考虑碳排放的孤岛综合能源系统多目标规划优化Research on multi-objective planning optimization of islanded integrated energy system concerning carbon emissions
王晓鹰,徐婧,杨兆宇,冯征
摘要(Abstract):
针对孤岛依赖传统化石能源供能引起的污染及碳排放高的问题,提出了一种考虑碳排放的孤岛综合能源系统多目标规划优化方法。在构建设备模型的基础上,考虑气候参数波动对可再生能源出力的影响,逐时模拟系统全年运行情况,以系统的生命周期成本及生命周期二氧化碳排放为优化目标,结合非支配排序遗传算法Ⅱ构建了孤岛综合能源系统多目标规划优化模型,采用加权平均算子对优化结果决策;以烟台某孤岛为例,分析了以典型日和全年逐时数据作为模型输入对规划结果的影响,探究了可再生能源设备投资变化和天然气价格以及风光装机和蓄电池容量对优化目标的影响,获得了不同目标权重下各设备的最优容量。结果表明,配置可再生能源及蓄电池可使生命周期二氧化碳排放降低26.95%~55.96%,但当生命周期二氧化碳排放权重由0.6增至1.0时,主要依赖增加蓄电池装机容量降低碳排放,生命周期成本增加210.13%,而生命周期二氧化碳排放仅降低8.59%。该孤岛综合能源系统规划方法为决策者在孤岛规划综合能源系统时权衡低碳成本和能源供应经济性提供了参考。
关键词(KeyWords): 孤岛综合能源系统;规划优化;生命周期成本;二氧化碳排放;非支配排序遗传算法Ⅱ
基金项目(Foundation): 国家自然科学基金项目(51906171)~~
作者(Author): 王晓鹰,徐婧,杨兆宇,冯征
DOI: 10.19666/j.rlfd.202306027
参考文献(References):
- [1]舒印彪,张丽英,张运洲,等.我国电力碳达峰、碳中和路径研究[J].中国工程科学, 2021, 23(6):1-14.SHU Yinbiao, ZHANG Liying, Zhang Yunzhou, et al.Carbon peak and carbon neutrality path for China’s power industry[J]. Strategic Study of Chinese Academy of Engineering, 2021, 23(6):1-14.
- [2]徐箭,谭昌奇,廖思阳,等.考虑需求侧管理的孤岛微电网频率协调控制策略[J].武汉大学学报(工学版),2022, 55(9):886-893.XU Jian, TAN Changqi, LIAO Siyang, et al. Coordinated control strategy of island microgrid frequency considering demand side management[J]. Engineering Journal of Wuhan University, 2022, 55(9):886-893.
- [3]任洪波,王广涛,李琦芬,等.供需互动视角下区域综合能源系统设备配置与运行策略协同优化研究[J].热力发电, 2020, 49(3):60-67.REN Hongbo, WANG Guangtao, LI Qifen, et al.Collaborative optimization of equipment configuration and operation strategy for integrated energy systems based on supply-demand interaction[J]. Thermal Power Generation, 2020, 49(3):60-67.
- [4]贾宏杰,穆云飞,余晓丹.对我国综合能源系统发展的思考[J].电力建设, 2015, 36(1):16-25.JIA Hongjie, MU Yunfei, YU Xiaodan. Thought about the integrated energy system in China[J]. Electric Power Construction, 2015, 36(1):16-25.
- [5]王丹,李思源,贾宏杰,等.含可再生能源的区域综合能源系统区间化安全域研究(一):概念、建模与降维观测[J].中国电机工程学报, 2022, 42(9):3188-3204.WANG Dan, LI Siyuan, JIA Hongjie, et al. Research on interval security region of regional integrated energy system integrated with renewable energy sources(Part I):concepts, modeling and dimension reduction observation[J]. Proceedings of the CSEE, 2022, 42(9):3188-3204.
- [6]王相宇,任洪波,吴琼,等.面向碳中和的多源异质全可再生能源系统优化规划方法研究[J].热能动力工程,2022, 37(7):136-145.WANG Xiangyu, REN Hongbo, WU Qiong, et al.Research on optimal planning method of multi-source heterogeneous all-renewable energy system facing carbon neutrality[J]. Journal of Engineering for Thermal Energy and Power, 2022, 37(7):136-145.
- [7]沈红萍.孤岛式LNG冷热电三联供系统开发设计与分析[D].广州:华南理工大学, 2013:55-68.SHEN Hongping. Design and analysis on liquefied natural gas-combined cooling heating and power(LNG-CCHP)system[D]. Guangzhou:South China University of Technology, 2013:55-68.
- [8] ALIREZA H M, SEBASTIAN A A E, BEHZAD N, et al.Techno-economic feasibility of photovoltaic, wind, diesel and hybrid electrification systems for off-grid rural electrification in Colombia[J]. Renewable Energy, 2016,97:297-305.
- [9]王荣杰,詹宜巨,周海峰.孤岛式柴油机混合能源系统优化配置研究[J].太阳能学报, 2019, 40(2):348-355.WANG Rongjie, ZHAN Yiju, ZHOU Haifeng. Research on optimal sizing of stand-alone diesel-based hybrid energy systems[J]. Acta Energiae Solaris Sinica, 2019,40(2):348-355.
- [10] LUO X, LIU J, LIU Y, et al. Bi-level optimiz-ation of design, operation, and subsidies for standalone solar/diesel multi-generation energy systems[J]. Sustainable Cities and Society, 2019, 48:101592.
- [11] LUO X, ZHU Y, LIU J, et al. Design and analysis of a combined desalination and standalone CCHP(combined cooling heating and power)system integrating solar energy based on a bi-level optimization model[J].Sustainable Cities and Society, 2018, 43:166-175.
- [12]黄云云,吴健,王斌,等.基于改进灰狼算法的混合发电系统优化设计[J].福州大学学报(自然科学版),2021, 49(6):775-781.HUANG Yunyun, WU Jian, WANG Bin, et al. Sizing optimization of hybrid generation system based on improved grey wolf optimization[J]. Journal of Fuzhou University(Natural Science Edition), 2021, 49(6):775-781.
- [13]赵超,王斌,孙志新,等.基于改进灰狼算法的独立微电网容量优化配置[J].太阳能学报, 2022, 43(1):256-262.ZHAO Chao, WANG Bin, SUN Zhixin, et al. Optimal configuration optimization of islanded microgrid using improved grey wolf optimizer algorithm[J]. Acta Energiae Solaris Sinica, 2022, 43(1):256-262.
- [14]杜永峰.计及风光不确定性的电气热综合能源系统日前区间优化[J].热力发电, 2022, 51(2):85-91.DU Yongfeng. Day-ahead interval optimization of electricity-gas-heat integrated energy system considering uncertainty of wind and PV[J]. Thermal Power Generation, 2022, 51(2):85-91.
- [15] DUFFIE J, BECKMAN W. Solar engineering of thermal processes, photovoltaics and wind[M]. New York:John Wiley&Sons, 2013:745-773.
- [16] LYDIA M, KUMAR S S, SELVAKUMAR A I, et al. A comprehensive review on wind turbine power curve modeling techniques[J]. Renewable and Sustainable Energy Reviews, 2014, 30:452-460.
- [17]蔡睿贤,张娜.单轴恒速燃气轮机及其功热并供装置的典型变工况特性[J].工程热物理学报, 1998(2):145-149.CAI Ruixian, ZHANG Na. Typical off design characteristics of single shaft constant speed gas turbine and its combined power and heat supply device[J]. Journal of Engineering Thermophysics, 1998(2):145-149.
- [18]周灿煌.区域综合能源系统的规划与运行优化研究[D].广州:华南理工大学, 2018:31.ZHOU Canhuang. Optimal planning and operation of district integrated energy system[D]. Guangzhou:South China University of Technology, 2018:31.
- [19] IRENA. Renewable Power Generation Costs in 2020[R].Abu Dhabi:International Renewable Energy Agency,2021:10-11.
- [20] CAMPBELL M A P B J. The drivers of the levelized cost of electricity for utility-scale photovoltaics[R]. Sunpower,2008:5.
- [21] WEI D, CHEN A, SUN B, et al. Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system[J]. Energy, 2016,98:296-307.
- [22] PRASAD D D, KUMAR D S, BASU M. Application of NSGA-II for environmental constraint economic dispatch of thermal-wind-solar power system[J]. Renewable Energy Focus, 2022, 43:239-245.
- [23]高维东,吕丽霞,王梓齐,等.基于NSGA-II的塔式太阳能电站定日镜场调度方案研究[J].热力发电,2021, 50(5):94-101.GAO Weidong, LYU Lixia, WANG Ziqi, et al. Scheduling scheme of heliostat field of tower solar power station based on NSGA-II[J]. Thermal Power Generation, 2021,50(5):94-101.
- [24]中华人民共和国国土资源部.光伏发电站工程项目用地控制指标[R].北京:中华人民共和国国土资源部,2015:8-36.Ministry of Land and Resources. Land use control index of photovoltaic power station project[R]. Beijing:Ministry of Land and Resources of the People’s Republic of China, 2015:8-36.
- [25]风力发电设计规范:GB 51096—2015[S].北京:中国计划出版社, 2015:4-22.Code for design of wind farm:GB 51096—2015[S].Beijing:China Planning Press, 2015:4-22.