多元储能在深远海风电集群中的应用规划与运行策略

李振坤; 耿鲁俊; 杨心刚; 张雅君; 魏书荣

doi:doi:10.19912/j.0254-0096.tynxb.2024-1829

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多元储能在深远海风电集群中的应用规划与运行策略

更新时间：2026-03-06

- 多元储能在深远海风电集群中的应用规划与运行策略
- Vol. 47, Issue 2, Pages: 558-568(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1829
  CLC： TM614
- Online First：05 March 2026，
  
  Published：05 March 2026
- 稿件说明：
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李振坤, 耿鲁俊, 杨心刚, et al. 多元储能在深远海风电集群中的应用规划与运行策略[J]. 2026, 47(2): 558-568.
DOI：

李振坤, 耿鲁俊, 杨心刚, et al. 多元储能在深远海风电集群中的应用规划与运行策略[J]. 2026, 47(2): 558-568. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1829.

摘要

为解决海上风电出力波动性大的问题

兼顾电氢多元储能耦合特性与优化共用柔直输电系统容量

提出电氢多元储能在深远海风电集群中缓解柔直输电系统容量的规划运行策略。首先

综合考虑在优化柔直输电系统容量和电氢储能充放电功率约束基础上

制定电氢多元储能能量管理策略;其次

在此策略基础上以计及多元储能的深远海风电集群系统总收益最大为目标

建立深远海风电集群-多元储能系统配置优化模型;然后

对数据进行聚类分析

得到风电典型出力场景

减少极端数据影响。最后

以中国东部某离岸距离150 km的海上风电集群为例

通过实际数据进行计算

将5种场景下配置结果以及成本、收益进行对比分析。算例结果表明

基于所提电氢多元储能能量管理策略下的多元储能在深远海风电集群中配置方案

在较高程度上提升系统经济性

一定程度上缓解深远海外送电压力

验证策略可行性。

Abstract

With the steady promotion of green and clean energy and the rapid development of deep-sea wind power technology

the application of multiple energy storage in deep-sea wind power clusters is expected to become a key technology to solve the problems of far offshore

high cost

difficult to send out as well as power fluctuations in stochastic and strong

etc. The application of multiple energy storage in deep-sea wind power clusters is expected to become a key technology to solve the problems. In order to solve this problem

this paper takes into account the coupling characteristics of electric-hydrogen multiple energy storage and the optimization of the capacity of the shared flexible direct transmission system

and proposes a planning and operation strategy for the electric-hydrogen multiple energy storage to relieve the capacity of the flexible direct transmission system in the deep-sea wind power cluster. Firstly

an energy management strategy for electric-hydrogen multiple storage is formulated based on the optimization of flexo-direct transmission system capacity and electric-hydrogen storage charging/discharging power constraints and storage state constraints; secondly

an optimization model of deep-sea wind cluster-multiple storage system configuration is established on the basis of this strategy with the objective of maximising the total system benefit of deep-sea wind clusters taking into account the multiple storage; and then

a data aggregation and optimization model is developed to solve the problem of large fluctuation of the output of offshore wind power. The data are clustered and analysed to obtain the typical wind power output scenarios and reduce the impact of extreme data. Finally

taking an offshore wind power cluster in the eastern part of China as an example

computational analysis is carried out through actual data to compare and analyse the configuration results as well as costs and benefits under five scenarios. The results of the calculation example show that the configuration scheme of multi-energy storage in the deep sea wind power clusters under the proposed strategy can effectively improve the economy of the system

alleviate the pressure of deep sea power delivery to a certain extent

and verify the feasibility of the strategy.

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