A Day-Ahead Dispatching Method of Regional Integrated Electric-Hydrogen Energy Systems Considering the Heat Recycle of Hydrogen Systems
Luo Xiao1, Ren Zhouyang1, Wen Zihao1, Zhang Pan2, Wang Hao1, Yang Zhixue1, Zhang Jiyue1
1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology School of Electrical Engineering Chongqing University Chongqing 400044 China; 2. Guangxi Power Grid Co. Ltd Nanning 530000 China
Abstract：Developing regional integrated electric-hydrogen energy system is the key path to realize green and low-carbon transformation of energy systems. The flexibility and economy of integrated energy systems are impacted by the thermal characteristic of hydrogen energy systems. Unfortunately, the heat recycle of hydrogen energy systems is ignored by the existing dispatching methods, which leads to the decrease of energy efficiency and economic benefits. In addition, the heat characteristics of hydrogen energy equipment are not fully considered, which means the flexibility of hydrogen energy systems cannot be captured and utilized in the coordinated operation of integrated electric-hydrogen energy systems. Hence, a day-ahead dispatching method of regional integrated electric-hydrogen energy systems considering hydrogen system heat recycle is proposed in this paper. The heat recycle characteristics of hydrogen energy systems are modeled and considered to improve the secure and economical operation of integrated electric-hydrogen energy systems. The operation characteristics of electrolysers are analysed and modelled according to the principle of electrolytic reaction and thermodynamic equation. An operation model for electrolysers is then developed considering the multiple operation modes of electrolysers. Based on the thermochemical equations of methanation reactions, an operation model for methanation equipment is proposed considering its multiple operation models. Then, an operation model of hydrogen energy systems is presented considering heat recycle. An optimal dispatching model for integrated electric-hydrogen energy systems is proposed considering the heat recycle of hydrogen energy systems. The objective function is set as the minimized operation cost of the integrated electric-hydrogen energy systems, which includes carbon emission cost, operation and maintenance cost, energy purchase cost, and the profits of energy sale. A heat distribution system model is presented considering the heat recycle of hydrogen energy systems. A big-M based linearization method is proposed to transform the nonlinear heat distribution model into a linear model. The secure operation constraints of integrated electric-hydrogen energy systems are formulated in the proposed dispatching model, which include the operation constraints of heat distribution systems and power distribution networks, power flow balance constraints, gas flow balance constraints, the operation constraints of combined heat and power units, hydrogen storage tanks, methanation equipment, fuel cells and electrolysers. Two standard test systems are used to validate the effectiveness and advantages of the proposed dispatching method. Four scenarios are designed and simulated whether considering heat recycle of hydrogen energy systems. The following conclusions can be drawn from the simulation results. (1) The electrolyser has the capabilities of flexible electric-heating regulation and heat storage. The heat recycle of electrolyser can be controlled to enhance the coordinated operation of heat distribution system, power distribution network and hydrogen energy system according to the external energy demands. The energy utilization efficiency of the integrated electric-hydrogen energy system can be improved. (2) The energy efficiency of hydrogen energy equipment can be largely improved by considering heat recovery. The heat recovery ability of low-temperature electrolyser is stronger than that of high-temperature electrolyser. (3) The operational flexibility and cost of electric-hydrogen regional integrated energy system are enhanced and the amount of abandoned new energy are reduced by considering the heat recycle of hydrogen system.
罗潇, 任洲洋, 温紫豪, 张盼, 王皓, 杨志学, 张基岳. 考虑氢能系统热回收的电氢区域综合能源系统日前优化运行[J]. 电工技术学报, 2023, 38(23): 6359-6372.
Luo Xiao, Ren Zhouyang, Wen Zihao, Zhang Pan, Wang Hao, Yang Zhixue, Zhang Jiyue. A Day-Ahead Dispatching Method of Regional Integrated Electric-Hydrogen Energy Systems Considering the Heat Recycle of Hydrogen Systems. Transactions of China Electrotechnical Society, 2023, 38(23): 6359-6372.
[1] 苑基荣, 任彦, 胡泽曦, 等. 中国减排承诺激励全球气候行动[N]. 人民日报, 2020-10-12(3). [2] 周孝信, 陈树勇, 鲁宗相, 等. 能源转型中我国新一代电力系统的技术特征[J]. 中国电机工程学报, 2018, 38(7): 1893-1904, 2205. Zhou Xiaoxin, Chen Shuyong, Lu Zongxiang, et al.Technology features of the new generation power system in China[J]. Proceedings of the CSEE, 2018, 38(7): 1893-1904, 2205. [3] 李争, 张蕊, 孙鹤旭, 等. 可再生能源多能互补制-储-运氢关键技术综述[J]. 电工技术学报, 2021, 36(3): 446-462. Li Zheng, Zhang Rui, Sun Hexu, et al.Review on key technologies of hydrogen generation, storage and transportation based on multi-energy complementary renewable energy[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 446-462. [4] 刘玮, 万燕鸣, 熊亚林, 等. 碳中和目标下电解水制氢关键技术及价格平准化分析[J]. 电工技术学报, 2022, 37(11): 2888-2896. Liu Wei, Wan Yanming, Xiong Yalin, et al.Key technology of water electrolysis and levelized cost of hydrogen analysis under carbon neutral vision[J]. Transactions of China Electrotechnical Society, 2022, 37(11): 2888-2896. [5] 熊宇峰, 司杨, 郑天文, 等. 基于主从博弈的工业园区综合能源系统氢储能优化配置[J]. 电工技术学报, 2021, 36(3): 507-516. Xiong Yufeng, Si Yang, Zheng Tianwen, et al.Optimal configuration of hydrogen storage in industrial park integrated energy system based on stackelberg game[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 507-516. [6] 沈小军, 聂聪颖, 吕洪. 计及电热特性的离网型风电制氢碱性电解槽阵列优化控制策略[J]. 电工技术学报, 2021, 36(3): 463-472. Shen Xiaojun, Nie Congying, Lü Hong.Coordination control strategy of wind power-hydrogen alkaline electrolyzer bank considering electrothermal characteristics[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 463-472. [7] 中华人民共和国国家发展和改革委员会《氢能产业发展中长期规划(2021-2035年)》[EB/OL]. [2022-03-27]. https://www.ndrc.gov.cn/xxgk/zcfb/ghwb/202203/ t202203231320038.html?code=&state=123. [8] 崔杨, 闫石, 仲悟之, 等. 含电转气的区域综合能源系统热电优化调度[J]. 电网技术, 2020, 44(11): 4254-4264. Cui Yang, Yan Shi, Zhong Wuzhi, et al.Optimal thermoelectric dispatching of regional integrated energy system with power-to-gas[J]. Power System Technology, 2020, 44(11): 4254-4264. [9] 余娟, 时权妍, 杨知方, 等. 考虑电解水与甲烷化运行特性的电转气系统日前调度方法[J]. 电力系统自动化, 2019, 43(18): 18-25. Yu Juan, Shi Quanyan, Yang Zhifang, et al.Day-ahead scheduling method of power-to-gas system considering operation characteristics of water electrolysis and methanation[J]. Automation of Electric Power Systems, 2019, 43(18): 18-25. [10] 董帅, 王成福, 梁军, 等. 计及电转气运行成本的综合能源系统多目标日前优化调度[J]. 电力系统自动化, 2018, 42(11): 8-15, 121. Dong Shuai, Wang Chengfu, Liang Jun, et al.Multi-objective optimal day-ahead dispatch of integrated energy system considering power-to-gas operation cost[J]. Automation of Electric Power Systems, 2018, 42(11): 8-15, 121. [11] 魏震波, 黄宇涵, 高红均, 等. 含电转气和热电解耦热电联产机组的区域能源互联网联合经济调度[J]. 电网技术, 2018, 42(11): 3512-3520. Wei Zhenbo, Huang Yuhan, Gao Hongjun, et al.Joint economic scheduling of power-to-gas and thermoelectric decoupling CHP in regional energy Internet[J]. Power System Technology, 2018, 42(11): 3512-3520. [12] Lin Li, Zheng Xinyao, Gu Jia.Optimal dispatching of combined heat and power system considering the power demand elasticity of hydrogen storage active load[J]. IEEE Transactions on Industry Applications, 2022, 58(2): 2760-2770. [13] Haggi H, Sun Wei, Fenton J M, et al.Risk-averse cooperative operation of PV and hydrogen systems in active distribution networks[J]. IEEE Systems Journal, 2022, 16(3): 3972-3981. [14] Götz M, Lefebvre J, Mörs F, et al.Renewable Power-to-Gas: a technological and economic review[J]. Renewable Energy, 2016, 85: 1371-1390. [15] Dincer I, Acar C.Review and evaluation of hydrogen production methods for better sustainability[J]. International Journal of Hydrogen Energy, 2015, 40(34): 11094-11111. [16] 侯慧, 刘鹏, 黄亮, 等. 考虑不确定性的电-热-氢综合能源系统规划[J]. 电工技术学报, 2021, 36(增刊1): 133-144. Hou Hui, Liu Peng, Huang Liang, et al.Planning of electricity-heat-hydrogen integrated energy system considering uncertainties[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 133-144. Considering Uncertainties[J]. Transactions of China Electrotechnical Society, 2021, 36(S1): 133-144. [17] Li Jiarong, Lin Jin, Song Yonghua, et al.Operation optimization of power to hydrogen and heat (P2HH) in ADN coordinated with the district heating network[J]. IEEE Transactions on Sustainable Energy, 2019, 10(4): 1672-1683. [18] Cheng Ying, Liu Mingbo, Chen Honglin, et al.Optimization of multi-carrier energy system based on new operation mechanism modelling of power-to-gas integrated with CO2-based electrothermal energy storage[J]. Energy, 2021, 216: 119269. [19] Niknam T, Kavousi-Fard A, Ostadi A.Impact of hydrogen production and thermal energy recovery of PEMFCPPs on optimal management of renewable microgrids[J]. IEEE Transactions on Industrial Informatics, 2015, 11(5): 1190-1197. [20] 张锴, 郭小璇, 韩帅, 等. 基于电转气反应热应用和合作博弈的电转气装置容量规划[J]. 电网技术, 2021, 45(7): 2801-2811. Zhang Kai, Guo Xiaoxuan, Han Shuai, et al.Capacity planning of power-to-gas devices considering reaction heat recovery and cooperative game[J]. Power System Technology, 2021, 45(7): 2801-2811. [21] Strümpler F, Brosig C.Calculation model for the waste heat potential of the power-to-gas process[C]//2018 7th International Energy and Sustainability Conference (IESC), Cologne, Germany, 2018: 1-7. [22] 孙雯, 陈紫薇, 张玉琼, 等. 基于动态规划的SOFC冷热电三联供综合能源系统日前经济调度[J]. 中国电机工程学报, 2022, 42(21): 7775-7784. Sun Wen, Chen Ziwei, Zhang Yuqiong, et al.Economic day-ahead scheduling of SOFC-based integrated tri-generation energy system using dynamic programming[J]. Proceedings of the CSEE, 2022, 42(21): 7775-7784. [23] 随权, 马啸, 魏繁荣, 等. 计及燃料电池热-电综合利用的能源网日前调度优化策略[J]. 中国电机工程学报, 2019, 39(6): 1603-1613, 1857. Sui Quan, Ma Xiao, Wei Fanrong, et al.Day-ahead dispatching optimization strategy for energy network considering fuel cell thermal-electric comprehensive utilization[J]. Proceedings of the CSEE, 2019, 39(6): 1603-1613, 1857. [24] Xing Xuetao, Lin Jin, Song Yonghua, et al.Optimization of hydrogen yield of a high-temperature electrolysis system with coordinated temperature and feed factors at various loading conditions: a model-based study[J]. Applied Energy, 2018, 232: 368-385. [25] 江悦, 沈小军, 吕洪, 等. 碱性电解槽运行特性数字孪生模型构建及仿真[J]. 电工技术学报, 2022, 37(11): 2897-2908. Jiang Yue, Shen Xiaojun, Lü Hong, et al.Construction and simulation of operation digital twin model for alkaline water electrolyzer[J]. Transactions of China Electrotechnical Society, 2022, 37(11): 2897-2908. [26] Chen X, Kang C, O'Malley M, et al. Increasing the flexibility of combined heat and power for wind power integration in China: modeling and implications[J]. IEEE Transactions on Power Systems, 2015, 30(4): 1848-1857. [27] Petipas F, Brisse A, Bouallou C.Model-based behaviour of a high temperature electrolyser system operated atvarious loads[J]. Journal of Power Sources, 2013, 239: 584-595. [28] 李佳蓉, 林今, 邢学韬, 等. 主动配电网中基于统一运行模型的电制氢(P2H)模块组合选型与优化规划[J]. 中国电机工程学报, 2021, 41(12): 4021-4033. Li Jiarong, Lin Jin, Xing Xuetao, et al.Technology portfolio selection and optimal planning of power-to-hydrogen(P2H) modules in active distribution network[J]. Proceedings of the CSEE, 2021, 41(12): 4021-4033. [29] Pan Guangsheng, Gu Wei, Lu Yuping, et al.Accurate modeling of a profit-driven power to hydrogen and methane plant toward strategic bidding within multi-type markets[J]. IEEE Transactions on Smart Grid, 2021, 12(1): 338-349. [30] Lu Yihan, Yu Xiaodan, Jin Xiaolong, et al.Bi-level optimization framework for buildings to heating grid integration in integrated community energy systems[J]. IEEE Transactions on Sustainable Energy, 2021, 12(2): 860-873. [31] Pan Guangsheng, Gu Wei, Lu Yuping, et al.Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage[J]. IEEE Transactions on Sustainable Energy, 2020, 11(4): 2662-2676. [32] Gurobi Optimization.Gurobi optimizer performance benchmarks [EB/OL]. [2021].https://www.gurobi. com/ products/gurobi-optimizer/. [33] Fu Chen, Lin Jin, Song Yonghua, et al.Optimal operation of an integrated energy system incorporated with HCNG distribution networks[J]. IEEE Transactions on Sustainable Energy, 2020, 11(4): 2141-2151. [34] Zhao Pengfei, Lu Xi, Cao Zhidong, et al.Volt-VAR-pressure optimization of integrated energy systems with hydrogen injection[J]. IEEE Transactions on Power Systems, 2021, 36(3): 2403-2415. [35] Li Yang, Li Zhiyi, Wen Fushuan, et al.Privacy-preserving optimal dispatch for an integrated power distribution and natural gas system in networked energy hubs[J]. IEEE Transactions on Sustainable Energy, 2019, 10(4): 2028-2038. [36] Cao Yang, Wei Wei, Wu Lei, et al.Decentralized operation of interdependent power distribution network and district heating network: a market-driven approach[J]. IEEE Transactions on Smart Grid, 2019, 10(5): 5374-5385. [37] Pan Guangsheng, Gu Wei, Qiu Haifeng, et al.Bi-level mixed-integer planning for electricity-hydrogen integrated energy system considering levelized cost of hydrogen[J]. Applied Energy, 2020, 270: 115176. [38] Shao Chengcheng, Feng Chenjia, Shahidehpour M, et al.Optimal stochastic operation of integrated electric power and renewable energy with vehicle-based hydrogen energy system[J]. IEEE Transactions on Power Systems, 2021, 36(5): 4310-4321. [39] Wang Xiaobo, Huang Wentao, Wei Wei, et al.Day-ahead optimal economic dispatching of integrated port energy systems considering hydrogen[J]. IEEE Transactions on Industry Applications, 2022, 58(2): 2619-2629.
2023, Vol. 38 
