基于NSGA-&#x02162;算法的氢能产业园区多能联供系统低碳经济调度

张金良; 刘一硕

doi:10.19912/j.0254-0096.tynxb.2024-1939

PDF(3871 KB)

太阳能学报 ›› 2026, Vol. 47 ›› Issue (3) : 564-574. DOI: 10.19912/j.0254-0096.tynxb.2024-1939

基于NSGA-Ⅲ算法的氢能产业园区多能联供系统低碳经济调度

张金良, 刘一硕

作者信息 +

LOW-CARBON ECONOMIC DISPATCH OF MULTI-ENERGY SUPPLY SYSTEM IN HYDROGEN ENERGY INDUSTRIAL PARK BASED ON NSGA-Ⅲ ALGORITHM

Zhang Jinliang, Liu Yishuo

Author information +

文章历史 +

摘要

为保障氢能产业园区的安全经济运行,建立考虑风光出力的不确定性以及氢负荷需求响应的电热冷气氢多能联供系统协同优化调度模型。首先,以绿氢产业园区为基础,提出典型园区级电-热-冷-气-氢多能联供系统架构,并从系统的源-网-荷-储各角度建立包括电气氢耦合以及电热冷三联供系统的模型。其次,建立多目标函数,以实现园区整体运行成本最小、能源利用率最大以及碳排放最小为目标,采用NSGA-Ⅲ算法结合Pareto前沿寻优进行氢能产业园区多能联供系统协同优化调度。最后,通过拉丁超立方方法及K-均值聚类算法模拟风光出力的不确定性,对比不同场景下的优化调度结果,验证所提模型的低碳性和经济性。

Abstract

In order to ensure the safe and economic operation of hydrogen industrial parks, a co-optimized scheduling model of electric-heat-cool-gas-hydrogen multi-energy cogeneration system that takes into account the uncertainty of wind and photovoltaic power output and the demand response of hydrogen load is established. Firstly, based on the Green Hydrogen Industrial Park, a typical park-level electricity-heat-cooling-gas-hydrogen multi-energy cogeneration system architecture is proposed, and a model including electric-hydrogen coupling as well as electric-heat-cooling triple-supply system is established from the perspectives of the system’s source-grid-load-storage. Secondly, a multi-objective function is established, and the NSGA-III algorithm combined with Pareto frontier optimisation is used for the co-optimised scheduling of the MECS in hydrogen industrial parks with the objectives of achieving the minimum overall operating cost, the maximum energy utilisation rate, and the minimum carbon emissions in the park. Finally, the uncertainty of the wind and photovoltaic output is simulated by the Latin hypercube method and K-means clustering algorithm, and the optimal scheduling results in different scenarios are compared to verify the low-carbon and economic performance of the proposed model.

导出引用

张金良, 刘一硕. 基于NSGA-Ⅲ算法的氢能产业园区多能联供系统低碳经济调度[J]. 太阳能学报. 2026, 47(3): 564-574 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1939

Zhang Jinliang, Liu Yishuo. LOW-CARBON ECONOMIC DISPATCH OF MULTI-ENERGY SUPPLY SYSTEM IN HYDROGEN ENERGY INDUSTRIAL PARK BASED ON NSGA-Ⅲ ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(3): 564-574 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1939

中图分类号： TM73

参考文献

[1] 卢佳丽, 杜文婷, 李柯雨. 首座中欧合作氢能产业园开园[N]. 成都日报, 2024-01-08(2).
LU J L, DU W T, LI K Y. The first China-EU Cooperative hydrogen energy industrial park opens[N]. Chengdu daily,2024-01-08(2).
[2] 艾欣, 陈政琦, 孙英云, 等. 基于需求响应的电-热-气耦合系统综合直接负荷控制协调优化研究[J]. 电网技术, 2019, 43(4): 1160-1171.
AI X, CHEN Z Q, SUN Y Y, et al.Study on integrated DLC coordination optimization of electric-thermal-gas coupling system considering demand response[J]. Power system technology, 2019, 43(4): 1160-1171.
[3] 柳思贤, 丁坤, 董海鹰. 考虑碳捕集和电转气的零碳园区综合能源系统经济调度[J]. 太阳能学报, 2024, 45(9): 188-196.
LIU S X, DING K, DONG H Y.Zero-carbon economic dispatch of park integrated energy system considering carbon capture and power to gas[J]. Acta energiae solaris sinica, 2024, 45(9): 188-196.
[4] 吴勇, 吕林, 许立雄, 等. 考虑电/热/气耦合需求响应的多能微网多种储能容量综合优化配置[J]. 电力系统保护与控制, 2020, 48(16): 1-10.
WU Y, LYU L, XU L X, et al.Optimized allocation of various energy storage capacities in a multi-energy micro-grid considering electrical/thermal/gas coupling demand response[J]. Power system protection and control, 2020, 48(16): 1-10.
[5] 刘帅东, 韩松, 荣娜, 等. 计及[火用]效率的电-气-热综合能源系统多目标优化调度方法[J]. 电网技术, 2024, 48(7): 2715-2722, I0010, I0011, I0012.
LIU S D, HAN S, RONG N, et al. A multi-objective optimal scheduling method for integrated electricity-gas-heat energy system taking into account the exergy efficiency of the integrated energy system[J]. Power system technology, 2024, 48(7): 2715-2722, I0010, I0011, I0012.
[6] 邓钰龙, 李春燕, 邵常政, 等. 电热气氢综合能源系统随机优化调度[J]. 太阳能学报, 2023, 44(11): 522-529.
DENG Y L, LI C Y, SHAO C Z, et al.Stochastic optimal scheduling of integrated electric-heat-gas-hydrogen energy system[J]. Acta energiae solaris sinica, 2023, 44(11): 522-529.
[7] 陆如泉. 我对氢能发展持乐观态度[J]. 中国石油和化工产业观察, 2024(3): 75-76.
LU R Q.I am optimistic about the development of hydrogen energy[J]. China petrochemical industry observer, 2024(3): 75-76.
[8] 许传博, 刘建国. 氢储能在我国新型电力系统中的应用价值、挑战及展望[J]. 中国工程科学, 2022, 24(3): 89-99.
XU C B, LIU J G.Hydrogen energy storage in China’s new-type power system: application value, challenges, and prospects[J]. Strategic study of CAE, 2022, 24(3): 89-99.
[9] 李永毅, 王子晗, 张磊, 等. 风-光-氢-燃气轮机一体化氢电耦合系统容量配置优化[J]. 中国电机工程学报, 2025, 45(2): 489-502.
LI Y Y, WANG Z H, ZHANG L, et al.Capacity allocation optimization of integrated hydrogen-electric coupling system of wind-solar-hydrogen-gas trubine[J]. Proceedings of the CSEE, 2025, 45(2): 489-502.
[10] 李蕊睿, 李奇, 蒲雨辰, 等. 计及功率交互约束的含电-氢混合储能的多微电网系统容量优化配置[J]. 电力系统保护与控制, 2022, 50(14): 53-64.
LI R R, LI Q, PU Y C, et al.Optimal configuration of an electric-hydrogen hybrid energy storage multi-microgrid system considering power interaction constraints[J]. Power system protection and control, 2022, 50(14): 53-64.
[11] 张继红, 阚圣钧, 化玉伟, 等. 基于氢气储能的热电联供微电网容量优化配置[J]. 太阳能学报, 2022, 43(6): 428-434.
ZHANG J H, KAN S J, HUA Y W, et al.Capacity optimization of chp microgrid based on hydrogen energy storage[J]. Acta energiae solaris sinica, 2022, 43(6): 428-434.
[12] 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 Y, YAN S, ZHONG W Z, et al.Optimal thermoelectric dispatching of regional integrated energy system with power-to-gas[J]. Power system technology, 2020, 44(11): 4254-4264.
[13] CHEN H P, WU H, KAN T Y, et al.Low-carbon economic dispatch of integrated energy system containing electric hydrogen production based on VMD-GRU short-term wind power prediction[J]. International journal of electrical power & energy systems, 2023, 154: 109420.
[14] 袁铁江, 曾婧, 张明扬. 计及热负荷柔性的户用氢能系统运行优化研究[J]. 太阳能学报, 2024, 45(7): 29-40.
YUAN T J, ZENG J, ZHANG M Y.Optimization study on operation of household hydrogen energy system considering thermal load flexibility[J]. Acta energiae solaris sinica, 2024, 45(7): 29-40.
[15] 刘世宇, 陈俊杰. “十四五”新能源消纳形势分析与建议[J]. 新能源科技, 2021(10): 35-37.
LIU S Y, CHEN J J.Analysis and suggestions on the consumption situation of new energy in the 14th Five-Year Plan[J]. New energy technology, 2021(10): 35-37.
[16] 包哲, 李薇, 张潇方, 等. 基于风、光联合出力仿真的多能联供系统鲁棒机会约束优化研究[J]. 系统仿真学报, 2024, 36(8): 1895-1913.
BAO Z, LI W, ZHANG X F, et al.Study on robust chance constrained optimization of multi-energy supply system based on wind and solar power combined output simulation[J]. Journal of system simulation, 2024, 36(8): 1895-1913.
[17] 任恒宇, 韩冬, 任曦骏, 等. 基于时变价格弹性矩阵的深谷电价多目标定价策略[J]. 电网技术, 2024, 48(3): 958-967.
REN H Y, HAN D, REN X J, et al.Multi-objective deep valley electricity pricing model based on time-varying price elasticity matrix[J]. Power system technology, 2024, 48(3): 958-967.
[18] 邓倩文, 李奇, 邱宜彬, 等. 考虑多灵活性资源联合运行的综合能源系统优化配置方法[J]. 上海交通大学学报, 2025, 59(7): 912-922.
DENG Q W, LI Q, QIU Y B, et al.Optimal allocation method of integrated energy system considering joint operation of multiple flexible resources[J]. Journal of Shanghai Jiao Tong University, 2025, 59(7): 912-922.
[19] AGRAWAL S, PANIGRAHI B K, TIWARI M K.Multi objective particle swarm algorithm with fuzzy clustering for electrical power dispatch[J]. IEEE transactions on evolutionary computation, 2008, 12(5): 529-541.
[20] 袁铁江, 孙传帅, 谭捷, 等. 考虑氢负荷的新型电力系统电源规划[J]. 中国电机工程学报, 2022, 42(17): 6316-6326.
YUAN T J, SUN C S, TAN J, et al.Generation planning of new power system considering hydrogen load[J]. Proceedings of the CSEE, 2022, 42(17): 6316-6326.