计及碳排放约束及源荷不确定性的电力系统协调优化配置研究

林嘉琳, 王俐英, 李华, 董厚琦, 曾鸣

太阳能学报 ›› 2023, Vol. 44 ›› Issue (10) : 46-57.

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (10) : 46-57. DOI: 10.19912/j.0254-0096.tynxb.2022-0943

计及碳排放约束及源荷不确定性的电力系统协调优化配置研究

  • 林嘉琳, 王俐英, 李华, 董厚琦, 曾鸣
作者信息 +

RESEARCH ON OPTIMAL ALLOCATION OF POWER SYSTEM CONSIDERING CARBON EMISSION CONSTRAINTS AND SOURCE-LOAD UNCERTAINTY

  • Lin Jialin, Wang Liying, Li Hua, Dong Houqi, Zeng Ming
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文章历史 +

摘要

提出一种计及碳排放约束及源荷不确定性的电力系统双层协调优化配置模型。该模型上层以系统规划成本最小化为优化目标,对各类电源机组及储能设备配置容量进行优化。下层运行优化模型以系统碳排放量最小化为优化目标,采用模糊随机机会约束法对源、荷双侧不确定性因素进行处理,优化电源、储能、需求侧资源的出力。结果表明,综合考虑源荷储灵活性资源的电力系统协调规划可有效降低系统碳排放量,可兼顾电力系统规划的经济性与环保性。

Abstract

This paper proposed a two-level coordinated optimal allocation model of regional power system considering carbon emission constraints and uncertainty. The upper layer of the model optimized the configuration capacity of various power units and energy storage equipment with the objective of minimizing the system planning cost. The lower level operation optimization model took the minimization of carbon emissions of the system as the objective. The model used the fuzzy random chance constraint method to deal with the uncertainty factors on both sides of the source and load, so as to optimize the output of power, energy storage and demand side resources. The results show that the coordinated planning of power system with comprehensive consideration of flexible resources can effectively reduce the carbon emission, and can take into account the economy and environmental protection of power system planning.

关键词

电力系统规划 / 排放控制 / 需求响应 / 模糊机会约束

Key words

power system planning / emission control / demand response / fuzzy chance constraint

引用本文

导出引用
林嘉琳, 王俐英, 李华, 董厚琦, 曾鸣. 计及碳排放约束及源荷不确定性的电力系统协调优化配置研究[J]. 太阳能学报. 2023, 44(10): 46-57 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0943
Lin Jialin, Wang Liying, Li Hua, Dong Houqi, Zeng Ming. RESEARCH ON OPTIMAL ALLOCATION OF POWER SYSTEM CONSIDERING CARBON EMISSION CONSTRAINTS AND SOURCE-LOAD UNCERTAINTY[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 46-57 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0943
中图分类号: TM715   

参考文献

[1] 谭显东, 刘俊, 徐志成, 等. “双碳”目标下“十四五”电力供需形势[J]. 中国电力, 2021, 54(5): 1-6.
TAN X D, LIU J, XU Z C, et al.Power supply and demand balance during the 14th five-year plan period under the goal of carbon emission peak and carbon neutrality[J]. Electric power, 2021, 54(5): 1-6.
[2] LARSEN M, SAUMA E.Economic and emission impacts of energy storage systems on power-system long-term expansion planning when considering multi-stage decision processes[J]. Journal of energy storage, 2021, 33: 101883.
[3] 金晨, 任大伟, 肖晋宇, 等. 支撑碳中和目标的电力系统源-网-储灵活性资源优化规划[J]. 中国电力, 2021, 54(8): 164-174.
JIN C, REN D W, XIAO J Y, et al.Optimization planning on power system supply-grid-storage flexibility resource for supporting the “carbon neutrality” target of China[J]. Electric power, 2021, 54(8): 164-174.
[4] 张宁, 代红才, 胡兆光, 等. 考虑系统灵活性约束与需求响应的源网荷协调规划模型[J]. 中国电力, 2019, 52(2): 61-69.
ZHANG N, DAI H C, HU Z G, et al.A source-grid-load coordinated planning model considering system flexibility constraints and demand response[J]. Electric power, 2019, 52(2): 61-69.
[5] 葛毅, 陈佳铭, 朱永康, 等. 考虑广义需求侧资源的江苏“十四五”电源规划[J]. 电力需求侧管理, 2021, 23(2): 4-9.
GE Y, CHEN J M, ZHU Y K, et al.Power generation planning considering generalized demand-side resources of Jiangsu Province in the 14th Five-Year Plan period[J]. Power demand side management, 2021, 23(2): 4-9.
[6] 徐唐海, 鲁宗相, 乔颖, 等. 源荷储多类型灵活性资源协调的高比例可再生能源电源规划[J]. 全球能源互联网, 2019, 2(1): 27-34.
XU T H, LU Z X, QIAO Y, et al.High penetration of renewable energy power planning considering coordination of source-load-storage multi-type flexible resources[J]. Journal of global energy interconnection, 2019, 2(1): 27-34.
[7] 杨修宇, 穆钢, 柴国峰, 等. 考虑灵活性供需平衡的源-储-网一体化规划方法[J]. 电网技术, 2020, 44(9): 3238-3246.
YANG X Y, MU G, CHAI G F, et al.Source-storage-grid integrated planning considering flexible supply-demand balance[J]. Power system technology, 2020, 44(9): 3238-3246.
[8] 杨珺, 李凤婷, 张高航. 考虑灵活性需求的新能源高渗透系统规划方法[J]. 电网技术, 2022, 46(6): 2171-2182.
YANG J, LI F T, ZHANG G H.Power system planning method with high new energy penetration considering flexibility requirements[J]. Power system technology, 2022, 46(6): 2171-2182.
[9] 柴国峰, 杨修宇, 徐唐海, 等. 基于双层场景约简的电力系统灵活性规划方法[J]. 东北电力大学学报, 2020, 40(6): 11-20.
CHAI G F, YANG X Y, XU T H, et al.Flexibility planning method for electric power system based on Bi-level scene reduction[J]. Journal of Northeast Electric Power University, 2020, 40(6): 11-20.
[10] 傅钰. 考虑风光不确定性的多能源电源多点布局规划研究[D]. 北京: 华北电力大学, 2021.
FU Y.Research on multi-point layout planning of multi-energy power supply considering wind and solar uncertainty[D]. Beijing: North China Electric Power University, 2021.
[11] 陈保瑞, 刘天琪, 何川, 等. 考虑需求响应的源网荷协调分布鲁棒长期扩展规划[J]. 中国电机工程学报, 2021, 41(20): 6886-6900.
CHEN B R, LIU T Q, HE C, et al.Distributionally robust coordinated expansion planning for generation and transmission systems with demand response[J]. Proceedings of the CSEE, 2021, 41(20): 6886-6900.
[12] 杨雍琦. 电力系统“源—网—荷—储”协调优化规划理论及应用研究[D]. 北京: 华北电力大学, 2017.
YANG Y Q.Theoretical research and application on optimized planning of“generation-grid-load-energy storage” for electrical power system[D]. Beijing: North China Electric Power University, 2017.
[13] 张宁, 胡兆光, 周渝慧, 等. 计及随机模糊双重不确定性的源网荷协同规划模型[J]. 电力系统自动化, 2016, 40(1): 39-44, 142.
ZHANG N, HU Z G, ZHOU Y H, et al.Source-grid-load coordinated planning model considering randomness and fuzziness[J]. Automation of electric power systems, 2016, 40(1): 39-44, 142.
[14] 梁军雪. 碳交易机制下考虑风/荷不确定性的低碳电源规划[D]. 秦皇岛: 燕山大学, 2018.
LIANG J X.Low carbon power planning considering wind power and load uncertainty under carbon trading mechanism[D]. Qinhuangdao: Yanshan University, 2018.
[15] 钟嘉庆, 王一鸣, 赵志锋, 等. 低碳电源规划不确定性多目标鲁棒优化研究[J]. 太阳能学报, 2020, 41(9): 114-120.
ZHONG J Q, WANG Y M, ZHAO Z F, et al.Research on multi-objective robust optimization about low caebon generation expansion planning considering uncertainty[J]. Acta energiae solaris sinica, 2020, 41(9): 114-120.
[16] 钟嘉庆, 靳国臣, 张晓辉, 等. 计及碳交易成本及能效电厂的电源规划模型[J]. 电工电能新技术, 2017, 36(12): 22-29.
ZHONG J Q, JIN G C, ZHANG X H, et al.Generation expansion planning model incorporating carbon trading cost and efficiency power plant[J]. Advanced technology of electrical engineering and energy, 2017, 36(12): 22-29.
[17] 孟婧, 梁才浩, 宋福龙, 等. 考虑碳排放约束的跨国电源优化规划方法[J]. 全球能源互联网, 2022, 5(2): 173-181.
MENG J, LIANG C H, SONG F L, et al.Multi-state generation optimization planning method considering low-carbon constraints[J]. Journal of global energy interconnection, 2022, 5(2): 173-181.
[18] DOHERTY R, O’MALLEY M. A new approach to quantify reserve demand in systems with significant installed wind capacity[J]. IEEE transactions on power systems, 2005, 20(2): 587-595.
[19] DOLATABADI A, JADIDBONAB M, MOHAMMADI-IVATLOO B.Short-term scheduling strategy for wind-based energy hub: a hybrid stochastic/IGDT approach[J]. IEEE transactions on sustainable energy, 2019, 10(1): 438-448.
[20] 罗纯坚, 李姚旺, 许汉平, 等. 需求响应不确定性对日前优化调度的影响分析[J]. 电力系统自动化, 2017, 41(5): 22-29.
LUO C J, LI Y W, XU H P, et al.Influence of demand response uncertainty on day-ahead optimization dispatching[J]. Automation of electric power systems, 2017, 41(5): 22-29.
[21] 赵冬梅, 殷加玞. 考虑源荷双侧不确定性的模糊随机机会约束优先目标规划调度模型[J]. 电工技术学报, 2018, 33(5): 1076-1085.
ZHAO D M, YIN J F.Fuzzy random chance constrained preemptive goal programming scheduling model considering source-side and load-side uncertainty[J]. Transactions of China Electrotechnical Society, 2018, 33(5): 1076-1085.
[22] 牛文娟, 李扬, 王磊. 基于风险评估和机会约束的不确定性可中断负荷优化调度[J]. 电力自动化设备, 2016, 36(4): 62-67, 84.
NIU W J, LI Y, WANG L.Optimal dispatch of uncertain interruptible loads based on risk assessment and chance constraint[J]. Electric power automation equipment, 2016, 36(4): 62-67, 84.
[23] 孙宇军, 王岩, 王蓓蓓, 等. 考虑需求响应不确定性的多时间尺度源荷互动决策方法[J]. 电力系统自动化, 2018, 42(2): 106-113, 159.
SUN Y J, WANG Y, WANG B B, et al.Multi-time scale decision method for source-load interaction considering demand response uncertainty[J]. Automation of electric power systems, 2018, 42(2): 106-113, 159.
[24] 刘斌, 张玉琼, 麻林巍, 等. 西北地区源端基地综合能源系统的技术方案设计及优化研究[J]. 中国电机工程学报, 2021, 41(2): 568-581.
LIU B, ZHANG Y Q, MA L W, et al.Design and optimization of technical schemes of supply-side base integrated energy systems in northwest China[J]. Proceedings of the CSEE, 2021, 41(2): 568-581.
[25] 任大伟, 金晨, 侯金鸣, 等. 基于时序运行模拟的新能源配置储能替代火电规划模型[J]. 中国电力, 2021, 54(7): 18-26.
REN D W, JIN C, HOU J M, et al.Planning model for renewable energy with energy storage replacing thermal power based on time series operation simulation[J]. Electric power, 2021, 54(7): 18-26.

基金

国家重点研发计划(2021YFB2400700); 国家社会科学基金重大项目(19ZDA081)

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