碳达峰约束下的省级电源规划方法

蒋海玮, 张明理, 侯依昕, 杨天蒙, 商文颖, 程孟增

太阳能学报 ›› 2023, Vol. 44 ›› Issue (9) : 49-56.

PDF(1984 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(1984 KB)
太阳能学报 ›› 2023, Vol. 44 ›› Issue (9) : 49-56. DOI: 10.19912/j.0254-0096.tynxb.2022-0770

碳达峰约束下的省级电源规划方法

  • 蒋海玮1, 张明理1, 侯依昕1, 杨天蒙2, 商文颖1, 程孟增1
作者信息 +

METHOD OF PROVINCIAL GENERATION PLANNING UNDER CONSTRAINT OF CARBON PEAKING

  • Jiang Haiwei1, Zhang Mingli1, Hou Yixin1, Yang Tianmeng2, Shang Wenying1, Cheng Mengzeng1
Author information +
文章历史 +

摘要

电力行业作为最大的碳排放来源,在实现碳达峰目标中扮演举足轻重的角色,而电源规划是调控碳排放的关键路径。为此,该文考虑不同容量机组度电煤耗与利用小时数差异,提出一种煤电机组群CO2年排放总量计算方法,并在此基础上建立碳达峰约束下的省级电源规划多目标优化模型。该模型以系统总投资费用最少和规划期内CO2排放总量最低为双重目标,并将预期的碳达峰实现年份区间引入约束条件。随后,提出一种基于蒙特卡洛模拟和NSGA-Ⅱ算法的多目标优化模型求解方法,以生成电源规划方案的Pareto最优解。利用所提方法对中国某省级电力系统进行电源规划,结果验证了所提方法的合理性和有效性。

Abstract

As the largest source of carbon emissions, the power industry plays an important role in achieving the goal of carbon peaking, and power planning is the key path to regulate carbon emissions. To this end, considering the difference of utilization hours and coal consumption rate of coal-fired power units with different capacities, this paper proposes a calculation method for the total annual CO2 emission of coal-fired power units, and establishes a multi-objective optimization model of generation expansion planning for provincial power grid under the constraint of carbon peaking. The model takes the minimum total investment cost of the system and the minimum CO2 emission in the planning period as the dual objectives, and introduces constraint on the year when the carbon peak is achieved. Then, a multi-objective optimization model solution method based on Monte Carlo simulation and NSGA-Ⅱ is proposed to generate the Pareto optimal solution of the multi-objective configuration scheme of power planning. The proposed method is used for power planning of a provincial power system in China, the results verify the rationality and effectiveness of the proposed method.

关键词

碳达峰 / 电源规划 / 煤电机组群 / CO2排放量 / 蒙特卡洛模拟 / NSGA-Ⅱ算法

Key words

carbon peaking / power planning / coal-fired power units / CO2 emissions / Monte Carlo simulation / NSGA-Ⅱ algorithm

引用本文

导出引用
蒋海玮, 张明理, 侯依昕, 杨天蒙, 商文颖, 程孟增. 碳达峰约束下的省级电源规划方法[J]. 太阳能学报. 2023, 44(9): 49-56 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0770
Jiang Haiwei, Zhang Mingli, Hou Yixin, Yang Tianmeng, Shang Wenying, Cheng Mengzeng. METHOD OF PROVINCIAL GENERATION PLANNING UNDER CONSTRAINT OF CARBON PEAKING[J]. Acta Energiae Solaris Sinica. 2023, 44(9): 49-56 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0770
中图分类号: TM715   

参考文献

[1] IPCC Working Group.Global warming of 1.5 ℃[R]. Incheon: IPCC, 2018.
[2] 黄雨涵, 丁涛, 李雨婷, 等. 碳中和背景下能源低碳化技术综述及对新型电力系统发展的启示[J]. 中国电机工程学报, 2021, 41(增刊1): 28-51.
HUANG Y H, DING T, LI Y T, et al.Decarbonization technologies and inspirations for the development of novel power systems in the context of carbon neutrality[J]. Proceedings of the CSEE, 2021, 41(S1): 28-51.
[3] 习近平. 在第七十五届联合国大会一般性辩论上的讲话[J]. 中华人民共和国国务院公报, 2020(28): 5-7.
XI J P.Speech at the general debate of the 75th session of the United Nations General Assembly[J]. Gazette of the State Council of the People’s Republic of China,2020(28): 5-7.
[4] 习近平. 继往开来,开启全球应对气候变化新征程: 在气候雄心峰会上的讲话[J]. 中华人民共和国国务院公报, 2020(35): 7.
XI J P.Building on past achievements and launching a new journey for global climate actions: statement at the climate ambition ummit[J]. Gazette of the State Council of the People’s Republic of China, 2020(35): 7.
[5] 习近平. 习近平主持召开中央财经委员会第九次会议[EB/OL](2021-03-15). https://news.cctv.com/2021/03/15/ARTIFUhtqyI0GxogiEDWyY28210315.shtml.
XI J P. Xi Jinping presided over the ninth meeting of the Central Financial Leading Group[EB/OL](2021-03-15). https://news.cctv.com/2021/03/15/ARTIFUhtqyI0GxogiED WyY28210315.shtml.
[6] 康重庆, 杜尔顺, 李姚旺, 等. 新型电力系统的“碳视角”: 科学问题与研究框架[J]. 电网技术, 2022, 46(3): 821-833.
KANG C Q,DU E S,LI Y W, et al.Key scientific problems and research framework for carbon perspective research of new power systems[J]. Power system technology, 2022, 46(3): 821-833.
[7] 李晖, 刘栋, 姚丹阳. 面向碳达峰碳中和目标的我国电力系统发展研判[J]. 中国电机工程学报, 2021, 41(18): 6245-6259.
LI H, LIU D, YAO D Y.Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality[J]. Proceedings of the CSEE, 2021, 41(18): 6245-6259.
[8] 魏震波, 马新如, 郭毅, 等. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43(1): 1-9.
WEI Z B, MA X R, GUO Y, et al.Optimized operation of integrated energy system considering demand response under carbon trading mechanism[J]. Electric power construction, 2022, 43(1): 1-9.
[9] PARK J B, PARK Y M, WON J R, et al.An improved genetic algorithm for generation expansion planning[J]. IEEE transactions on power systems, 2000, 15(3): 916-922.
[10] 卢斯煜, 娄素华, 吴耀武. 低碳经济下基于排放轨迹约束的电力系统电源扩展规划模型[J]. 电工技术学报, 2011, 26(11): 175-181.
LU S Y, LOU S H, WU Y W.A model for generation expansion planning of power system based on carbon emission trajectory model under low-carbon economy[J]. Transactions of China Electrotechnical Society, 2011, 26(11): 175-181.
[11] 张晓辉, 梁军雪, 赵翠妹, 等. 基于碳交易的含燃气机组的低碳电源规划[J]. 太阳能学报, 2020, 41(7): 92-98.
ZHANG X H, LIANG J X, ZHAO C M, et al.Research on low-carbon power planning with gas turbine units based on carbon transactions[J]. Acta energiae solaris sinica, 2020, 41(7): 92-98.
[12] 马昭, 赵会茹, 霍慧娟. 基于实现碳达峰目标的电力系统优化配置研究: 以山西省为例[J]. 现代管理科学, 2022(1): 79-90.
MA Z, ZHAO H R, HUO H J.Research on optimal allocation of power system based on achieving peak carbon dioxide emissions goal:taking Shanxi Province as an example[J]. Modern management science, 2022(1): 79-90.
[13] 李政, 陈思源, 董文娟, 等. 碳约束条件下电力行业低碳转型路径研究[J]. 中国电机工程学报, 2021, 41(12): 3987-4001.
LI Z, CHEN S Y, DONG W J, et al.Low carbon transition pathway of power sector under carbon emission constraints[J]. Proceedings of the CSEE, 2021, 41(12): 3987-4001.
[14] 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 Y B, ZHANG L Y, ZHANG Y Z, et al.Carbon peak and carbon neutrality path for China’s power industry[J]. Strategic study of CAE, 2021, 23(6): 1-14.
[15] 马学礼, 王笑飞, 孙希进, 等. 燃煤发电机组碳排放强度影响因素研究[J]. 热力发电, 2022, 51(1): 190-195.
MA X L, WANG X F, SUN X J, et al.Influence factors of carbon emission intensity of coal-fired power units[J]. Thermal power generation, 2022, 51(1): 190-195.
[16] 麻林巍, 袁园, 李政. 2050年我国低碳能源系统的形态、特征描绘和敏感性分析[J]. 清华大学学报(自然科学版), 2022, 62(4): 802-809.
MA L W, YUAN Y, LI Z.Mapping the characteristics and sensitivities of China’s low-carbon energy supply in 2050[J]. Journal of Tsinghua University(science and technology), 2022, 62(4): 802-809.
[17] 谢英柏, 周博滔. 基于NSGA-Ⅱ算法的VM循环热泵多目标优化分析[J]. 太阳能学报, 2017, 38(7): 1807-1813.
XIE Y B, ZHOU B T.Multi-objective optimization of vuilleumier cycle heat pump based on NSGA-Ⅱ algorithm[J]. Acta energiae solaris sinica, 2017, 38(7): 1807-1813.
[18] 丁胜,周博滔,胡宝华. 基于NSGA-Ⅱ算法的小型分布式能源系统设计优化[J]. 太阳能学报,2021, 42(1): 438-445.
DING S,ZHOU B T,HU B H.Design optimization of small distributed energy system based on NSGA-Ⅱ algorithm[J]. Acta energiae solaris sinica, 2021, 42(1): 438-445.
[19] 张健磊, 高湛军, 孙旭日, 等. 基于NSGA-Ⅱ算法的有源配电网故障定位方法研究[J]. 电测与仪表, 2020, 57(9): 33-39.
ZHANG J L, GAO Z J, SUN X R, et al.Research on fault location method for active distribution network based on NSGA-Ⅱ algorithm[J]. Electrical measurement & instrumentation, 2020, 57(9): 33-39.
[20] 谢冰, 杨小卫, 于壮状, 等. 考虑“三公”调度的两阶段年滚动发电计划优化模型[J]. 电力自动化设备, 2018, 38(12): 155-161.
XIE B, YANG X W, YU Z Z, et al.Two-stage optimization model for annual rolling generation scheduling considering open and impartial dispatching[J]. Electric power automation equipment, 2018, 38(12): 155-161.

基金

2021年度辽宁省科学事业公益研究基金(软科学研究计划)(2021JH4/10400005)

PDF(1984 KB)

Accesses

Citation

Detail

段落导航
相关文章

/