年9月
技术分类 风电变流技术
技术标签 储能系统 可靠性分析
相关度评分 ★★★★★ 5.0 / 5.0
关键词 海上风电场 电气集电系统 电缆布局规划 可靠性 定制渐进式事故纳入框架
语言:

中文摘要

集电系统(ECS)结构对海上风电场(OWF)的经济性与可靠性具有重要影响。现有研究多局限于径向或环形拓扑,且采用图论启发式方法求解。本文提出一种基于可靠性的大规模海上风电场ECS电缆布局两阶段随机规划方法,考虑风功率不确定性及故障场景,并通过联络电缆动态调整风机供电路径实现故障后网络最优重构。为应对大量故障场景带来的计算挑战,设计了定制化的渐进式故障场景纳入(CPCI)框架,迭代识别关键场景并求解简化模型,理论证明其收敛性与最优性。多个实际风电场的数值实验验证了完全优化ECS结构的必要性及CPCI算法的高效性。

English Abstract

The electrical collector system (ECS) plays a crucial role in determining the performance of offshore wind farms (OWFs). Existing research has predominantly restricted ECS cable layouts to conventional radial or ring structures and employed graph theory heuristics for solutions. However, both economic efficiency and reliability of the OWFs heavily depend on their ECS structure, and the optimal ECS cable layout often deviates from typical configurations. In this context, this paper introduces a novel reliability-based ECS cable layout planning method for large-scale OWFs, employing a two-stage stochastic programming approach to address uncertainties of wind power and contingencies. To enhance reliability, the model incorporates optimal post-fault network reconfiguration strategies by adjusting wind turbine power supply paths through link cables. To tackle computation challenges arising from numerous contingency scenarios, a customized progressive contingency incorporation (CPCI) framework is developed to solve the model with higher efficiency by iteratively identifying non-trivial scenarios and solving the simplified problems. The convergence and optimality are theoretically proven. Numerical tests on several real-world OWFs validate the necessity of fully optimizing ECS structures and demonstrate the efficiency of the CPCI algorithm.
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SunView 深度解读

该研究的电缆布局优化与故障重构方法对阳光电源的海上风电及储能产品具有重要参考价值。具体可应用于:1) ST系列储能变流器的多机并联系统拓扑设计,优化系统可靠性与经济性; 2) PowerTitan大型储能系统的电缆布局规划,提升系统故障恢复能力; 3) iSolarCloud平台的智能运维算法,实现故障后的最优网络重构。研究中提出的渐进式故障场景识别方法(CPCI)可用于完善储能系统的预测性维护策略,降低运维成本。这对提升阳光电源在海上风电配套储能领域的竞争力具有积极意义。