考虑碳交易机制的源-荷-储协整优化模型

王利猛; 刘永宁; 许成哲

doi:10.19912/j.0254-0096.tynxb.2021-1613

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (5) : 106-112. DOI: 10.19912/j.0254-0096.tynxb.2021-1613

考虑碳交易机制的源-荷-储协整优化模型

王利猛¹, 刘永宁¹, 许成哲²

作者信息 +

SOURCE-LOAD-STORAGE COINTEGRATION OPTIMIZATION MODEL CONSIDERING CARBON TRADING MECHANISM

Wang Limeng¹, Liu Yongning¹, Xu Chengzhe²

Author information +

文章历史 +

摘要

为了增加新能源的利用率,减小碳排放,提出一种考虑碳交易机制的源-荷-储协整优化方法。首先建立阶梯式碳交易成本模型,分析碳交易机制提高新能源消纳的原理;然后在优化阶段建立考虑源-荷-储时序相关特性的协整约束,搭建含碳交易机制以系统运行成本最小为目标的源-荷-储优化协整模型。最后通过仿真算例分析表明：考虑碳交易机制的源-荷-储协整优化能得到常规机组出力平稳、新能源利用率最高、系统运行成本最低的运行方式,验证了所提优化方法的有效性。

Abstract

In order to increase the utilization rate of new energy and reduce carbon emissions, this paper proposes a source-load-storage cointegration optimization method considering the carbon trading mechanism. The method first establishes the stepped carbon trading cost model, analyzes the principle of carbon trading mechanism to improve new energy consumption. In the optimization stage, the source-load-storage timing correlation constraint is established to establish a source-load-storage optimization cointegration model with the minimum operating cost of the system. Finally, the simulation case analysis shows that the source-load-storage cointegration optimization of carbon trading mechanism can obtain the stable output of conventional units, the highest new energy utilization rate and the lowest system operation cost, and verifies the effectiveness of the proposed optimization method.

导出引用

王利猛, 刘永宁, 许成哲. 考虑碳交易机制的源-荷-储协整优化模型[J]. 太阳能学报. 2023, 44(5): 106-112 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1613

Wang Limeng, Liu Yongning, Xu Chengzhe. SOURCE-LOAD-STORAGE COINTEGRATION OPTIMIZATION MODEL CONSIDERING CARBON TRADING MECHANISM[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 106-112 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1613

中图分类号： TM614 TM919

参考文献

[1] 骆钊, 卢涛, 马瑞, 等. 可再生能源配额制下多园区综合能源系统优化调度[J]. 电力自动化设备, 2021, 41(2): 8-14.
LUO Z, LU T,MA R, et al.Optimal scheduling of multi-park integrated energy system under renewable portfolio standard[J]. Electric power automation equipment, 2021, 41(2): 8-14.
[2] 周孝信, 陈树勇, 鲁宗相, 等. 能源转型中我国新一代电力系统的技术特征[J]. 中国电机工程学报, 2018, 38(7): 1893-1904.
ZHOU X X, CHEN S Y, LU Z X, et al.Technology features of the new generation power system in China[J]. Proceedings of the CSEE, 2018, 38(7): 1893-1904.
[3] 陈锦鹏, 胡志坚, 陈嘉滨, 等. 考虑阶梯式碳交易与供需灵活双响应的综合能源系统优化调度[J]. 高电压技术, 2021, 47(9): 3094-3106.
CHEN J P, HU Z J, CHEN J B, et al.Optimal dispatch of integrated energy system considering ladder-type carbon trading and flexible double response of supply and demand[J]. High voltage engineering, 2021, 47(9): 3094-3106.
[4] 崔杨, 周慧娟, 崔成伟, 等. 考虑降低碳排放的多源微网经济调度方法[J]. 东北电力大学学报, 2021, 41(3):85-92.
CUI Y, ZHOU H J, CUI C W, et al.Economic scheduling of multi-source microgrid considering carbon emissions reduction[J]. Journal of Northeast Electric Power University, 2021, 41(3): 85-92.
[5] 崔雪, 邹晨露, 王恒, 等. 考虑风电消纳的电热联合系统源荷协调优化调度[J]. 电力自动化设备, 2018, 38(7): 74-81.
CUI X, ZOU C L, WANG H, et al.Source and load coordinative optimal dispatching of combined heat and power system[J]. Electric power automation equipment, 2018, 38(7): 74-81.
[6] 彭春华, 张金克, 陈露, 等. 计及差异化需求响应的微电网源荷储协调优化调度[J]. 电力自动化设备, 2020,40(3): 1-7.
PENG C H, ZHANG J K, CHEN L, et al.Source-load-storage coordinated optimal scheduling of microgrid considering differential demand response[J]. Electric power automation equipment, 2020, 40(3): 1-7.
[7] 李华, 王思民, 高杰. 一种基于跟踪计划的风光储联合发电系统储能控制策略研究[J]. 电器与能效管理技术,2019(4): 71-78.
LI H, WANG S M, GAO J.Research on energy storage control strategy of wind solar storage combined generation system based on tracking plan[J]. Electrical and energy management technology, 2019(4): 71-78.
[8] CHO J S, KIM T H, SHIN Y.Quantile cointegration in the autoregressive distributed-lag modeling framework[J].Journal of econometrics, 2015, 188(1): 281-300.
[9] BAEK J.A panel cointegration analysis of CO₂ emissions, nuclear energy and income in major nuclear generating countries[J]. Applied energy, 2015, 145: 133-138.
[10] 方绍凤, 周任军, 张武军, 等. 源-荷协整关系与电价时间序列协整模型[J]. 电力自动化设备, 2020, 40(2):169-176.
FANG S F, ZHOU R J, ZHANG W J, et al.Co-integration model between source-load co-integration relationship and electricity price time series[J]. Electric power automation equipment, 2020, 40(2): 169-176.
[11] 张志遥, 周任军, 黄靖杰, 等. 垃圾焚烧电厂参与调峰的源荷线性协整优化模型[J]. 电力自动化设备, 2021,41(3): 115-121.
ZHANG Z Y, ZHOU R J, HUANG J J, et al.Source-load linear cointegration optimization model of waste incineration power plant participating in peak load regulation[J]. Electric power automation equipment, 2021, 41(3): 115-121.
[12] 韩肖清, 李廷钧, 张东霞, 等. 双碳目标下的新型电力系统规划新问题及关键技术[J]. 高电压技术, 2021, 47(9): 3036-3046.
HAN X Q, LI T J, ZHANG D X, et al.New issues and key technologies of new power system planning under double carbon goals[J]. High voltage engineering, 2021, 47(9): 3036-3046.
[13] 卫志农, 张思德, 孙国强, 等. 基于碳交易机制的电-气互联综合能源系统低碳经济运行[J]. 电力系统自动化,2016, 40(15): 9-16.
WEI Z N, ZHANG S D, SUN G Q, et al.Carbon trading based low-carbon economic operation for integrated electricity and natural gas energy system[J]. Automation of electric power systems, 2016, 40(15): 9-16.
[14] 王振浩, 许京剑, 田春光, 等. 计及碳交易成本的含风电电力系统热电联合调度[J]. 太阳能学报, 2020, 41(12): 245-253.
WANG Z H, XU J J, TIAN C G, et al.Combined heat and power scheduling strategy considering carbon trading cost in wind power system[J]. Acta energiae solaris sinica, 2020, 41(12): 245-253.
[15] ENGLE R F, GRANGER C W J. Co-integration and error correction: representation, estimation and testing[J]. Econometrica, 1987, 55(2): 251-276.
[16] 赵会茹, 杨璐, 李春杰, 等. 基于协整理论和误差修正模型的电网投资需求预测研究[J]. 电网技术, 2011, 35(9): 193-198.
ZHAO H R, YANG L, LI C J, et al.Research on prediction to investment demand of power grid based on co-integration theory and error correction model[J]. Power system technology, 2011, 35(9): 193-198.
[17] 张兴平, 牛玉琴, 赵旭. 中国电力消费协整关系模型[J]. 中国电机工程学报, 2008, 28(13): 114-119.
ZHANG X P, NIU Y Q, ZHAO X.Cointegration analysis of electricity consumption in China[J]. Proceedings of the CSEE, 2008, 28(13): 114-119.
[18] 刘天琪, 卢俊, 何川, 等. 考虑联合热电需求响应与高比例新能源消纳的多能源园区日前经济调度[J]. 电力自动化设备, 2019, 39(8): 261-268.
LIU T Q, LU J, HE C, et al.Day-ahead economic dispatch of multi-energy parks considering integrated thermo-electric demand response and high penetration of renewable energy[J]. Electric power automation equipment, 2019, 39(8): 261-268.