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面向海上风电高效利用的水下抽水蓄能容量优化配置分析

王晰 苏开元 谢小荣

电网技术2024,Vol.48Issue(4):1428-1434,中插10-中插11,9.
电网技术2024,Vol.48Issue(4):1428-1434,中插10-中插11,9.DOI:10.13335/j.1000-3673.pst.2023.1849

面向海上风电高效利用的水下抽水蓄能容量优化配置分析

Underwater Hydro Pumped Storage Optimized Capacity Configuration for Offshore Wind Power Utilization

王晰 1苏开元 1谢小荣1

作者信息

  • 1. 新型电力系统运行与控制全国重点实验室(清华大学电机系),北京市海淀区 100084
  • 折叠

摘要

Abstract

Underwater energy storage is receiving increasing attention to address the challenges of integrating marine renewable energy,represented by offshore wind power,into the power grid.Underwater pumped hydro storage(UPHS)is typical of these energy storage methods.However,the focus of existing research on UPHS is far from the electrical and energy field,and there is no in-depth analysis of capacity allocation and planning of real energy storage projects yet.To solve this problem,this paper researches the UPHS optimization configuration problem from the(quasi-)steady state perspective.Firstly,the structure of the offshore wind farm(OWF)and UPHS combined system is clarified,and a system model is established based on the principle of UPHS and wind turbine characteristics.After that,a mathematical model to derive the optimal capacity allocation is built to maximize investment return.Optimal capacities and real-time outputs of OWF and UPHS are solved under certain wind speed conditions.Finally,a comparative analysis of some key parameters is carried out to show their impacts on energy storage planning.Results show that UPHS can significantly improve the construction scale and investment returns of OWFs;meanwhile,the size and utilization hours also have multi-dimensional influences on the planning decision.

关键词

水下抽水蓄能/水下储能/容量配置/海上风电

Key words

underwater pumped hydro storage(UPHS)/underwater energy storage/capacity configuration/offshore wind power

分类

信息技术与安全科学

引用本文复制引用

王晰,苏开元,谢小荣..面向海上风电高效利用的水下抽水蓄能容量优化配置分析[J].电网技术,2024,48(4):1428-1434,中插10-中插11,9.

基金项目

国家自然科学基金项目(51925701,U22B20100) (51925701,U22B20100)

清华大学-丰田联合研究基金专项资助(20223930081).Project Sponsored by National Natural Science Foundation of China(51925701,U22B20100) (20223930081)

Tsinghua-Toyota Joint Research Fund(20223930081). (20223930081)

电网技术

OA北大核心CSTPCD

1000-3673

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