电-碳-绿证联合市场交易下大型能源基地两阶段最优运营策略

蒋维勇, 肖云鹏, 易海琼, 赵朗, 王雪莹, 辛超山, 胡志云, 谢红涛, 张新华

电力建设 ›› 2025, Vol. 46 ›› Issue (7) : 150-162.

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电力建设 ›› 2025, Vol. 46 ›› Issue (7) : 150-162. DOI: 10.12204/j.issn.1000-7229.2025.07.012
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电-碳-绿证联合市场交易下大型能源基地两阶段最优运营策略

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Two-Stage Optimal Operation Strategy for Large-Scale Energy Bases Under the Joint Market Trading of Electricity, Carbon, and Green Certificates

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摘要

【目的】 为协调大型能源基地各交易主体在电力-碳-绿证多元市场耦合下的利益诉求,促进新能源发展并实现碳减排与能源转型,提出了一种多市场耦合下的两阶段最优运营策略。【方法】 首先基于系统动力学模型对大型能源基地各市场间的耦合关系进行分析,明确各市场交易机制及多市场耦合下各交易主体因果环路。并在保证各交易主体利益诉求基础上,构建电-碳-绿证联合市场交易下大型能源基地两阶段最优运营策略。其中,第一阶段为各交易主体在联合交易市场下内部利润均衡的日前电量分配;第二阶段为外送整体经济性与低碳性平衡的日内最优调度。【结果】 以某大型能源基地外送系统为例,实例验证结果表明该策略通过利润均衡约束,使传统火电利润可达到自身利益最大化时的87%。【结论】 在各交易主体利益均衡基础上,大型能源基地达到经济性与低碳性有效平衡,实现了碳减排及能源结构调整的目标。

Abstract

[Objective] A two-stage optimal operation strategy under multi-market coupling is proposed to coordinate the interests of various trading entities of large-scale energy bases under the coupling of power, carbon, and green certificate multi-markets, promote the development of new energy, and achieve carbon emission reduction and energy transition.[Methods] First, based on the system dynamics model, the coupling relationship between the markets of large energy bases is analyzed, and the trading mechanism of each market and the causal loop of each trading body under multi-market coupling are clarified. To guarantee the interests of each trading body, we construct a two-stage optimal operation strategy for large-scale energy bases under the joint market of electricity, carbon, and green certificates. The first stage is the distribution of electricity before the day of balanced internal profit for each trading subject in the joint trading market. The second stage is optimal intraday dispatching to balance the overall economy and low-carbon nature of outgoing transmission.[Results] Considering a large energy-based outgoing system as an example, the results of the verification showed that the strategy enabled the profit of traditional thermal power reach 87% of its own interest maximization through the profit equilibrium constraint.[Conclusions] Based on the balanced interests of all trading entities, a large energy base achieves an effective balance between economy and low carbon emissions and realizes the goals of carbon emission reduction and energy structure adjustment.

关键词

最优运营策略 / 大型能源基地 / 碳交易市场 / 绿色证书交易市场

Key words

optimal operating strategy / large-scale energy bases / carbon trading market / green certificate trading market

引用本文

导出引用
蒋维勇, 肖云鹏, 易海琼, . 电-碳-绿证联合市场交易下大型能源基地两阶段最优运营策略[J]. 电力建设. 2025, 46(7): 150-162 https://doi.org/10.12204/j.issn.1000-7229.2025.07.012
JIANG Weiyong, XIAO Yunpeng, YI Haiqiong, et al. Two-Stage Optimal Operation Strategy for Large-Scale Energy Bases Under the Joint Market Trading of Electricity, Carbon, and Green Certificates[J]. Electric Power Construction. 2025, 46(7): 150-162 https://doi.org/10.12204/j.issn.1000-7229.2025.07.012
中图分类号: TM73   

参考文献

[1]
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.
[2]
任大伟, 肖晋宇, 侯金鸣, 等. 双碳目标下我国新型电力系统的构建与演变研究[J]. 电网技术, 2022, 46(10): 3831-3839.
REN Dawei, XIAO Jinyu, HOU Jinming, et al. Construction and evolution of China’s new power system under dual carbon goal[J]. Power System Technology, 2022, 46(10): 3831-3839.
[3]
王睿琛, 蔡娜, 高航, 等. 面向新型电力系统的电力市场主体统一身份模型设计及应用[J]. 电网技术, 2022, 46(11): 4160-4168.
WANG Ruichen, CAI Na, GAO Hang, et al. Design and application of unified identity model for power market subjects of novel power systems[J]. Power System Technology, 2022, 46(11): 4160-4168.
[4]
江岳文, 陈巍. 电-碳-配额制耦合交易综述与展望[J]. 电力建设, 2023, 44(12): 1-13.
摘要
近年来,面对全球气候问题及传统化石能源匮乏带来的挑战,各国陆续提出节能减排和鼓励可再生能源发展的战略目标。碳市场、可再生能源配额制是实现碳减排和促进可再生能源消纳的重要市场手段。作为CO2排放主要责任主体,电力系统低碳绿色转型是助力“碳达峰、碳中和”目标的关键环节,电-碳-配额制耦合将有利于更大程度上促进CO2减排与可再生能源消纳。首先,分析了电力市场与碳市场、电力市场与可再生能源配额制之间的交互机理;其次,从交易机制设计、交易优化、市场交易技术等角度归纳电-碳-配额制耦合交易的研究现状;再次,阐述了碳市场及配额制的国内外实施现状与机制,反映各国减排政策环境;最后,梳理了当前国内电-碳-配额制耦合机制建设面临的挑战和堵点,对电力市场、碳市场与配额制协同发展提出展望,以期为我国耦合交易机制建设提供参考,助力“双碳”目标的实现。
JIANG Yuewen, CHEN Wei. Review and prospect of coupled electricity-carbon-renewable portfolios trading[J]. Electric Power Construction, 2023, 44(12): 1-13.
Recently, in the face of global climate problems and challenges posed by the scarcity of conventional fossil energy sources, governments have successively proposed strategic goals for energy conservation, emission reduction, and support for renewable energy development. The carbon emissions market and renewable portfolio standards are important market tools for reducing carbon emissions and promoting renewable energy consumption. As the main responsible body of CO2 emission, the low-carbon green transformation of power system is the key link to help the “carbon peak, carbon neutral” target, and the coupling of electricity-carbon-renewable portfolio standard will help to promote CO2 emission reduction and renewable energy consumption to a greater extent. First, it analyzes the interaction mechanism between the electricity and carbon markets and the electricity and renewable portfolio standards. Second, it summarizes the current research status of coupled electricity-carbon-renewable portfolio trading from the perspectives of trading mechanism design, trading optimization, and market trading technology. Furthermore, this study describes the current status and mechanisms of the domestic and international implementation of carbon markets and renewable portfolio standards to reflect the policy environment for emissions reduction in different countries. Finally, the challenges and limitations faced by the construction of Chinas electricity-carbon-renewable portfolio-coupling mechanism are sorted out. In addition, the prospect of the synergistic development of the electricity market, carbon market, and renewable portfolio standards is proposed to provide a reference for constructing Chinas coupling trading mechanism and help achieve the goal of “carbon peak and carbon neutrality.”
[5]
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.
摘要
针对如何实现配电网低碳经济运行及新能源高比例消纳问题,提出了考虑碳交易和绿证交易的配电网优化运行策略。首先,分析建立了配电网碳交易和绿证交易模型;然后,以最小化配电网综合运行成本为目标,考虑配电网潮流约束、新能源及分布式能源机组运行约束,建立了配电网低碳经济优化运行模型;最后,基于改进的IEEE 15节点配电网模型对所提配电网优化运行模型进行了验证,结果显示,所提运行策略实现了配电网低碳经济运行,显著降低了系统的碳排放并促进了新能源的消纳,可为以新能源为主体的配电网低碳经济运行提供技术参考。
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.

To realize the low-carbon economic operation of distribution networks with a high penetration of new energy, this study proposes an optimal operation strategy for distribution networks considering carbon trading and green certificate trading. First, distribution network carbon trading and green certificate trading models are analyzed and established. Then, using the comprehensive operation cost of a distribution network as the objective function and considering power flow constraints, the operation constraints of new and distributed energy units, a low-carbon and economic optimal operation model of the distribution network is proposed. Finally, based on the improved IEEE15 node distribution network model, the proposed optimization operation model is verified. This can realize the low-carbon economic operation of the distribution network and significantly reduce carbon emissions, as well as promote the consumption of new energy, providing a technical reference for the low-carbon economic operation of the distribution network with new energy as the main body.

[6]
尚楠, 陈政, 卢治霖, 等. 电力市场、碳市场及绿证市场互动机理及协调机制[J]. 电网技术, 2023, 47(1): 142-154.
SHANG Nan, CHEN Zheng, LU Zhilin, et al. Interaction principle and cohesive mechanism between electricity market, carbon market and green power certificate market[J]. Power System Technology, 2023, 47(1): 142-154.
[7]
SCHUSSER S, JARAITĖ J. Explaining the interplay of three markets: green certificates, carbon emissions and electricity[J]. Energy Economics, 2018, 71: 1-13.
[8]
FENG T T, LI R, ZHANG H M, et al. Induction mechanism and optimization of tradable green certificates and carbon emission trading acting on electricity market in China[J]. Resources, Conservation and Recycling, 2021, 169: 105487.
[9]
冯昌森, 谢方锐, 文福拴, 等. 基于智能合约的绿证和碳联合交易市场的设计与实现[J]. 电力系统自动化, 2021, 45(23): 1-11.
FENG Changsen, XIE Fangrui, WEN Fushuan, et al. Design and implementation of joint trading market for green power certificate and carbon based on smart contract[J]. Automation of Electric Power Systems, 2021, 45(23): 1-11.
[10]
WANG G, ZHANG Q, SU B, et al. Coordination of tradable carbon emission permits market and renewable electricity certificates market in China[J]. Energy Economics, 2021, 93: 105038.
[11]
YU Xianyu, DONG Zhuojia, ZHOU Dequn, et al. Integration of tradable green certificates trading and carbon emissions trading: how will Chinese power industry do[J]. Journal of Cleaner Production, 2021, 279: 123485.
[12]
SIMAB M, JAVADI M S, NEZHAD A E. Multi-objective programming of pumped-hydro-thermal scheduling problem using normal boundary intersection and VIKOR[J]. Energy, 2018, 143: 854-866.
[13]
KHALOIE H, ABDOLLAHI A, SHAFIE-KHAH M, et al. Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties[J]. Journal of Cleaner Production, 2020, 242: 118434.
[14]
POURGHASEM P, SOHRABI F, ABAPOUR M, et al. Stochastic multi-objective dynamic dispatch of renewable and CHP-based islanded microgrids[J]. Electric Power Systems Research, 2019, 173: 193-201.
[15]
武昭原, 周明, 姚尚润, 等. 基于合作博弈论的风储联合参与现货市场优化运行策略[J]. 电网技术, 2019, 43(8): 2815-2824.
WU Zhaoyuan, ZHOU Ming, YAO Shangrun, et al. Optimization operation strategy of wind-storage coalition in spot market based on cooperative game theory[J]. Power System Technology, 2019, 43(8): 2815-2824.
[16]
崔杨, 张聪, 赵钰婷, 等. 计及碳捕集电厂调峰定价策略的多主体电力系统日前-实时灵活调度[J]. 中国电机工程学报, 2023, 43(18): 7043-7061.
CUI Yang, ZHANG Cong, ZHAO Yuting, et al. Multi agent power system considering peak shaving pricing strategy of carbon capture power plant day ahead-real-time flexible scheduling[J]. Proceedings of the CSEE, 2023, 43(18): 7043-7061.
[17]
袁桂丽, 刘培德, 唐福斌, 等. 计及绿色电力证书与碳交易制度的“源-荷” 协调优化调度[J]. 太阳能学报, 2022, 43(6): 190-195.
摘要
基于低碳电力和智能电网的背景,考虑现有的风电消纳困境,该文以绿色电力证书为基础,结合碳排放权的交易制度,同时引入需求侧高载能企业负荷的响应模型,并将虚拟电厂经济效益作为优化目标函数,建立以绿证交易为基础,结合碳交易制度和高载能需求侧响应的“源-荷”双侧互补协调优化调度模型。最后将某省份区域电网代入到该文所构建模型之中进行仿真,并采用自适应免疫疫苗算法对模型进行求解,结果表明所建立的计及绿证交易与碳交易的模型有利于促进风电消耗,降低单位发电量的碳排放。
YUAN Guili, LIU Peide, TANG Fubin, et al. Source-load coordination optimal scheduling considering green power certificate and carbon trading mechanisms[J]. Acta Energiae Solaris Sinica, 2022, 43(6): 190-195.
Under the background of low-carbon power and smart grid,considering the existing dilemma of wind power consumption,based on the Green Power Certificate and carbon emission trading system, at the same time introducing the response model of the demand side high capacity energy enterprise load,and taking the economic benefit of the virtual power plant as the optimization objective function, a “source-load” dual-side complementary coordinated optimal dispatch model is established. And then,the regional power grid of a province is substituted into the model constructed in this paper for simulation. Finally, the model is solved using advanced adaptive immune vaccine algorithm. The results show that the established model taking into account green certificate trading and carbon trading is beneficial to improve wind power utilization and reduce carbon emission per unit of electricity generation.
[18]
骆钊, 秦景辉, 梁俊宇, 等. 含碳-绿色证书联合交易机制的综合能源系统日前优化调度[J]. 电力自动化设备, 2021, 41(9): 248-255.
LUO Zhao, QIN Jinghui, LIANG Junyu, et al. Day-ahead optimal scheduling of integrated energy system with carbon-green certificate coordinated trading mechanism[J]. Electric Power Automation Equipment, 2021, 41(9): 248-255.
[19]
周任军, 孙洪, 唐夏菲, 等. 双碳量约束下风电-碳捕集虚拟电厂低碳经济调度[J]. 中国电机工程学报, 2018, 38(6): 1675-1683, 1904.
ZHOU Renjun, SUN Hong, TANG Xiafei, et al. Low-carbon economic dispatch based on virtual power plant made up of carbon capture unit and wind power under double carbon constraint[J]. Proceedings of the CSEE, 2018, 38(6): 1675-1683, 1904.
[20]
石振江, 岳云力, 岳昊, 等. 计及可再生能源时序出力重构的电力系统时序生产模拟[J]. 供用电, 2023, 40(12): 87-96.
SHI Zhenjiang, YUE Yunli, YUE Hao, et al. Time series production simulation of power system with renewable energy time series output reconstruction[J]. Distribution Utilization, 2023, 40(12): 87-96.
[21]
余顺坤, 毕平平, 杨文茵, 等. 基于配额制的可再生能源动态发展系统动力学研究[J]. 中国电机工程学报, 2018, 38(9): 2599-2608, 2828.
YU Shunkun, BI Pingping, YANG Wenyin, et al. Dynamic development system dynamics of renewable energy considering renewable energy quota system[J]. Proceedings of the CSEE, 2018, 38(9): 2599-2608, 2828.
[22]
李吉峰, 邹楠, 李卫东, 等. 计及需求灵活性的地区绿色证书、碳排放权及电力联合交易分析[J]. 电网技术, 2023, 47(8): 3164-3176.
LI Jifeng, ZOU Nan, LI Weidong, et al. Analysis of local green power certificate, carbon emission and electricity joint trading considering demand flexibility[J]. Power System Technology, 2023, 47(8): 3164-3176.
[23]
崔勇, 韩一春, 郑谦, 等. 多能联盟低碳运营决策方法研究框架与展望[J]. 电测与仪表, 2024, 61(3): 10-19.
CUI Yong, HAN Yichun, ZHENG Qian, et al. Research framework and prospect of multi-energy alliance low-carbon operation decision-making method[J]. Electrical Measurement Instrumentation, 2024, 61(3): 10-19.
[24]
吴任博, 刘淑琴. 考虑市场交易的新型电力系统调度辅助决策方法研究[J]. 电测与仪表, 2023, 60(11): 81-89.
WU Renbo, LIU Shuqin. Research on dispatching assistant decision-making method for novel power system considering market transaction[J]. Electrical Measurement Instrumentation, 2023, 60(11): 81-89.
[25]
陈图南, 李文萱, 李云, 等. “双碳” 背景下碳-绿证-电力市场耦合机制综述[J]. 广东电力, 2024, 37(8): 14-25.
CHEN Tunan, LI Wenxuan, LI Yun, et al. Review on coupling mechanism of carbon, green certificate and power market under the background of carbon peaking and carbon neutrality[J]. Guangdong Electric Power, 2024, 37(8): 14-25.
[26]
邝敏亮. 广东电力现货市场环境下火电企业中长期交易策略制定思路[J]. 广东电力, 2023, 36(5): 10-17.
KUANG Minliang. Reflections on formulating medium and long term trading strategies of thermal power generation enterprises under Guangdong electricity spot market[J]. Guangdong Electric Power, 2023, 36(5): 10-17.
[27]
刘航航, 周蕾, 司君诚, 等. 考虑电价不确定性的发电企业电能量-辅助服务市场报价策略[J]. 山东电力技术, 2024, 51(8): 27-35.
LIU Hanghang, ZHOU Lei, SI Juncheng, et al. A bidding strategy of electric energy and auxiliary service market for power generation enterprises considering the uncertainty[J]. Shandong Electric Power, 2024, 51(8): 27-35.
[28]
李梦露, 德格吉日夫. 电力现货市场下储能系统经济效益研究[J]. 分布式能源, 2023, 8(1): 11-18.
LI Menglu, DE Gejirifu. Economic benefits of energy storage system under the electricity spot market[J]. Distributed Energy, 2023, 8(1): 11-18.
[29]
刘坚, 王建光, 王晶, 等. 面向电力现货市场的独立储能经济性分析与容量补偿机制探索[J]. 全球能源互联网, 2024, 7(2): 179-189.
LIU Jian, WANG Jianguang, WANG Jing, et al. A study on tech-economic analysis on independent energy storage in spot power market and associated capacity mechanisms[J]. Journal of Global Energy Interconnection, 2024, 7(2): 179-189.
[30]
王勉, 王敬华, 董克前. 电力物联网背景下综合能源微网调度运行策略研究[J]. 高压电器, 2024, 60(6): 172-180.
WANG Mian, WANG Jinghua, DONG Keqian. Research on dispatching operation strategy of integrated energy microgrid in the context of power Internet of Things[J]. High Voltage Apparatus, 2024, 60(6): 172-180.
[31]
王钦, 陈业夫, 蔡新雷, 等. 考虑柔性负荷和阶梯型碳交易的低碳经济优化调度策略[J]. 广东电力, 2024, 37(1): 76-85.
WANG Qin, CHEN Yefu, CAI Xinlei, et al. Optimization scheduling strategy for low-carbon economy considering flexible loads and tiered carbon trading[J]. Guangdong Electric Power, 2024, 37(1): 76-85.

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国家电网有限公司总部科技项目(5100-202456031A-1-1-ZN)

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