高原高寒地区可再生能源与储能集成供能系统研究

doi:10.12028/j.issn.2095-4239.2019.0040

储能科学与技术 ›› 2019, Vol. 8 ›› Issue (4): 678-688.doi: 10.12028/j.issn.2095-4239.2019.0040

• 微电网与分布式储能技术专刊 • 上一篇下一篇

高原高寒地区可再生能源与储能集成供能系统研究

孙雯雯^1,2, 徐玉杰^1,2, 丁捷^1,2, 李瑞民^1,2, 凌浩恕^1,2, 谭雅倩^1,2, 陈海生^1,2

1 中国科学院工程热物理研究所, 北京 100190;
2 中国科学院大学, 北京 100049

收稿日期:2019-03-25 修回日期:2019-04-18 出版日期:2019-07-01 发布日期:2019-07-01
通讯作者: 陈海生,研究员,主要研究方向为新型大规模压缩空气储能、微型燃气轮机、微小尺度流动与传热等,E-mail:chen_hs@mail.etp.ac.cn。
作者简介:孙雯雯(1993-),女,硕士研究生,主要研究方向为储能与分布式供能,E-mail:sunwenwen@iet.cn
基金资助:
国家重点研发计划（2017YFB0903605），中国科学院前沿科学重点研究项目（QYZDB-SSW-JSC023），中国科学院国际合作局国际伙伴计划（182211KYSB20170029）及英国皇家学会牛顿高级学者项目（NA170093）。

An energy system for the integration of renewable energy with energy storage in a frigid plateau region

SUN Wenwen^1,2, XU Yujie^1,2, DING Jie^1,2, LI Ruimin^1,2, LING Haoshu^1,2, TAN Yaqian^1,2, CHEN Haisheng^1,2

1 Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China

Received:2019-03-25 Revised:2019-04-18 Online:2019-07-01 Published:2019-07-01

摘要/Abstract

摘要： 面向高原高寒地区对稳定供热和供电的迫切需求，本文提出了一种新型的可再生能源与储能集成供能系统。该系统包括风力发电、光伏发电、水力发电、槽式太阳能集热器、储热系统、储电装置以及集成控制系统，实现了多种可再生能源高效利用；制定了一种考虑热电设备性能的实时能量管理策略，并建立了以年成本为主要优化目标的容量配置方法；利用该系统与优化方法对高原高寒地带民用住宅群的供能系统进行了优化设计，通过案例对比分析，验证了该集成供能系统容量配置方法和能量管理策略的可行性。研究结果为高原高寒地区供能系统的选择提供了有益的参考。

关键词: 高原高寒, 可再生能源, 储能, 容量优化, 能量管理

Abstract: This paper proposed an energy system for the integration of renewable energy with energy storage in a frigid plateau region. The system was intended for an isolated residential community with heating and power demands, which includes wind, photovoltaic, and hydroelectric power generation, trough solar collector, heat storage unit, electrical energy storage unit and an integrated control unit for achieving a high effciency in the utilization of renewable energy. An optimization method based on the genetic algorithm was established for the proposed system, aimed at fnding a confguration with optimal economics. Besides, a real-time energy management strategy, which took into account the performances of components, was proposed to ensure an effective operation of the system. A case study was then conducted to minimize the annualized cost of the system. The results showed the feasibility of the energy management strategy.

Key words: frigid plateau region, renewable energy, energy storage, optimal sizing, energy management

中图分类号:

TQ028.8

孙雯雯, 徐玉杰, 丁捷, 李瑞民, 凌浩恕, 谭雅倩, 陈海生. 高原高寒地区可再生能源与储能集成供能系统研究[J]. 储能科学与技术, 2019, 8(4): 678-688.

SUN Wenwen, XU Yujie, DING Jie, LI Ruimin, LING Haoshu, TAN Yaqian, CHEN Haisheng. An energy system for the integration of renewable energy with energy storage in a frigid plateau region[J]. Energy Storage Science and Technology, 2019, 8(4): 678-688.

参考文献

[1] 钱钢粮. 西藏水电开发与生态环境保护[J]. 水力发电, 2019, 45(2):6-10. QIAN G L. Hydropower development and environmental protection in Tibet autonomous region[J]. Water Power, 2019, 45(2):6-10.
[2] 胡尧, 李子璇, 李勇, 等. 浅析西藏地区可再生能源开发利用现状及未来发展[J]. 太阳能, 2017(8):11-13. HU Y, LI Z X, LI Y, et al. A brief analysis of the present situation and future development of renewable energy development and utilization in Tibet[J]. Solar Energy, 2017(8):11-13.
[3] 白树华, 卢继平. 西藏高原的气候环境对风力发电的影响分析[J]. 电力建设, 2006, 27(11):37-40. BAI S H, LU J P. Analysis on influence of Tibet high plateau climate on wind power generation[J]. Electric Power Construction, 2006, 27(11):37-40.
[4] 李玉平, 徐玉杰, 李斌, 等. 跨临界二氧化碳储能系统研究[J]. 中国电机工程学报, 2018, 38(21):6367-6374. LI Y P, XU Y J, LI B, et al. Research on trans-critical carbon dioxide energy storage system[J]. Proceedings of the CSEE, 2018, 38(21):6367-6374.
[5] CHEN H S, CONG T N, YANG W, et al. Progress in electrical energy storage system:A critical review[J]. Progress in Natural Science, 2009, 19(3):291-312.
[6] ZHANG Y, XU Y J, GUO H, et al. A hybrid energy storage system with optimized operating strategy for mitigating wind power fluctuations[J]. Renewable Energy, 2018, 125:121-132.
[7] 杨勇, 郭苏, 刘群明, 等. 风电-CSP联合发电系统优化运行研究[J]. 中国电机工程学报, 2018, 38(S1):151-157. YANG Y, GUO S, LIU Q M, et al. Research on optimization operation for wind-CSP hybrid power generation system[J]. Proceedings of the CSEE, 2018, 38(S1):151-157.
[8] CHAUHAN A, SAINI R P. A review on integrated renewable energy system based power generation for stand-alone applications:confgurations, storage options, sizing methodologies and control[J]. Renewable and Sustainable Energy Reviews, 2014, 38(5):99-120.
[9] 于东霞, 张建华, 王晓燕, 等. 并网型风光储互补发电系统容量优化配置[J]. 电力系统及其自动化学报, DOI:10.19635/j.cnki.csuepsa.000127. YU D X, ZHANG J H, WANG X Y, et al. Optimization of system capacity in grid-connected wind/PV/storage hybrid system[J].Proceedings of the CSU-EPSA, DOI:10.19635/j.cnki.csu-epsa.000127
[10] 张志文, 范威, 刘军, 等. 偏远山区风光水储互补发电系统容量优化配置[J]. 电源学报, 2018, 16(5):138-146. ZHANG Z W, FAN W, LIU J, et al. Optimal capacity confguration of windsolar-water-battery complementary power generation system in remote mountainous areas[J]. Journal of Power Supply, 2018, 16(5):138-146.
[11] 黄弦超. 计及可控负荷的独立微网分布式电源容量优化[J]. 中国电机工程学报, 2018, 38(7):1962-1970. WANG X C. Capacity optimization of distributed generation for standalone microgrid considering controllable load[J]. Proceedings of the CSEE, 2018, 38(7):1962-1970.
[12] 李冰, 石建磊, 张帆, 等. 基于多电源联合系统的大规模风光消纳协调控制策略[J]. 智能电网, 2014, 2(2):15-21. LI B, SHI J L, ZHANG F, et al. A dispatch strategy for large-scale wind/photovoltaic power accommodation based on multi-generator system[J]. Smart Grid, 2014, 2(2):15-21.
[13] 何璇. 高寒地区槽式太阳能集热器与CO₂空气源热泵复合供暖系统的研究[D]. 成都:西南交通大学, 2018. HE X. Research of combining parabolic trough collectors and CO₂ air-source heat pump heating system in alpine region[D]. Chengdu:Southwest Jiaotong University, 2018.
[14] 罗继杰, 吉劼, 倪龙, 等. 基于槽式太阳能供暖技术的工程实例分析[J]. 暖通空调, 2016, 46(10):112-116. LUO J J, JI J, NI L, et al. Engineering analysis based on parabolic trough solar heating technology[J]. Heating Ventilating & Air Conditioning, 2016, 46(10):112-116.
[15] SAMOUI M, ABDELKAFI A, KRICHEN L. Optimal sizing of stand-alone photovoltaic/wind/hydrogen hybrid system supplying a desalination unit[J]. 2015, 120:263-276.
[16] 李咸善, 方婧, 郭诗书, 等. 基于灵敏度分析的并网型微电网容量优化配置[J]. 电力系统保护与控制, 2018, 46(23):8-17. LI X S, FANG J, GUO S S, et al. Capacity sizing optimal for gridconnected micro-grid based on sensitivity analysis[J]. Power System Protection and Control, 2018, 46(23):8-17.
[17] 王志峰. 太阳能热发电站设计[M]. 北京:化学工业出版社, 2014. WANG Z F. Design of solar thermal power plant[M]. Beijing:Chemical Industry Press, 2014.
[18] 张雅文. 太阳能电站双罐式熔盐蓄热系统的优化设计及研究[D]. 武汉:华中科技大学, 2012. ZHANG Y W. Study and optimal design on two-tank molten salt heat storage system in solar power pants[D]. Wuhan:Huazhong University of Science and Technology, 2012.
[19] ZAKERI B, SYRI S. Electrical energy storage systems:A comparative life cycle cost analysis[J]. Renewable and Sustainable Energy Reviews, 2015, 42(C):569-596.
[20] DING J, XU Y J, CHEN H S, et al. Value and economic estimation model for grid-scale energy storage in monopoly power markets[J]. Applied Energy, 2019, 240:986-1002.
[21] YANG H X, ZHOU W, LOU C Z. Optimal design and technoeconomic analysis of a hybrid solar-wind power generation system[J]. Applied Energy, 2009, 86(2):163-169.
[22] GUINOT B, CHAMPEL B, MONTIGNAC F, et al. Techno-economic study of a PV-hydrogen-battery hybrid system for off-grid power supply:impact of performances' ageing on optimal system sizing and competitiveness[J]. Hydrogen Energy, 2015, 40(1):623-632.
[23] BRKA A. Optimisation of stand-alone hydrogen-based renewable energy systems using intelligent techniques[D]. Australia:Edith Cowan University, 2015.
[24] 雷英杰, 张善文. MATLAB遗传算法工具箱及应用[M]. 西安:电子科技大学出版社, 2014. LEI Y J, ZHANG S W. MATLAB genetic algorithm toolbox and its application[M]. Xi'an:University of Electronic Science and Technology Press, 2004.
[25] 中华人民共和国住房和城乡建设部. 民用建筑供暖通风与空气调节设计规范:GB 50019-2003[S]. 北京:中国建筑工业出版社, 2012. Ministry of Housing and Urban-Rural Construction of the People's Republic of China. Design code for heating ventilation and air conditioning of civil buildings:GB 50019-2003[S]. Beijing:China Architecture & Building Press, 2012.
[26] 谭雅倩. 海水抽水蓄能系统特性与优化研究[D]. 北京:中国科学院大学, 2017. TAN Y Q. System characteristic and optimization study of seawater pumped hydro energy storage[D]. Beijing:University of Chinese Academy of Sciences, 2017.
[27] JENKINS D P, FLETCHER J, KANE D. Lifetime prediction and sizing of lead-acid batteries for microgeneration storage applications[J]. Renewable Power Generation Iet, 2007, 2(3):191-200.
[28] ROUHOLAMINI M, MOHAMMADIAN M. Heuristic-based power management of a grid-connected hybrid energy system combined with hydrogen storage[J]. Renewable Energy, 2016, 96:354-365.

高原高寒地区可再生能源与储能集成供能系统研究

An energy system for the integration of renewable energy with energy storage in a frigid plateau region

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	曾伟, 熊俊杰, 李建林, 马速良, 武亦文. 基于权重自适应鲸鱼优化算法的多能系统储能电站最优配置[J]. 储能科学与技术, 2022, 11(7): 2241-2249.
[2]	姚祯, 张琦, 王锐, 刘庆华, 王保国, 缪平. 生物质衍生碳材料在全钒液流电池电极方面的应用[J]. 储能科学与技术, 2022, 11(7): 2083-2091.
[3]	时雨, 张忠, 杨晶莹, 钱薇, 李昊, 赵祥, 杨欣桐. 储能电池系统提供AGC调频的机会成本建模与市场策略[J]. 储能科学与技术, 2022, 11(7): 2366-2373.
[4]	冯国会, 王天雨, 王刚. 封装方式对相变水箱蓄放热性能影响模拟分析[J]. 储能科学与技术, 2022, 11(7): 2161-2176.
[5]	董树锋, 刘灵冲, 唐坤杰, 赵海祺, 徐成司, 林立亨. 基于Simulink和低代码控制器的储能控制实验教学方法[J]. 储能科学与技术, 2022, 11(7): 2386-2397.
[6]	韩健民, 薛飞宇, 梁双印, 乔天舒. 模糊控制优化下的混合储能系统辅助燃煤机组调频仿真[J]. 储能科学与技术, 2022, 11(7): 2188-2196.
[7]	鲁志颖, 江杉, 李全龙, 马可心, 傅腾, 郑志刚, 刘志成, 李淼, 梁永胜, 董知非. 全钒液流电池在充电结束搁置阶段的开路电压变化[J]. 储能科学与技术, 2022, 11(7): 2046-2050.
[8]	郭雨涵, 郁丹, 杨鹏, 王子绩, 王金涛. 基于贪婪算法的分布式储能系统容量优化配置方法[J]. 储能科学与技术, 2022, 11(7): 2295-2304.
[9]	袁性忠, 胡斌, 郭凡, 严欢, 贾宏刚, 苏舟. 欧盟储能政策和市场规则及对我国的启示[J]. 储能科学与技术, 2022, 11(7): 2344-2353.
[10]	刘国静, 李冰洁, 胡晓燕, 岳芬, 徐际强. 澳大利亚储能相关政策与电力市场机制及对我国的启示[J]. 储能科学与技术, 2022, 11(7): 2332-2343.
[11]	胡旭, 江涵, 张锐. 沙特能源转型及氢能发展展望[J]. 储能科学与技术, 2022, 11(7): 2354-2365.
[12]	杨孝杰, 王海云, 蒋中川, 宋章华. 应用于飞轮储能的BLDC电机功率双向流动策略设计[J]. 储能科学与技术, 2022, 11(7): 2233-2240.
[13]	李洪涛, 张帅, 李旭东, 纪运广, 孙明旭, 李欣. 单罐式储能换热系统在热风无纺布工艺中的应用[J]. 储能科学与技术, 2022, 11(7): 2250-2257.
[14]	吴田, 林闽城, 海浩, 孙海渔, 温兆银, 马福元. 面向一次调频的镍氢电池系统开发[J]. 储能科学与技术, 2022, 11(7): 2213-2221.
[15]	徐光福, 姜淼, 王万纯, 魏阳, 侯炜. 大型储能电池短路故障分析与保护策略[J]. 储能科学与技术, 2022, 11(7): 2222-2232.