杨军,王楠楠,王江,骆亚帅,陈慧娜
YANG Jun,WANG Nannan,WANG Jiang,LUO Yashuai,CHEN Huina

• 1:北京石油化工学院电气工程系
• 2:北京电力设备总厂有限公司

摘要(Abstract)：

分布式资源的碳排放特性差异导致配电网各节点碳排放强度存在时空差异性，为有效支撑配电网低碳分析优化以及用户侧低碳核算与交易，建立了有源配电网电碳耦合模型，基于潮流追踪对有源配电网碳排放流情况进行定量分析研究，将碳排放成本纳入配电系统经济成本中。以电力系统总经济成本最小为目标，通过IEEE 33节点算例进行仿真分析，验证了所述方法的可行性和有效性。
The varying carbon emission characteristics of distributed resources result in spatial-temporal differences in emission intensity at various nodes in the distribution networks. To effectively support low-carbon analysis and optimization in distribution networks as well as low-carbon accounting and trading at the user side, a model for electricity-carbon coupling in active distribution networks is built. Using load flow tracking, quantitative analysis and research on the carbon emission flow in active distribution networks is conducted, incorporating carbon emission costs into the economic costs of the distribution system. Aiming for the minimum total economic cost of the power system, simulation analysis is carried out using the IEEE 33-node test case, validating the feasibility and efficacy of the proposed method.

关键词(KeyWords)： 有源配电网;分布式电源;潮流计算;碳排放流分析;电碳耦合
active distribution network;distributed generation;power flow calculation;carbon emission flow analysis;electricity-carbon coupling

Abstract:

Keywords:

基金项目(Foundation): 北京市高等教育学会面上课题（MS2022145）;; 国家电网有限公司科技项目（5213001601BA）

作者(Author): 杨军,王楠楠,王江,骆亚帅,陈慧娜
YANG Jun,WANG Nannan,WANG Jiang,LUO Yashuai,CHEN Huina

DOI: 10.19585/j.zjdl.202406009

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 CAE,2021,23(6):1-14.
• [2]亢朋朋，王啸天，陈铨艺，等.考虑碳交易的综合能源系统在不同配置情景下的运行分析[J].智慧电力，2023,51(4):16-22.KANG Pengpeng,WANG Xiaotian,CHEN Quanyi,et al.Operation analysis of integrated energy system considering carbon trading under different configuration scenarios[J].Smart Power,2023,51(4):16-22, 45.
• [3]汤东升，钟伟东，慕小斌，等.基于鲁棒模型的多站融合场景下综合能源系统全局低碳策略[J].电测与仪表，2022,59(6):113-121.TANG Dongsheng,ZHONG Weidong,MU Xiaobin,et al.Global low carbon strategy of integrated energy system in multi-station integration based on robust model[J].Electrical Measurement&Instrumentation,2022,59(6):113-121.
• [4]程定一，马欢，杨冬，等.计及碳排放和空调负荷的源网荷协同调度技术研究[J].山东电力技术，2022,49(11):20-24.CHENG Dingyi,MA Huan,YANG Dong,et al. Codispatch of source-grid-load considering carbon emission and air conditioning loads[J]. Shandong Electric Power,2022,49(11):20-24.
• [5]黄景光，熊华健，李振兴，等.基于生命周期法和碳权交易的综合能源系统低碳经济调度[J].电测与仪表，2022,59(3):82-91.HUANG Jingguang,XIONG Huajian,LI Zhenxing,et al.Low-carbon economic dispatch of integrated energy system based on life cycle method and carbon trading[J].Electrical Measurement&Instrumentation,2022,59(3):82-91.
• [6]中华人民共和国中央人民政府.中共中央国务院关于完整准确全面贯彻新发展理念做好碳达峰碳中和工作的意见[EB/OL].[2021-09-22].http：//www.gov.cn/xinwen/2021-10/24/content_5644613.Htm.
• [7]王成山，李鹏，于浩.智能配电网的新形态及其灵活性特征分析与应用[J].电力系统自动化，2018,42(10):13-21.WANG Chengshan,LI Peng,YU Hao.Development and characteristic analysis of flexibility in smart distribution network[J].Automation of Electric Power Systems,2018,42(10):13-21.
• [8]邓淑斌，李嵘，梁志飞，等.考虑碳交易和绿证交易的配电网优化运行策略[J].电力建设，2023,44(10):149-156.DENG Shubin,LI Rong,LIANG Zhifei,et al.The optimal operation strategy of distribution network considering carbon trading and green certificate trading mechanisms[J].Electric Power Construction,2023,44(10):149-156.
• [9]李彬，杜亚彬，曹望璋，等.计及负载特性的数据中心微电网双层优化配置[J].电力工程技术，2023,42(2):75-83.LI Bin,DU Yabin,CAO Wangzhang,et al.Bi-level optimal configuration of microgrid in data center considering load characteristics[J].Electric Power Engineering Technology,2023,42(2):75-83.
• [10]张俊潇，高崇，李京平，等.考虑低碳和柔性负荷的有源配电网混合整数二阶锥规划[J].电力建设，2022,43(12):66-73.ZHANG Junxiao,GAO Chong,LI Jingping,et al.Mixedinteger second-order cone programming for active distribution networks considering low-carbon and flexible loads[J].Electric Power Construction,2022,43(12):66-73.
• [11]崔文倩，魏军强，赵云灏，等.双碳目标下含重力储能的配电网多目标运行优化[J].电力建设，2023,44(4):45-53.CUI Wenqian,WEI Junqiang,ZHAO Yunhao,et al.Multiobjective operation optimization of distribution network with gravity energy storage under double carbon target[J].Electric Power Construction,2023,44(4):45-53.
• [12] EHSAN A,YANG Q.State-of-the-art techniques for modelling of uncertainties in active distribution network planning:a review[J].Applied Energy,2019,239:1509-1523.
• [13]陶鹏，张冰玉，韩桂楠，等.计及源荷双侧风险管理的光储微网两阶段低碳运行优化研究[J].智慧电力，2023,51(11):1-6.TAO Peng,ZHANG Bingyu,HAN Guinan,et al. Twostage low carbon operation optimization of photovoltaic storage microgrid considering risk management of both source and load sides[J].Smart Power,2023,51(11):1-6.
• [14]何鑫，刘俊勇，高红均，等.计及光伏不确定性和低碳需求响应的工业园区光-储分布鲁棒规划模型[J].智慧电力，2023,51(2):69-76.HE Xin,LIU Junyong,GAO Hongjun,et al.Photovoltaicenergy storage distributed robust planning model for industrial parks considering photovoltaic uncertainty and lowcarbon demand response[J].Smart Power,2023,51(2):69-76.
• [15]唐建林，余涛，肖勇，等.基于迁移多搜索器Q学习算法的碳能复合流无功优化[J].电力电容器与无功补偿，2022,43(1):18-29.TANG Jianlin,YU Tao,XIAO Yong,et al. Reactive power optimization of carbon-energy composite flow based on transfer multi-searcher Q-learning[J].Power Capacitor&Reactive Power Compensation,2022,43(1):18-29.
• [16]国家发展改革委国家能源局.关于印发《“十四五”现代能源体系规划》的通知[EB/OL].[2022-1-29].http：//zfxxgk.nea.gov.cn/2022-01/29/c_1310524241.htm.
• [17] WANG C X,LU Z X,QIAO Y. A consideration of the wind power benefits in day-ahead scheduling of wind-coal intensive power systems[J].IEEE Transactions on Power Systems,2013,28(1):236-245.
• [18]宋宸宇，王承阳，李宝宽.面向未来绿色家园的多能流系统建模与优化[J].热力发电，2020,49(9):32-38.SONG Chenyu,WANG Chengyang,LI Baokuan.Modeling and optimization of multi-energy flow system for future green homes[J].Thermal Power Generation,2020,49(9):32-38.
• [19] 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.
• [20] ROUHOLAMINI M,MILLER C J,WANG C S.Determining consumer’s carbon emission obligation through virtual emission tracing in power systems[J].Environmental Progress&Sustainable Energy,2020,39(1):e13279.1-e13279.
• [21]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.
• [22] LI B W,SONG Y H,HU Z C. Carbon flow tracing method for assessment of demand side carbon emissions obligation[J].IEEE Transactions on Sustainable Energy,2013,4(4):1100-1107.
• [23]李岩松，刘启智，张朕搏，等.基于电网功率分布的碳排放流计算方法[J].电网技术，2017,41(3):840-844.LI Yansong,LIU Qizhi,ZHANG Zhenbo,et al.Algorithm of carbon emission flow based on power distribution[J].Power System Technology,2017,41(3):840-844.
• [24]陈艺璇，张孝顺，郭乐欣，等.基于多智能体迁移强化学习算法的电力系统最优碳-能复合流求解[J].高电压技术，2019,45(3):863-872.CHEN Yixuan,ZHANG Xiaoshun,GUO Lexin,et al.Optimal carbon-energy combined flow in power system based on multi-agent transfer reinforcement learning[J]. High Voltage Engineering,2019,45(3):863-872.
• [25]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.
• [26] MELGAR-DOMINGUEZ O D, POURAKBARIKASMAEI M,LEHTONEN M,et al. An economicenvironmental asset planning in electric distribution networks considering carbon emission trading and demand response[J].Electric Power Systems Research,2020,181:106202.
• [27] SUN P R,HAO X J,WANG J,et al. Low-carbon economic operation for integrated energy system considering carbon trading mechanism[J].Energy Science&Engineering,2021,9(11):2064-2078.
• [28]周天睿，康重庆.基于碳排放流的配电系统低碳优化运行方法研究[J].全球能源互联网，2019,2(3):241-247.Zhou T,Kang C.Research on low-carbon oriented optimal operation of distribution networks based on carbon emission flow theory[J].Journal of Global Energy Interconnection,2021,9(11):2064-2078.
• [29] GUO Y,ZHANG H B,CUI K,et al.Life-cycle low carbon simulation of smart distribution network considering power loss[C]//2018 2nd IEEE Conference on Energy Internet and Energy System Integration(EI2). October20-22,2018.Beijing,China:IEEE,2018.
• [30] WANG H J,SHEN X D,LIU J Y.Planning of new distribution network considering green power certificate trading and carbon emissions trading[J].Energies,2022,15(7):2435.