碳中和愿景下考虑电氢耦合的风光场站氢储能优化配置

doi:10.12204/j.issn.1000-7229.2022.01.002

电力建设 ›› 2022, Vol. 43 ›› Issue (1): 10-18.doi: 10.12204/j.issn.1000-7229.2022.01.002

• 支撑碳达峰、碳中和的能源电力技术、经济和政策·栏目主持赵俊华副教授、邱靖博士、文福拴教授· • 上一篇下一篇

碳中和愿景下考虑电氢耦合的风光场站氢储能优化配置

许传博¹^,²(), 赵云灏³(), 王晓晨⁴(), 柯毅明⁵()

1.华北电力大学经济与管理学院,北京市 102206
2.新能源电力与低碳发展研究北京市重点实验室(华北电力大学),北京市 102206
3.华北电力大学国家能源发展战略研究院,北京市 102206
4.国网能源研究院有限公司,北京市 102209
5.暨南大学国际能源学院,广东省珠海市 519070

收稿日期:2021-08-06 出版日期:2022-01-01 发布日期:2021-12-21
通讯作者: 柯毅明 E-mail:90102479@ncepu.edu.cn;yunhaozhao@ncepu.edu.cn;wangxiaochen@sgeri.sgcc.com.cn;keyiming@jnu.edu.cn
作者简介:许传博(1993),男,博士,讲师,从事能源经济、氢储能系统配置及调度优化研究,E-mail: 90102479@ncepu.edu.cn;
赵云灏(1988),男,博士,助理研究员,从事能源数字化转型和能源互联系统规划与运行优化研究,E-mail: yunhaozhao@ncepu.edu.cn;
王晓晨(1991),男,硕士,工程师,主要从事能源电力规划、运行及其效益评估研究, E-mail: wangxiaochen@sgeri.sgcc.com.cn;
基金资助:
国家重点研发计划资助项目(2021YFE0102400);中国博士后科学基金(2020M680488);中国博士后科学基金(2021M691231)

Optimal Configuration of Hydrogen Energy Storage for Wind and Solar Power Stations Considering Electricity-Hydrogen Coupling Under Carbon Neutrality Vision

XU Chuanbo¹^,²(), ZHAO Yunhao³(), WANG Xiaochen⁴(), KE Yiming⁵()

1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
2. Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing 102206, China
3. National Institute of Energy Development Strategy, North China Electric Power University, Beijing 102206, China
4. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
5. Energy and Electricity Research Center, Jinan University, Zhuhai 519070,Guangdong Province,China

Received:2021-08-06 Online:2022-01-01 Published:2021-12-21
Contact: KE Yiming E-mail:90102479@ncepu.edu.cn;yunhaozhao@ncepu.edu.cn;wangxiaochen@sgeri.sgcc.com.cn;keyiming@jnu.edu.cn
Supported by:
National Key R&D Program of China(2021YFE0102400);China Postdoctoral Science Foundation(2020M680488);China Postdoctoral Science Foundation(2021M691231)

摘要/Abstract

摘要：

由于新能源出力具有波动性和间歇性,其直接接入电网会影响电力系统的安全稳定。为促进可再生能源消纳,可通过发展电氢耦合的氢储能系统解决此问题。为此,针对发电侧新能源风光场站的氢储能容量优化配置问题,以氢储能投资成本最小、系统累计跟踪计划误差最小和二氧化碳减排量增量最大为目标,以场站弃电率和实际场地面积为约束,构建了氢储能多目标优化配置模型。采用带精英策略的非支配排序的遗传算法和熵权法相结合的综合算法求解模型的最优折衷解。最后,以中国甘肃某风光场站为例,验证了所提模型与算法的有效性。结果显示:面向200 MW光伏和400 MW风电的可再生能源基地,200 kW电解槽、6 kg储氢罐及200 kW燃料电池的最佳配置数量分别为268、291和222个,所提氢储能系统积极响应了调度指令并大幅度降低了弃电率。

关键词: 发电侧, 风光场站, 氢储能, 容量配置

Abstract:

Due to the fluctuation and intermittence of new energy output, its direct access to the grid will affect the safe and stable operation of the power system. In order to promote renewable energy consumption, developing hydrogen storage system coupled with electricity and hydrogen is an effective way. For this reason, aiming at the optimal configuration of hydrogen storage capacity of new energy power station at the power generation side, a multi-objective optimal configuration model of hydrogen energy storage is established with the minimum investment cost of hydrogen energy storage, the minimum system cumulative tracking plan error and the maximum increment of carbon dioxide emission reduction as the objective function, and the abandonment rate and the actual site area as the constraints. The model is solved by the combination of genetic algorithm with elitist strategy and entropy weight method. Finally, the effectiveness of the proposed model and algorithm is verified by a case study in Gansu Province, China. The results show that the optimal number of 200 kW electrolytic cells, 6 kg hydrogen storage tanks and 200 kW fuel cells are 268, 291 and 222, respectively. The hydrogen storage system can actively respond to the dispatching command and greatly reduce the power abandonment rate.

Key words: generation side, wind and solar power station, hydrogen energy storage, capacity configuration

中图分类号:

TM76

许传博, 赵云灏, 王晓晨, 柯毅明. 碳中和愿景下考虑电氢耦合的风光场站氢储能优化配置[J]. 电力建设, 2022, 43(1): 10-18.

XU Chuanbo, ZHAO Yunhao, WANG Xiaochen, KE Yiming. Optimal Configuration of Hydrogen Energy Storage for Wind and Solar Power Stations Considering Electricity-Hydrogen Coupling Under Carbon Neutrality Vision[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(1): 10-18.

图/表 14

图1 氢储能系统示意图

Fig.1 Diagram of hydrogen storage system

图2 NSGA-II算法基本流程

Fig.2 Basic process of NSGA-II

图3 嘉峪关市光照强度、风速及温度年小时数据

Fig.3 Hourly data of radiation intensity, wind speed and temperature in Jiayuguan

表1 光伏系统相关参数取值

Table 1 Relevant parameters of photovoltaic system

表2 风电系统相关参数取值

Table 2 Relevant parameters of wind power system

表3 氢储能系统相关参数取值

Table 3 Relevant parameters of hydrogen energy storage system

表4 氢储能系统成本相关参数取值

Table 4 Relevant cost parameters of hydrogen energy storage system

图4 风光联合出力和电网调度指令曲线

Fig.4 Profile of wind and solar joint output and power grid dispatching instructions

图5 氢储能系统容量配置帕累托解结果

Fig.5 Pareto results of hydrogen storage system configuration

表5 前五的氢储能配置结果

Table 5 Top 5 configuration result of hydrogen storage system

图6 配置前后的系统跟踪计划误差

Fig.6 System tracking plan error before and after configuration

图7 目标f1和f2的相关关系

Fig.7 Correlation between goals f1 and f2

图8 目标f1和f3的相关关系

Fig.8 Correlation between goals f1 and f3

图9 目标f2和f3的相关关系

Fig.9 Correlation between goals f2 and f3

参考文献 21

[1]	ARBABZADEH M, SIOSHANSI R, JOHNSON J X, et al. The role of energy storage in deep decarbonization of electricity production[J]. Nature Communications, 2019, 10: 3413.
[2]	赵东元, 胡楠, 傅靖,等. 提升新能源电力系统灵活性的中国实践及发展路径研究[J]. 电力系统保护与控制, 2020, 48(24):1-8.
	ZHAO Dongyuan, HU Nan, FU Jing, et al. Research on the practice and road map of enhancing the flexibility of a new generation power system in China[J]. Power System Protection and Control, 2020, 48(24):1-8.
[3]	CHEN W, LI G D, PEI A, et al. A manganese-hydrogen battery with potential for grid-scale energy storage[J]. Nature Energy, 2018, 3(5): 428-435. doi: 10.1038/s41560-018-0147-7 URL
[4]	方陈, 张宇, 廖望,等. 区域能源互联网多能协同优化中的储能效益评估[J]. 电力建设, 2021, 42(5):48-56.
	FANG Chen, ZHANG Yu, LIAO Wang, et al. Benefit evaluation of energy storage in multi-energy collaborative optimization of regional energy Internet[J]. Electric Power Construction, 2021, 42(5): 48-56.
[5]	李建林, 郭斌琪, 牛萌, 等. 风光储系统储能容量优化配置策略[J]. 电工技术学报, 2018, 33(6): 1189-1196.
	LI Jianlin, GUO Binqi, NIU Meng, et al. Optimal configuration strategy of energy storage capacity in wind/PV/storage hybrid system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196.
[6]	李笑竹, 王维庆, 王海云, 等. 基于鲁棒优化的风光储联合发电系统储能配置策略[J]. 太阳能学报, 2020, 41(8): 67-78.
	LI Xiaozhu, WANG Weiqing, WANG Haiyun, et al. Energy storage allocation strategy of wind-solar-storage combined system based on robust optimization[J]. Acta Energiae Solaris Sinica, 2020, 41(8): 67-78.
[7]	杨立滨, 曹阳, 魏韡, 等. 计及风电不确定性和弃风率约束的风电场储能容量配置方法[J]. 电力系统自动化, 2020, 44(16): 45-52.
	YANG Libin, CAO Yang, WEI Wei, et al. Configuration method of energy storage for wind farms considering wind power uncertainty and wind curtailment constraint[J]. Automation of Electric Power Systems, 2020, 44(16): 45-52.
[8]	任大伟, 金晨, 侯金鸣, 等. 基于时序运行模拟的新能源配置储能替代火电规划模型[J]. 中国电力, 2021, 54(7): 18-26.
	REN Dawei, JIN Chen, HOU Jinming, et al. Planning model for renewable energy with energy storage replacing thermal power based on time series operation simulation[J]. Electric Power, 2021, 54(7): 18-26.
[9]	刘永前, 梁超, 阎洁, 等. 风-光电站中储能系统混合最优配置及其经济性研究[J]. 中国电力, 2020, 53(12): 143-150.
	LIU Yongqian, LIANG Chao, YAN Jie, et al. Optimal configuration and economic study of hybrid energy storage system in wind and solar power plants[J]. Electric Power, 2020, 53(12): 143-150.
[10]	吴倩, 王洋, 王琳媛,等. 计及波动平抑与经济性的风光储系统中混合储能容量优化配置[J/OL]. 电测与仪表: 1-10 [2021-07-23]. http://kns.cnki.net/kcms/detail/23.1202.TH.20200601.1243.018.html.
	WU Qian, WANG Yang, WANG Linyuan, et al. Optimal capacity allocation of hybrid energy storage system in wind-solar-battery system considering fluctuation smoothing and economy[J/OL]. Electrical Measurement Instrumentation: 1-10 [2021-07-23]. http://kns.cnki.net/kcms/detail/23.1202.TH.20200601.1243.018.html.
[11]	李瑞民, 张新敬, 徐玉杰, 等. 风光互补系统中混合储能容量优化配置研究[J]. 储能科学与技术, 2019, 8(3): 512-522.
	LI Ruimin, ZHANG Xinjing, XU Yujie, et al. Research on optimal configuration of hybrid energy storage capacity for wind-solar generation system[J]. Energy Storage Science and Technology, 2019, 8(3): 512-522.
[12]	XU F Q, LIU J C, LIN S S, et al. A multi-objective optimization model of hybrid energy storage system for non-grid-connected wind power: A case study in China[J]. Energy, 2018, 163: 585-603. doi: 10.1016/j.energy.2018.08.152 URL
[13]	刘颖明, 王瑛玮, 王晓东, 等. 基于蚁狮算法的风电集群储能容量配置优化方法[J]. 太阳能学报, 2021, 42(1): 431-437.
	LIU Yingming, WANG Yingwei, WANG Xiaodong, et al. Optimization of storage capacity allocation in wind farm cluster based on ant lion optimization algorithm[J]. Acta Energiae Solaris Sinica, 2021, 42(1): 431-437.
[14]	罗仕华, 胡维昊, 黄琦, 等. 市场机制下光伏/小水电/抽水蓄能电站系统容量优化配置[J]. 电工技术学报, 2020, 35(13): 2792-2804.
	LUO Shihua, HU Weihao, HUANG Qi, et al. Optimization of photovoltaic/small hydropower/pumped storage power station system sizing under the market mechanism[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2792-2804.
[15]	朱俊澎, 袁越, 吴涵. 考虑移动氢储能和高密度可再生能源的主动配电网优化调度[J]. 电力自动化设备, 2020, 40(12): 42-50.
	ZHU Junpeng, YUAN Yue, WU Han. Optimal dispatch of active distribution network considering mobile hydrogen energy storage and high-density renewable energy sources[J]. Electric Power Automation Equipment, 2020, 40(12): 42-50.
[16]	李奇, 赵淑丹, 蒲雨辰, 等. 考虑电氢耦合的混合储能微电网容量配置优化[J]. 电工技术学报, 2021, 36(3): 486-495.
	LI Qi, ZHAO Shudan, PU Yuchen, et al. Capacity optimization of hybrid energy storage microgrid considering electricity-hydrogen coupling[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 486-495.
[17]	XU C B, KE Y M, LI Y B, et al. Data-driven configuration optimization of an off-grid wind/PV/hydrogen system based on modified NSGA-II and CRITIC-TOPSIS[J]. Energy Conversion and Management, 2020, 215: 112892.
[18]	袁铁江, 张昱, 栗磊, 等. 计及功率密度约束含氢储能的预装式多元储能电站容量优化配置研究[J]. 电工技术学报, 2021, 36(3): 496-506.
	YUAN Tiejiang, ZHANG Yu, LI Lei, et al. Capacity optimization configuration of pre-installed multi-energy storage power station considering power density constrained hydrogen storage[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 496-506.
[19]	周长城, 马溪原, 郭晓斌, 等. 基于主从博弈的工业园区综合能源系统互动优化运行方法[J]. 电力系统自动化, 2019, 43(7): 74-80.
	ZHOU Changcheng, MA Xiyuan, GUO Xiaobin, et al. Leader-follower game based optimized operation method for interaction of integrated energy system in industrial park[J]. Automation of Electric Power Systems, 2019, 43(7): 74-80.
[20]	DEB K, AGRAWAL S, PRATAP A, et al. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II[C]// International Conference on Parallel Problem Solving from Nature. Springer, Berlin, Heidelberg, 2000: 849-858.
[21]	DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197. doi: 10.1109/4235.996017 URL

碳中和愿景下考虑电氢耦合的风光场站氢储能优化配置

Optimal Configuration of Hydrogen Energy Storage for Wind and Solar Power Stations Considering Electricity-Hydrogen Coupling Under Carbon Neutrality Vision

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 21

相关文章 15

编辑推荐

Metrics

本文评价

[1]	闫庆友, 史超凡, 秦光宇, 许传博. 基于近端策略优化算法的电化学/氢混合储能系统双层配置及运行优化[J]. 电力建设, 2022, 43(8): 22-32.
[2]	桂强, 史一炜, 周云, 冯冬涵. 考虑储能动态运行特性的充电站光储容量优化配置模型[J]. 电力建设, 2021, 42(5): 90-99.
[3]	刘庆楷, 刘明波, 陆文甜. 预防暂态低频减载的储能容量配置多目标动态优化方法[J]. 电力建设, 2021, 42(3): 81-88.
[4]	程孟增, 唐一金, 商文颖, 满林坤, 张南, 张娜, 李泓泽. 风光火抽蓄联合系统中抽水蓄能电站最佳容量配置[J]. 电力建设, 2021, 42(11): 72-81.
[5]	杨颖, 刘友波, 黄媛, 刘俊勇, 王潇笛. 电能替代下考虑需求响应的综合园区风光储配置方法[J]. 电力建设, 2021, 42(10): 9-18.
[6]	张楷，邱晓燕，李凌昊，张浩禹，赵有林，刘梦依. 含风电系统中计及静态电压稳定影响的储能系统配置方案[J]. 电力建设, 2020, 41(7): 110-116.
[7]	高乾恒，黄帅飞，李二超，董治强，李潇逸. 市场环境下含氢储能的售电公司优化调度[J]. 电力建设, 2019, 40(4): 42-48.
[8]	朱永强，刘康，张泉，田源，蔡冰倩，夏瑞华. 考虑储能系统调度的交直流混合微电网中互联变流器容量配置[J]. 电力建设, 2019, 40(10): 84-93.
[9]	牛萌，肖宇，刘锋，赵鹏程，赵波. 可再生能源接入对氢储能系统的影响及控制策略[J]. 电力建设, 2018, 39(4): 28-.
[10]	张钰1，肖白1，穆钢1，张泽宇2,刘东源1. 基于风电可行域及寿命减损的储能配置方法 [J]. 电力建设, 2018, 39(4): 60-.
[11]	王志强，张馨月，王珊，王凌飞，宫琦，刘文霞，李介夫，牛强. 区域弃风供热模式与设备容量配置协同优化[J]. 电力建设, 2018, 39(10): 82-91.
[12]	郭雅娟，陈锦铭，何红玉，吴倩红，韩蓓，李国杰. 交直流混合微电网接入分布式新能源的关键技术研究综述[J]. 电力建设, 2017, 38(3): 9-.
[13]	刘泽健, 杨苹, 许志荣. 考虑典型日经济运行的综合能源系统容量配置[J]. 电力建设, 2017, 38(12): 51-.
[14]	刘译聪, 牛淑娅，杨洋，刘文霞，李永贤，刘座铭. [J]. 电力建设, 2017, 38(11): 97-.
[15]	王宁，张建成. 基于能量协调控制的混合储能系统容量配置方法[J]. 电力建设, 2016, 37(8): 72-.