Optimal Capacity Configuration of Solar-Hydrogen Independent Power-Supply System Considering Electricity-Heat Comprehensive Utilization

doi:10.11930/j.issn.1004-9649.202006027

Abstract

Abstract: Because of geographic limit and climate influence, the energy supply problem in remote regions of Qinghai-Tibetan Plateau has not been solved effectively. Considering of local characteristics of extended cold climate, abundant light resource and disperse load distribution, since hydrogen energy has advantages of non-pollution, carbon-free emission and high calorific value, this paper proposes a framework of solar-hydrogen independent power-supply system to realize heat-electricity comprehensive supply in extended cold areas. The heat-electricity united supply model of hydrogen storage system, containing electrolyzer, hydrogen tank and hydrogen fuel cell, is formed to make full of ability of heat-electricity joint stock and joint supply. On this basis, the capacity configuration model of solar-hydrogen independent power supply system is formulated and the optimization method is provided. By case study, the performance difference between solar-hydrogen independent power supply system and the current solar-battery independent system has been contrasted and analyzed. The feasibility of solar-hydrogen system independent power supply system has been validated, and the results are hopeful to provide new ideas and methods for distributed supply of clean power in remote regions of Qinghai-Tibetan Plateau.

Key words: hydrogen storage, photovoltaic, independent power-supply system, heat-electricity comprehensive utilization, optimal capacity configuration

XIONG Yufeng, SI Yang, ZHENG Tianwen, CHEN Laijun, MEI Shengwei. Optimal Capacity Configuration of Solar-Hydrogen Independent Power-Supply System Considering Electricity-Heat Comprehensive Utilization[J]. Electric Power, 2020, 53(10): 66-73.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202006027

https://www.electricpower.com.cn/EN/Y2020/V53/I10/66

References

[1] 赵健, 王奕凡, 谢桦, 等. 高渗透率可再生能源接入系统中储能应用综述[J]. 中国电力, 2019, 52(4): 167-177
ZHAO Jian, WANG Yifan, XIE Hua, et al. Overview of energy storage applications in power systems with high penetration renewable energy resources[J]. Electrical Power, 2019, 52(4): 167-177
[2] REDDY S. Optimal power flow with renewable energy resources including storage[J]. Electrical Engineering, 2017, 99(2): 685-695.
[3] 李建林, 孟高军, 葛乐, 等. 全球能源互联网中的储能技术及应用[J]. 电器与能效管理技术, 2020(1): 1-8
LI Jianlin, MENG Gaojun, GE Le, et al. Energy storage technology and its application in global energy internet[J]. Electrical and Energy Management Technology, 2020(1): 1-8
[4] 蒋东方, 贾跃龙, 鲁强, 等. 氢能在综合能源系统中的应用前景[J]. 中国电力, 2020, 53(5): 135-142
JIANG Dongfang, JIA Yuelong, LU Qiang, et al. Application prospect of hydrogen energy in integrated energy systems[J]. Electric Power, 2020, 53(5): 135-142
[5] HASHEMIAN N, NOORPOOR A. Assessment and multi-criteria optimization of a solar and biomass-based multi-generation system: thermodynamic, exergoeconomic and exergoenvironmental aspects[J]. Energy Conversion and Management, 2019(195): 788-797.
[6] 蔡国伟, 西禹霏, 杨德友, 等. 基于风-氢的气电热联合系统模型的经济性能分析[J]. 太阳能学报, 2019, 40(5): 1465-1471
CAI Guowei, XI Yufei, YANG Deyou, et al. Economic performance analysis of model of combined gas-heat-power system based on wind-hydrogen[J]. Acta Energiae Solaris Sinica, 2019, 40(5): 1465-1471
[7] 袁铁江, 段青熙, 秦艳辉, 等. 风电-氢储能与煤化工多能耦合系统能量广域协调控制架构[J]. 高电压技术, 2016, 42(9): 2748-2755
YUAN Tiejiang, DUAN Qingxi, QIN Yanhui, et al. Energy wide-area coordination control architecture of wind power-hydrogen energy storage and coal chemical multi-functional coupling system[J]. High Voltage Engineering, 2016, 42(9): 2748-2755
[8] 李彦哲, 郭小嘉, 董海鹰, 等. 风/光/储微电网混合储能系统容量优化配置[J]. 电力系统及其自动化学报, 2020, 32(6): 123-128
LI Yanzhe, GUO Xiaojia, DONG Haiying, et al. Optimization of hybrid energy storage system capacity in microgrid of wind/PV/storage[J]. Proceedings of the CSU-EPSA, 2020, 32(6): 123-128
[9] KRONIGER D, MADLENER R. Hydrogen storage for wind parks: a real options evaluation for an optimal investment in more flexibility[J]. Applied Energy, 2014, 136(31): 931-946.
[10] 邓浩, 陈洁, 焦东东, 等. 风氢耦合并网系统能量管理控制策略[J]. 高电压技术, 2020, 46(1): 99-106
DENG Hao, CHEN Jie, JIAO Dongdong, et al. Control strategy for energy management of hybrid grid-connected system of wind and hydrogen[J]. High Voltage Engineering, 2020, 46(1): 99-106
[11] 滕云, 闫佳佳, 回茜, 等. “无废”电-氢充能服务区多源微网优化运行模型[J/OL]. 中国电机工程学报: 1-16[2020-09-21]. http://kns.cnki.net/kcms/detail/11.2107.tm.20200526.1935.008.html.
TENG Yun, YAN Jiajia, HUI Qian, et al. Optimization operation model of “zero-waste” electricity-hydrogen charging service area multi-energy microgrid[J/OL]. Proceedings of the Chinese Society for Electrical Engineering: 1-16[2020-09-21]. http://kns.cnki.net/kcms/detail/11.2107.tm.20200526.1935.008.html.
[12] WANG W, WANG S. Optimal operation strategy of power systems with renewable generations via coordinated control of hydrogen consumption[C]// Proceedings of the 8th Asia-Pacific Power and Energy Engineering Conference, Suzhou, China, April 15-17, 2016: 121-127.
[13] KHALID F, DINCER I, ROSEN M. Analysis and assessment of an integrated hydrogen energy system[J]. International Journal of Hydrogen Energy, 2016, 41(19): 7960-7967.
[14] 卢继平, 白树华. 风光氢联合式独立发电系统的建模及仿真[J]. 电网技术, 2007, 31(22): 75-79, 84
LU Jiping, BAI Shuhua. Modeling and simulation of conjoint independent power generation system consisting of power generation by wind energy, solar energy and hydrogen energy[J]. Power System Technology, 2007, 31(22): 75-79, 84
[15] 马榕谷, 陈洁, 赵军超, 等. 非并网风氢互补系统的容量多目标优化[J]. 太阳能学报, 2019, 40(2): 422-429
MA Ronggu, CHEN Jie, ZHAO Junchao, et al. Multi-objective optimization for capacity of non-grid-connected wind/hydrogen hybrid power system[J]. Acta Energiae Solaris Sinica, 2019, 40(2): 422-429
[16] 史君海, 朱新坚, 曹广益. 光伏-氢能自主发电系统稳态建模与分析[J]. 系统仿真学报, 2008, 20(7): 1884-1886, 1944
SHI Junhai, ZHU Xinjian, CAO Guangyi. Model and analysis of PV-hydrogen autonomy power system[J]. Journal of System Simulation, 2008, 20(7): 1884-1886, 1944
[17] HE G, JING H, JI J, et al. Robust state estimation for a class of nonlinear systems: fuzzy-model-based LMI approach[C]// Proceedings of the 33rd Chinese Control Conference, Nanjing, China, July 28-30, 2014: 3644-3648
[18] HUSSAIN A, CHOI I, HOON I Y, et al. Optimal operation of greenhouses in microgrids perspective[J]. IEEE Transactions on Smart Grid, 2019, 10(3): 3474-3485.
[19] 胡泊, 辛颂旭, 白建华, 等. 我国太阳能发电开发及消纳相关问题研究[J]. 中国电力, 2013, 46(1): 1-6
HU Bo, XIN Songxu, BAI Jianhua, et al. Study on issues concerning solar power development and accommodation in China[J]. Electric Power, 2013, 46(1): 1-6
[20] 刘明义, 于波, 徐景明. 固体氧化物电解水制氢系统效率[J]. 清华大学学报(自然科学版), 2009, 49(6): 868-871
LIU Mingyi, YU Bo, XU Jingming. Efficiency of solid oxide water electrolysis system for hydrogen production[J]. Journal of Tsinghua University (Science and Technology), 2009, 49(6): 868-871
[21] 李建林, 牛萌, 田立亭, 等. 光伏扶贫电站光-储协同配置方法研究[J]. 太阳能学报, 2019, 40(1): 79-86
LI Jianlin, NIU Meng, TIAN Liting, et al. Research on pv-storage coordinated capacity configuration for photovoltaic poverty alleviation station[J]. Acta Energiae Solaris Sinica, 2019, 40(1): 79-86
[22] 诺桑, 胡贵军, 措加旺姆, 等. 西藏高寒地区离网光伏系统蓄电池寿命研究[J]. 节能与环保, 2019(2): 89-91
NUO Sang, HU Guijun CUOJIA Wangmu, et al. Study on battery life of off-grid photovoltaic system in alpine region of Tibet[J]. Energy Conservation and Environment Protection, 2019(2): 89-91
[23] 元博, 张运洲, 鲁刚, 等. 电力系统中储能发展前景及应用关键问题研究[J]. 中国电力, 2019, 52(3): 1-8
YUAN Bo, ZHANG Yunzhou, LU Gang, et al. Research on key issues of energy storage development and application in power systems[J]. Electric Power, 2019, 52(3): 1-8
[24] 杜祥伟, 沈艳霞, 李静. 基于模型预测控制的直流微网混合储能能量管理策略[J]. 电力系统保护与控制, 2020, 48(16): 69-75
DU Xiangwei, SHEN Yanxia, LI Jing. Energy management strategy of DC microgrid hybrid energy storage based on model predictive control[J]. Power System Protection and Control, 2020, 48(16): 69-75