| 573 | 0 | 38 |
| 下载次数 | 被引频次 | 阅读次数 |
为提升能源系统灵活性以及可再生能源消纳,提出一种计及氢-氨高效利用和碳-绿证互认交易的园区多微网系统低碳协同调度策略。首先,为发挥氢、氨能的清洁特性,构建含制氢、掺氢、储氢和用氢等环节的氢能高效利用模型,以及含制氮、制氨和火电掺氨燃烧的氨能精细化利用模型,提出氢氨高效多环节利用模型;其次,研究碳交易机制和绿证交易机制的互认机理,提出碳-绿证互认交易机制,将碳-绿证互认交易机制引入园区多微网系统,探究其对园区多微网系统内部运行的影响;最后,构建以园区多微网总运行成本最小的低碳经济运行目标,并采用CPLEX求解器进行求解。仿真结果表明,所提模型可显著降低系统总成本及碳排放量,提升新能源消纳水平,实现园区MMS经济、环保及灵活运行。
Abstract:To improve the flexibility of an energy system and the consumption of renewable energy,a low-carbon collaborative scheduling strategy for a park multi-microgrid system(MMS)considering the efficient utilization of hydrogenammonia and the mutual recognition and trading of carbon-green certificates is proposed. First,to give full play to the clean characteristics of hydrogen and ammonia energy,an efficient utilization model of hydrogen energy including hydrogen production,hydrogen blending,hydrogen storage and hydrogen utilization links and a refined utilization model of ammonia energy including nitrogen production,ammonia production and ammonia-blended combustion in thermal power are constructed. On this basis,an efficient multi-link utilization model of hydrogen-ammonia is put forward. Second,the mutual recognition mechanism of carbon trading and green certificate trading mechanisms is studied,and a carbon-green certificate mutual recognition and trading mechanism is proposed. The carbon-green certificate mutual recognition and trading mechanism is introduced into the park MMS,and its impact on the internal operation of the park MMS is explored. Finally,a low-carbon economic operation objective with the minimum total operating cost of the park multi-microgrid is constructed,and the CPLEX solver is used for solving. Simulation results show that the proposed model can not only reduce the system's total cost and carbon emissions,but also improve the consumption level of renewable energy,thus realizing the economic,environmental and flexible operation of the park MMS.
[1]Ma Yiming,Wang Haixin,Hong Feng,et al. Modeling and optimization of combined heat and power with power-togas and carbon capture system in integrated energy system[J]. Energy,2021,236:121392.
[2]Wu Shuning,Li Huaqiang,Liu Yang,et al. A two-stage rolling optimization strategy for park-level integrated energy system considering multi-energy flexibility[J]. International Journal of Electrical Power and Energy Systems,2023,145:08600.
[3]徐诗鸿,张宏志,林湘宁,等(Xu Shihong,Zhang Hongzhi,Lin Xiangning,et al).近海海岛多态能源供需自洽系统日前优化调度策略(Optimal day-ahead dispatching strategy for polymorphic energy self-consistent system with supply and demand for offshore island)[J].中国电机工程学报(Proceedings of the CSEE),2019,39(S):15-29.
[4]Tan Qinliang,Ding Yihong,Ye Qi,et al. Optimization and evaluation of a dispatch model for an integrated wind-photovoltaic-thermal power system based on dynamic carbon emissions trading[J]. Applied Energy,2019,253:113598.
[5]郭梦婕,严正,周云,等(Guo Mengjie,Yan Zheng,Zhou Yun,et al).含风电制氢装置的综合能源系统优化运行(Optimized operation design of integrated energy system with wind power hydrogen production)[J].中国电力(Electric Power),2020,53(1):115-123,161.
[6]邓杰,姜飞,王文烨,等(Deng Jie,Jiang Fei,Wang Wenye,et al).考虑电热柔性负荷与氢能精细化建模的综合能源系统低碳运行(Low-carbon optimized operation of integrated energy system considering electric heating flexible load and hydrogen energy refined modeling)[J].电网技术(Power System Technology),2022,46(5):1692-1702.
[7]滕云,闫佳佳,回茜,等(Teng Yun,Yan Jiajia,Hui Qian,et al).“无废”电-氢充能服务区多源微网优化运行模型(Optimization operation model of“Zero-waste ”electricity-hydrogen charging service area multi-energy microgrid)[J].中国电机工程学报(Proceedings of the CSEE),2021,41(6):2074-2087.
[8]胡俊杰,童宇轩,刘雪涛,等(Hu Junjie,Tong Yuxuan,Liu Xuetao,et al).计及精细化氢能利用的综合能源系统多时间尺度鲁棒优化策略(Multi-time-scale robust optimization strategy for integrated energy system considering the refinement of hydrogen energy use)[J].电工技术学报(Transactions of China Electrotechnical Society),2024,39(5):1419-1435.
[9]Wang Bowen,Ni Meng,Jiao Kui. Green ammonia as a fuel[J]. Science Bulletin,2022,67(15):1530-1534.
[10]周步祥,朱文聪,朱杰,等(Zhou Buxiang,Zhu Wencong,Zhu Jie,et al).风光制氢合成氨系统的多时段可调度域分析(Multi-stage dispatchable region analysis of wind and solar power-based hydrogen production and ammonia synthesis system)[J].中国电机工程学报(Proceedings of the CSEE),2024,44(1):160-173.
[11]袁文腾,陈亮,王春波,等(Yuan Wenteng,Chen Liang,Wang Chunbo,et al).基于氨储能技术的电转氨耦合风-光-火综合能源系统双层优化调度(Bi-level optimal scheduling of power-to-ammonia coupling wind-photovoltaic-thermal integrated energy system based on ammonia energy storage technology)[J].中国电机工程学报(Proceedings of the CSEE),2023,43(18):6992-7002.
[12]姜河,周航,解相朋,等(Jiang He,Zhou Hang,Xie Xiangpeng,et al).考虑温度舒适度与碳交易的综合能源系统优化调控(Optimal control of integrated energy system considering temperature comfort and carbon trade)[J].控制理论与应用(Control Theory&Applications),2022,39(3):519-526.
[13]崔杨,曾鹏,仲悟之,等(Cui Yang,Zeng Peng,Zhong Wuzhi,et al).考虑阶梯式碳交易的电-气-热综合能源系统低碳经济调度(Low-carbon economic dispatch of electricity-gas-heat integrated energy system based on laddertype carbon trading)[J].电力自动化设备(Electric Power Automation Equipment),2021,41(3):10-17.
[14]王瑞,程杉,徐建宇,等(Wang Rui,Cheng Shan,Xu Jianyu,et al).基于主从博弈和混合需求响应的能量枢纽多时间尺度优化调度策略(Multi-time scale optimal scheduling strategy of energy hub based on master-slave game and hybrid demand response)[J].电力自动化设备(Electric Power Automation Equipment),2023,43(1):32-40.
[15]周伟,孙永辉,谢东亮,等(Zhou Wei,Sun Yonghui,Xie Dongliang,et al).计及改进阶梯型碳交易和热电联产机组灵活输出的园区综合能源系统低碳调度(Low-carbon dispatch of park-level integrated energy system considering the improved ladder-type carbon trading and flexible output of combined Heat and power unit)[J].电网技术(Power System Technology),2024,48(1):61-69.——
[16]曹雨微,郭晓鹏,董厚琦,等(Cao Yuwei,Guo Xiaopeng,Dong Houqi,et al).计及消纳责任权重的区域综合能源系统运行优化研究(Operation optimization of regional integrated energy system under responsibility of renewable energy consumption)[J].华北电力大学学报(Journal of North China Electric Power University),2022,49(3):84-95.
[17]崔杨,沈卓,王铮,等(Cui Yang,Shen Zuo,Wang Zheng,et al).考虑绿证-碳排等价交互机制的区域综合能源系统绿色调度(Green dispatch of regional integrated energy system considering green certificate-carbon emission equivalent interaction mechanism)[J].中国电机工程学报(Proceedings of the CSEE),2023,43(12):4508-4516.
[18]张智泉,陈晓杰,符杨,等(Zhang Zhiquan,Chen Xiaojie,Fu Yang,et al).含海上风电制氢的综合能源系统分布鲁棒低碳优化运行(Distributionally robust low-carbon optimal operation for integrated energy system including hydrogen production from offshore wind power)[J].电网技术(Power System Technology),2025,49(1):41-51.
[19]魏震波,李杰,杨超,等(Wei Zhenbo,Li Jie,Yang Chao,et al).基于动态掺氢策略的综合能源系统低碳经济调度(Low-carbon economic scheduling for integrated energy system based on dynamic hydrogen doping strategy)[J].电网技术(Power System Technology),2024,48(8):3155-3164.
[20]尚楠,陈政,卢治霖,等(Shang Nan,Chen Zheng,Lu Zhilin,et al).电力市场、碳市场及绿证市场互动机理及协调机制(Interaction principle and cohesive mechanism between electricity market,carbon market and green power certificate market)[J].电网技术(Power System Technology),2023,47(1):142-154.
基本信息:
DOI:10.19635/j.cnki.csu-epsa.001619
中图分类号:X322;TM73;TK01
引用信息:
[1]李军,纪秀,陈越,等.含氢氨高效利用和碳-绿证互认交易的园区多微网系统低碳协同调度[J].电力系统及其自动化学报,2025,37(12):149-158.DOI:10.19635/j.cnki.csu-epsa.001619.
基金信息:
吉林省“陆上风光三峡”高质量发展重大科技专项资助(20230303003SF)
2025-01-06
2025
2025-12-26
2025
1
2025-05-14
2025-05-14
2025-05-14