电网与清洁能源2024,Vol.40Issue(12) :93-101,110.

面向新能源消纳的电氢耦合系统容量优化配置

A Study on Capacity optimization of Electric-hydrogen Coupling Systems for New Energy Consumption

张雯涵 艾欣 徐衍会 王昊洋
电网与清洁能源2024,Vol.40Issue(12) :93-101,110.

面向新能源消纳的电氢耦合系统容量优化配置

A Study on Capacity optimization of Electric-hydrogen Coupling Systems for New Energy Consumption

张雯涵 1艾欣 1徐衍会 1王昊洋1
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作者信息

  • 1. 新能源电力系统全国重点实验室(华北电力大学),北京 102206
  • 折叠

摘要

随着以风电、光伏为代表的新能源发电比例的增加,大规模弃电现象日益显现.混合储能技术的应用可有效实现风光消纳;为此,该文提出一种面向新能源消纳的电氢耦合系统容量优化配置方法.首先,阐述了电氢混合储能与分布式电源的协同运行机理,建立风光出力模型;接着,综合经济性成本与新能源消纳能力,建立面向新能源消纳的电氢混合储能多目标容量优化配置模型并采用NSGA算法求解;最后,基于青海某地电网进行算例分析,验证了合理配置电氢耦合系统容量,可以有效提高系统的经济性,更好地实现新能源的消纳.

Abstract

With an increasing proportion of new energy generation represented by wind and photovoltaic power,the phenomenon of large-scale abandoned electricity is becoming more and more serious.The application of hybrid energy storage technology can effectively help the consumption of wind and solar power,for this reason,therefore,this paper proposes a capacity optimization method for the electric-hydrogen coupled system aimed at new energy utilization.First,the synergistic operation mechanism of electric-hydrogen hybrid energy storage with distributed power sources is described,and a wind and solar power output model is established.Second,integrating economic costs and new energy consumption capacity,a multiple-objective capacity optimization configuration model for electric-hydrogen hybrid energy storage aimed at new energy utilization is established and solved using the NSGA algorithm.Finally,based on a case study of a certain power grid in Qinghai,it is verified that reasonably configuring the capacity of the electric-hydrogen coupled system can effectively improve the economy of the system and better realize the consumption of new energy.

关键词

电氢混合储能/风光消纳/容量优化配置/NSGA算法

Key words

hybrid hydrogen energy storage/wind-solar power integration/optimization of capacity configuration/NSGA algorithm

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出版年

2024
电网与清洁能源
西北电网有限公司 西安理工大学水电土木建筑研究设计院

电网与清洁能源

CSTPCD北大核心
影响因子:1.122
ISSN:1674-3814
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