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风电变流技术 ★ 5.0

一种同时优化风电场内部网络布局、电缆截面和变电站位置的集成方法

An integrated method to simultaneously optimise a wind farm’s internal network layout, cable cross-sections and substation location

作者 Andrzej Wędzi · MichałSzypowsk · Tomasz Siewiersk
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 377 卷
技术分类 风电变流技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 Wind farm’s power station location & grid structure optimisation can be integrated.
语言:

中文摘要

摘要 风电场的内部电网呈现出一个广泛的网络结构。主变电站(MPS)、风力发电机组以及连接它们的电缆通常分布在大面积的陆地或海床上。该网络中各个组成部分的成本占总投资的相当大比例。投资者在项目中投入大量资金,期望在满足技术要求的前提下,尽可能降低投资相关成本,并从规划风电场的运营中获得最大可能的利润。因此,即使在设计阶段,也应努力确定主变电站的位置并配置风电场的内部连接方式,以使成本尽可能低,同时满足技术规范的要求。本文提出了一种集成化的方法,用于解决在满足法规所规定的各项技术约束(如电缆载流量和允许电压降)条件下,同步确定主变电站位置、选择内部网络连接结构及电缆截面的问题。优化的主要目标是找到一个变电站位置以及风电场内部网络的结构,使得该特定网络结构下的电缆相关成本(包括投资成本和有功功率损耗)最小化。作者展示了基于含二元变量的混合整数非线性规划(MINLP)的集成算法在解决此类问题中的有效性与实用性。计算结果还表明,在设计网络时考虑电缆中有功电能损耗的必要性和重要性。这些损耗所产生的费用与电缆敷设成本相当,并对所设计网络的最终形态、结构以及所采用电缆的截面选择具有重大影响。

English Abstract

Abstract The internal power grid of a wind farm resembles an extensive network structure. The farm’s main power station (MPS), wind turbines, and the cables connecting them are usually spread over large areas of land or seabed. The cost of each component of such a network represents a considerable proportion of the total investment. By investing significant funds in the overall project, the investor expects to minimise the costs associated with the investment while making the highest possible profit from operating the planned wind farm. Therefore, even at the design stage, efforts should be made to locate the MPS and configure the internal connections of the wind farm in such a way that the costs are as low as possible while meeting the technical requirements. The paper proposes an integrated methodology for solving the problem of simultaneously determining the location of the MPS, selecting the connection structure and cable cross-sections of the internal network of a wind farm while complying with the technical constraints required by the regulations, such as the current carrying capacity of the cables and the permissible voltage drops. The primary objective of the optimisation is to find a location for a substation and the internal structure of the wind farm network that minimises the cable-related costs (investment and active power losses) for such a specific network structure. The authors demonstrate the effectiveness and usefulness of using an integrated algorithm based on Mixed Integer Nonlinear Programming with binary variables (MINLP). The calculations also show the usefulness and necessity of considering the active energy losses in the cables of the designed network. These costs are comparable to the costs of laying cables and have a major influence on the final shape and structure of the designed network and the cross-sections of the cables used.
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SunView 深度解读

该风电场集成优化方法对阳光电源风电变流器及储能系统布局具有重要借鉴价值。文中提出的MINLP混合整数非线性规划算法可应用于大型风储一体化项目,同时优化ST系列储能变流器站址选择、电缆截面配置及内部网络拓扑,有效降低线缆投资与有功损耗成本。该方法论可集成至iSolarCloud平台,为风光储项目前期设计提供智能决策支持,特别适用于海上风电场景中PowerTitan储能系统的经济性布局优化,提升整体投资回报率。