计及海水淡化制氢的微电网混合储能优化规划

doi:10.3969/j.issn.2097-0706.2022.05.005

综合智慧能源 ›› 2022, Vol. 44 ›› Issue (5): 49-55.doi: 10.3969/j.issn.2097-0706.2022.05.005

计及海水淡化制氢的微电网混合储能优化规划

杜欣烨(), 王建喜(), 孙永辉(), 何逸(), 吴鹏鹏(), 周伟()

河海大学能源与电气学院,南京 210098

收稿日期:2021-11-18 修回日期:2022-04-07 出版日期:2022-05-25 发布日期:2022-06-09
作者简介:杜欣烨（1998）,女,在读硕士研究生,从事综合能源系统建模与优化方面的研究, duxinye1018@163.com
王建喜（1989）,男,在读博士研究生,从事综合能源系统建模与优化方面的研究, j.x.wang2022@gmail.com
孙永辉（1980）,男,教授,博士,从事电网规划与运行优化、综合能源系统建模与优化的研究, sunyonghui168@gmail.com
何逸（1999）,女,在读硕士研究生,从事综合能源系统建模与优化方面的研究, 2209762542@qq.com
吴鹏鹏（1993）,女,在读博士研究生,从事综合能源系统建模与优化方面的研究, 210206030011@hhu.edu.cn
周伟（1997）,男,在读硕士研究生,从事综合能源系统建模与优化方面的研究, 2926547720@qq.com。
基金资助:
国家自然科学基金项目(62073121)

Optimal planning of hybrid energy storage systems in microgrids considering seawater desalination and hydrogen production

Xinye DU(), Jianxi WANG(), Yonghui SUN(), Yi HE(), Pengpeng WU(), Wei ZHOU()

College of Energy and Electrical Engineering,Hohai University,Nanjing 210098,China

Received:2021-11-18 Revised:2022-04-07 Online:2022-05-25 Published:2022-06-09

摘要/Abstract

摘要：

电氢混合储能系统优化规划是解决沿海地区大规模海上风电并网消纳问题的有效途径。综合考虑海上风电优先就地消纳及氢能绿色制取与高效利用,构建含海上风电微电网内电氢混合储能系统的运行模型及全寿命周期成本（LCC）模型,提出一种以经济最优为目标函数,计及海水淡化制氢的微电网电氢混合储能系统双层规划模型,应用于含海上风电微电网的容量配置和运行调度优化问题,并分别采用CPLEX求解器和改进粒子群优化算法（PSO）对内、外层模型进行求解。最后,以某地区海上风电场为例进行仿真计算,结果表明,含海上风电微电网经电氢混合储能系统优化规划后总成本降低19.5%,同时海上风电场弃风率减少9.3%,验证了所提模型的有效性与可行性。

关键词: 海上风电, 海水淡化, 电氢混合储能系统, 双层规划, 改进粒子群优化算法, 混合储能系统, 制氢, 微电网

Abstract:

Making optimal planning for electricity-hydrogen hybrid energy storage systems is an effective way to solve the problem of large-scale offshore wind power consumption in coastal areas.Local consumption and hydrogen’s green production and efficient application are given priority in offshore wind power utilization, and an operation model and a life cycle cost（LCC） model for a hybrid energy storage system in an offshore wind power-connected microgrid are constructed.Then,a bi-level planning model for the hybrid energy storage system considering seawater desalination and hydrogen production is proposed.The model taking economic optimization as as its objective function can solve the capacity allocation and scheduling optimization of the offshore wind power-connected microgrid. And CPLEX solver and improved particle swarm optimization（PSO） are used to solve the inner and outer models respectively. Finally,a simulation is carried out on an offshore wind farm,and the results show that the total cost of the offshore wind power-connected microgrid has dropped by 19.5% and the wind power curtailment ratio of the offshore wind farm has reduced by 9.3% after the optimal planning for the hybrid energy storage system. The simulation prove the validity and feasibility of the proposed model.

Key words: offshore wind power, seawater desalination, hybrid electric-hydrogen energy storage system, bi-level programming, improved particle swarm algorithm, hybrid energy storage system, hydrogen production, microgrid

中图分类号:

TK91：TM732

杜欣烨, 王建喜, 孙永辉, 何逸, 吴鹏鹏, 周伟. 计及海水淡化制氢的微电网混合储能优化规划[J]. 综合智慧能源, 2022, 44(5): 49-55.

Xinye DU, Jianxi WANG, Yonghui SUN, Yi HE, Pengpeng WU, Wei ZHOU. Optimal planning of hybrid energy storage systems in microgrids considering seawater desalination and hydrogen production[J]. Integrated Intelligent Energy, 2022, 44(5): 49-55.

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名称	建设成本/ （万元·MW^-1）	运维成本比例/%	计划寿命周期/a
蓄电池	64	40	1.36
电解槽	221	40	15.00
储氢罐	45	10	25.00
燃料电池	300	10	5.78

场景	容量/MW
场景	蓄电池	电解槽	储氢罐	燃料电池
1	2 859.7	—	—	—
2	1 791.3	371.9	200.0	428.3

场景	总成本/万元	LCC/ 万元	购电费用/万元	弃风成本/万元	弃风率/%
1	627.5	557.1	33.6	36.8	10.3
2	505.4	468.2	33.5	3.8	1.0

计及海水淡化制氢的微电网混合储能优化规划

Optimal planning of hybrid energy storage systems in microgrids considering seawater desalination and hydrogen production

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