基于碳流追踪的电力系统源网荷低碳经济调度

doi:10.12204/j.issn.1000-7229.2023.05.011

电力建设 ›› 2023, Vol. 44 ›› Issue (5): 108-119.doi: 10.12204/j.issn.1000-7229.2023.05.011

基于碳流追踪的电力系统源网荷低碳经济调度

杨毅¹(), 易文飞¹(), 王晨清¹(), 王明深¹(), 吴志军²(), 穆云飞²(), 郑明忠¹()

1.国网江苏省电力有限公司电力科学研究院,南京市 211103
2.智能电网教育部重点实验室(天津大学),天津市 300072

收稿日期:2022-11-08 出版日期:2023-05-01 发布日期:2023-04-27
通讯作者: 吴志军(1997),男,硕士研究生,主要研究方向为综合能源系统优化调度,E-mail:2021234422@tju.edu.cn。
作者简介:杨毅(1983),男,博士,教授级高级工程师,主要研究方向为综合能源系统协调控制、继电保护、交直流柔性输配电技术,E-mail:yang_yi_ee@163.com;
易文飞(1987),男,博士,高级工程师,主要研究方向为配电网及综合能源系统运行控制,E-mail:yiwenfei2006@163.com;
王晨清(1987),男,博士,高级工程师,主要研究方向为直流电网运行控制、综合能源系统协调控制,E-mail:wcqmorning@163.com;
王明深(1990),男,博士,工程师,主要研究方向为电动汽车与电网互动,E-mail:wmshtju@163.com;
穆云飞(1984),男,博士,教授,主要研究方向为综合能源系统的建模、优化、分析及控制,E-mail:yunfeimu@tju.edu.cn;
郑明忠(1989),男,硕士,工程师,主要研究方向为厂站自动化,E-mail:mingzhongz@tju.edu.cn。
基金资助:
国网江苏省电力有限公司科技项目(J2021194)

Low-Carbon and Economic Optimal Scheduling of Power System Source-Grid-Load Based on Carbon Flow Tracing Method

YANG Yi¹(), YI Wenfei¹(), WANG Chenqing¹(), WANG Mingshen¹(), WU Zhijun²(), MU Yunfei²(), ZHENG Mingzhong¹()

1. State Grid Jiangsu Electric Power Research Institute, Nanjing 211103, China
2. Key Laboratory of Smart Grid, Ministry of Education (Tianjin University), Tianjin 300072, China

Received:2022-11-08 Online:2023-05-01 Published:2023-04-27
Supported by:
Science and Technology Project of the State Grid Jiangsu Electric Power Co., Ltd(J2021194)

摘要/Abstract

摘要：

在传统的电力系统低碳调度中,将发电厂视为唯一碳排放责任承担者对发电侧极不公平。追踪碳排放的来源,公平地将碳排放分摊到发电侧和用户侧并引导用户环保用电意义重大。针对已有碳流追踪方法因复功率运算导致追踪结果出现负碳排的问题,提出了一种基于碳排放流的碳流追踪方法,在碳流计算的基础上对系统碳流进行直接追踪;基于追踪结果,构建了由发电厂和用户共同承担的碳排放责任分摊模型;进而提出了基于碳流追踪的电力系统源网荷低碳经济调度方法,该方法在一阶段以发电成本和发电侧碳排放成本最小为目标对机组组合进行优化;二阶段以需求响应成本和用户碳排放成本最小化优化负荷分布。算例分析表明:相比于已有追踪方法,所提碳流追踪方法能够避免负碳排的出现;所提低碳经济调度方法可以兼顾系统的经济性和环保性,同时引导用户主动响应并降低系统的碳排放量。

关键词: 碳流追踪, 碳责任分摊, 低碳经济调度, 电力系统, 源网荷

Abstract:

In the traditional low-carbon dispatch of power systems, it is extremely unfair to the power generation side to treat power plants as the sole bearers responsible for carbon emissions. It is of great significance to track the sources of carbon emissions, distribute carbon emissions fairly to the power generation and user sides, and guide users in using electricity sustainably. To address the problem of negative carbon emissions in existing carbon flow tracking methods due to complex power calculations, this study proposes a carbon flow tracking method based on carbon emission flow, which directly tracks the carbon flow of the system based on carbon flow calculations. Based on the tracking results, a carbon emission responsibility-sharing model jointly borne by the power plants and users was developed. Furthermore, a low-carbon economic dispatching method for the power system source-grid-load based on carbon flow tracking is proposed, which optimizes the unit combination in the first stage with the goal of minimizing the power generation cost and carbon emission cost on the power generation side. The second stage optimizes the load distribution with the minimum demand response and user carbon emission costs. The analysis shows that, compared with existing tracking methods, the carbon flow tracking method proposed in this study can avoid the occurrence of negative carbon emissions. The proposed low-carbon economic dispatch method can consider the economy and environmental protection of the system and guide users to actively respond and reduce the carbon emissions of the system.

Key words: carbon flow tracing, carbon obligation allocation, low-carbon and economic dispatch, power system, source-grid-load

中图分类号:

TM73
TM73

杨毅, 易文飞, 王晨清, 王明深, 吴志军, 穆云飞, 郑明忠. 基于碳流追踪的电力系统源网荷低碳经济调度[J]. 电力建设, 2023, 44(5): 108-119.

YANG Yi, YI Wenfei, WANG Chenqing, WANG Mingshen, WU Zhijun, MU Yunfei, ZHENG Mingzhong. Low-Carbon and Economic Optimal Scheduling of Power System Source-Grid-Load Based on Carbon Flow Tracing Method[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(5): 108-119.

图/表 15

图1 有损网络的无损化过程

Fig.1 Conversion process from lossy network to lossless network

图2 流入和流出节点i的碳流

Fig.2 Carbon flow flowing into and out of node i

图3 基于碳流追踪的电力系统源网荷低碳经济调度模型框架

Fig.3 Framework of low-carbon economic dispatching model of power system source-grid-load based on the carbon flow tracing method

图4 IEEE 39节点系统

Fig.4 IEEE 39-bus system structure

表1 发电机机组碳势

Table 1 Carbon intensity of generators

图5 08:00时刻下的节点负荷

Fig.5 Load of nodes at 8 am

图6 08:00时刻下发电机功率

Fig.6 Power of generators at 8 am

表2 本文与文献[5]方法负荷碳排放追踪结果

Table 2 Results of the load carbon emissions tracing using the method proposed in this paper and Ref [5] t

图7 负荷有功功率和无功功率

Fig.7 Active power and reactive power of load

表3 2种场景下的优化结果

Table 3 Optimization results under two cases

图8 场景Ⅰ和场景Ⅱ发电机有功功率

Fig.8 Power of generators under scenario Ⅰand Ⅱ

图9 低碳需求响应后的负荷分布

Fig.9 Load distribution considering low-carbon demand response

图10 低碳需求响应前后的节点20负荷曲线

Fig.10 Comparison of load curves of the 20th node

表A1 08:00时刻下负荷碳排放追踪结果

Table A1 Results of the load carbon emissions tracing at 08:00 t

表A2 08:00时刻下网损碳排放追踪结果

Table A2 Tracing results of the carbon emissions caused by network loss at 08:00t

参考文献 25

[1]	张凯, 张为荣. 电力部门碳排放达峰路径与政策[R]. 北京: 北京大学能源研究院. 2021.
	ZHANG Kai, ZHANG Weirong. Pathways and policy for peaking CO₂ emissions in China’s power sector[R]. Beijing: Institute of Peking University Energy Research, 2021.
[2]	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 Chongqing, DU Ershun, LI Yaowang, 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.
[3]	陈厚合, 茅文玲, 张儒峰, 等. 基于碳排放流理论的电力系统源-荷协调低碳优化调度[J]. 电力系统保护与控制, 2021, 49(10): 1-11.
	CHEN Houhe, MAO Wenling, ZHANG Rufeng, et al. Low-carbon optimal scheduling of a power system source-load considering coordination based on carbon emission flow theory[J]. Power System Protection and Control, 2021, 49(10): 1-11.
[4]	李保卫, 胡泽春, 宋永华, 等. 电力碳排放区域分摊的原则与模型[J]. 电网技术, 2012, 36(7): 12-18.
	LI Baowei, HU Zechun, SONG Yonghua, et al. Principle and model for regional allocation of carbon emission from electricity sector[J]. Power System Technology, 2012, 36(7): 12-18.
[5]	龚昱, 蒋传文, 李明炜, 等. 基于复功率潮流追踪的电力用户侧碳排放计量[J]. 电力系统自动化, 2014, 38(17): 113-117.
	GONG Yu, JANG Chuanwen, LI Mingwei, et al. Carbon emission calculation on power consumer side based on complex power flow tracing[J]. Automation of Electric Power Systems, 2014, 38(17): 113-117.
[6]	胡昱楠. 网损分摊法在输电网中的应用研究[D]. 北京: 华北电力大学, 2022.
	HU Yunan. Research on loss allocation application of transmission network[D]. Beijing: North China Electric Power University, 2022.
[7]	周天睿, 康重庆, 徐乾耀, 等. 电力系统碳排放流分析理论初探[J]. 电力系统自动化, 2012, 36(7): 38-43.
	ZHOU Tianrui, KANG Chongqing, XU Qianyao, et al. Preliminary theoretical investigation on power system carbon emission flow[J]. Automation of Electric Power Systems, 2012, 36(7): 38-43.
[8]	周天睿, 康重庆, 徐乾耀, 等. 电力系统碳排放流的计算方法初探[J]. 电力系统自动化, 2012, 36(11): 44-49.
	ZHOU Tianrui, KANG Chongqing, XU Qianyao, et al. Preliminary investigation on a method for carbon emission flow calculation of power system[J]. Automation of Electric Power Systems, 2012, 36(11): 44-49.
[9]	康重庆, 程耀华, 孙彦龙, 等. 电力系统碳排放流的递推算法[J]. 电力系统自动化, 2017, 41(18): 10-16.
	KANG Chongqing, CHENG Yaohua, SUN Yanlong, et al. Recursive calculation method of carbon emission flow in power systems[J]. Automation of Electric Power Systems, 2017, 41(18): 10-16.
[10]	冯欣, 杨军. 考虑网络损耗的碳排放流理论改进与完善[J]. 电力自动化设备, 2016, 36(5): 81-86.
	FENG Xin, YANG Jun. Improvement and enhancement of carbon emission flow theory considering power loss[J]. Electric Power Automation Equipment, 2016, 36(5): 81-86.
[11]	周全, 冯冬涵, 徐长宝, 等. 负荷侧碳排放责任直接分摊方法的比较研究[J]. 电力系统自动化, 2015, 39(17): 153-159.
	ZHOU Quan, FENG Donghan, XU Changbao, et al. Methods for allocating carbon obligation in demand side: a comparative study[J]. Automation of Electric Power Systems, 2015, 39(17): 153-159.
[12]	袁书林. 基于电力系统碳排放流理论的碳排放分摊模型[D]. 长沙: 长沙理工大学, 2014.
	YUAN Shulin. A research on the model of allocation of the carbon emission in power system based on carbon emission flow theory[D]. Changsha: Changsha University of Science & Technology, 2014.
[13]	陈丽霞, 孙弢, 周云, 等. 电力系统发电侧和负荷侧共同碳责任分摊方法[J]. 电力系统自动化, 2018, 42(19): 106-111.
	CHEN Lixia, SUN Tao, ZHOU Yun, et al. Method of carbon obligation allocation between generation side and demand side in power system[J]. Automation of Electric Power Systems, 2018, 42(19): 106-111.
[14]	毕瀚文, 范晓舟, 肖海, 等. 支撑电力系统全环节碳流追踪的节点导纳矩阵算法研究[J/OL]. 中国电机工程学报: 1-13 (2022-10-11) [2023-02-13]. https://kns.cnki.net/kcms/detail/11.2107.TM.20221010.1151.002.html.
	BI Hanwen, FAN Xiaozhou, XIAO Hai, et al. A node admittance matrix algorithm to support the carbon emission tracing model of whole power system[J/OL]. Proceedings of the CSEE: 1-13 (2022-10-11) [2023-02-13]. .
[15]	陈家兴, 王春玲, 刘春明. 基于改进碳排放流理论的电力系统动态低碳调度方法研究[J/OL]. 中国电力: 1-15(2023-01-13) [2023-02-13]. https://kns.cnki.net/kcms/detail//11.3265.tm.20230112.1847.001.html.
	CHEN Jiaxing, WANG Chunling, LIU Chunming. Research on dynamic low-carbon dispatching method of power system based on improved carbon emission flow theory[J/OL]. Electric Power:1-15(2023-01-13) [2023-02-13]. https://kns.cnki.net/kcms/detail//11.3265.tm.20230112.1847.001.html.
[16]	KANG C Q, ZHOU T R, CHEN Q X, et al. Carbon emission flow from generation to demand: a network-based model[J]. IEEE Transactions on Smart Grid, 2015, 6(5): 2386-2394. doi: 10.1109/TSG.2015.2388695 URL
[17]	BARCIA P, PESTANA R. Tracing the flows of electricity[J]. International Journal of Electrical Power & Energy Systems, 2010, 32(4): 329-332. doi: 10.1016/j.ijepes.2009.09.009 URL
[18]	荆朝霞, 刘瑗瑗, 曾丽. 4种电网源流分析方法比较[J]. 电力系统自动化, 2010, 34(23): 42-51.
	JING Zhaoxia, LIU Yuanyuan, ZENG Li. Comparison between four commonly used power flow composition analytic methods[J]. Automation of Electric Power Systems, 2010, 34(23): 42-51.
[19]	赵金利, 赵晶, 贾宏杰, 等. 基于潮流追踪和机组再调度的割集断面功率控制方法[J]. 电力系统自动化, 2009, 33(6): 16-20.
	ZHAO Jinli, ZHAO Jing, JIA Hongjie, et al. Interface power control method based on power flow tracing and generator re-dispatch[J]. Automation of Electric Power Systems, 2009, 33(6): 16-20.
[20]	GONG J R, RUAN T T, CHEN H, et al. Simulation research on multi-energy participation in electricity market operation considering user-side carbon responsibility[C]// 2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2022: 944-949.
[21]	陈达, 鲜文军, 吴涛, 等. 混合电力市场下碳排放流的分配[J]. 电网技术, 2016, 40(6): 1683-1688.
	CHEN Da, XIAN Wenjun, WU Tao, et al. Allocation of carbon emission flow in hybrid electricity market[J]. Power System Technology, 2016, 40(6): 1683-1688.
[22]	汪超群, 陈懿, 文福拴, 等. 电力系统碳排放流理论改进与完善[J]. 电网技术, 2022, 46(5): 1683-1693.
	WANG Chaoqun, CHEN Yi, WEN Fushuan, et al. Improvement and perfection of carbon emission flow theory in power systems[J]. Power System Technology, 2022, 46(5): 1683-1693.
[23]	徐青山, 刘梦佳, 黄煜, 等. 大规模风电接入下基于随机配置点法的电网再调度方法[J]. 电网技术, 2018, 42(11): 3557-3566.
	XU Qingshan, LIU Mengjia, HUANG Yu, et al. Optimal re-scheduling model with high wind power integration based on stochastic allocation method[J]. Power System Technology, 2018, 42(11): 3557-3566.
[24]	COLE S, BELMANS R. MatDyn, a new Matlab-based toolbox for power system dynamic simulation[J]. IEEE Transactions on Power Systems, 2011, 26(3): 1129-1136. doi: 10.1109/TPWRS.2010.2071888 URL
[25]	张景淳, 陈胜, 彭琰, 等. 计及灵活爬坡的气-电耦合综合能源系统低碳经济调度研究[J]. 电网技术, 2022, 46(9): 3315-3325.
	ZHANG Jingchun, CHEN Sheng, PENG Yan, et al. Low carbon economic scheduling of gas-electric coupling integrated energy system considering flexible ramping products[J]. Power System Technology, 2022, 46(9): 3315-3325.

基于碳流追踪的电力系统源网荷低碳经济调度

Low-Carbon and Economic Optimal Scheduling of Power System Source-Grid-Load Based on Carbon Flow Tracing Method

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 25

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张逸, 吴逸帆, 陈晶腾. 新型电力系统背景下电压暂降风险评估技术挑战与展望[J]. 电力建设, 2023, 44(2): 15-24.
[2]	樊伟, 李旭东, 王尧, 李祥光, 王玉洁, 谭忠富, 鞠立伟. 新型电力系统灵活性资源聚合两阶段调度优化模型[J]. 电力建设, 2023, 44(2): 25-37.
[3]	邱银锋, 李国香, 田浩, 魏澈, 刘国锋, 吴肇赟. 基于ADMM的海上多平台-岸电供能系统能量-备用协同分布式优化调度[J]. 电力建设, 2023, 44(1): 21-29.
[4]	李生虎, 叶剑桥, 张浩, 陈东, 朱争高. 基于DFIG功率振荡阻尼器的电力系统低频振荡抑制综述[J]. 电力建设, 2022, 43(9): 25-33.
[5]	苏鹏, 陈璐, 吴坚, 刘鑫, 马继涛. 新型电力系统多能源能量惯性动态优化控制模型[J]. 电力建设, 2022, 43(9): 87-93.
[6]	范辉, 罗蓬, 王弘利, 梁纪峰, 李乾, 杨军, 吴赋章. 基于社交网上演化博弈的光伏台区用户需求响应特性研究[J]. 电力建设, 2022, 43(8): 150-158.
[7]	宋铁维, 施伟锋, 毕宗. 基于ST-SSIM的电力系统缺失数据重建方法[J]. 电力建设, 2022, 43(7): 103-112.
[8]	张菁, 林毓军, 齐晓光, 苗世洪, 张倩茅, 董家盛, 陈宇. 考虑碳税与碳交易替代效应的电力系统低碳经济调度方法[J]. 电力建设, 2022, 43(6): 1-11.
[9]	张菁, 林毓军, 齐晓光, 苗世洪, 张倩茅, 董家盛, 陈宇. 考虑碳税与碳交易替代效应的电力系统低碳经济调度方法[J]. 电力建设, 2022, 43(6): 1-11.
[10]	邓慧琼, 罗杰, 王晓铭, 刘昊, 李培强, 李晨晨. 考虑安全性和经济性的连锁故障预防控制策略[J]. 电力建设, 2022, 43(5): 100-108.
[11]	董昱, 董存, 于若英, 夏俊荣, 王会超. 基于线性潮流的电力系统长时间尺度快速时序仿真方法[J]. 电力建设, 2022, 43(2): 126-134.
[12]	赵晶晶, 张宇, 杜明, 朱炯达, 许宏源. 基于模型预测控制的新型电力系统光储电站调频控制策略[J]. 电力建设, 2022, 43(11): 99-107.
[13]	和萍, 宫智杰, 靳浩然, 董杰, 云磊. 高比例可再生能源电力系统调峰问题综述[J]. 电力建设, 2022, 43(11): 108-121.
[14]	杨谦, 刘继春, 蒋万枭. 光伏不同渗透率下考虑源网荷储深度互动的电力系统调峰策略[J]. 电力建设, 2021, 42(9): 74-84.
[15]	杨馥源, 田雪沁, 徐彤, 王新雷, 滕越, 王缔. 面向碳中和电力系统转型的电氢枢纽灵活性应用[J]. 电力建设, 2021, 42(8): 110-117.