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考虑电能交易间接碳排放的多能微电网低碳运行优化
Optimization of Low-Carbon Operation for Multi-Energy Microgrids Considering Indirect Carbon Emissions from Electricity Trading
【目的】为准确反映负荷侧碳排放差异,完整核算系统运行生产所产生的全部碳排放量,挖掘低碳需求响应潜力,提出一种考虑电能交易间接碳排放的多能微电网低碳运行优化模型。【方法】首先基于电、热、气能流约束和多能互补需求响应特性,构建多能微电网运行优化模型;为准确反映负荷侧碳核算责任差异,基于电能交易路径进行购电间接碳排放量核算,将购电来源及路径分配纳入优化决策;进一步,建立考虑需求响应的多能微电网系统低碳运行优化模型,在MATLAB环境下,利用YALMIP工具箱进行建模,采用CPLEX求解器求解。【结果】对比不考虑间接碳排放成本的常规需求响应,系统日运行成本下降3.90%,系统总碳排放量减少552.63 kg,下降50.84%。较区域平均碳排放因子法,电能交易合约路径下系统间接碳排放量减少547.46 kg,下降44.23%。【结论】所提方法可为多能源微电网的经济低碳运行提供理论和模型参考,有效激发用户侧低碳响应积极性。
[Objective] To accurately reflect the carbon emission differences on the load side, fully account for the total carbon emissions generated during system operation, and explore the potential of low-carbon demand response, a low-carbon operation optimization model for multi-energy microgrids considering indirect carbon emissions from electricity transactions is proposed. [Methods] First, an operation optimization model of multi-energy microgrids was established based on the energy flow constraints of electricity, heat and gas, as well as the complementary demand response characteristics of multi-energy carriers. To precisely differentiate carbon accounting responsibilities among load-side entities, indirect carbon emissions from purchased electricity were quantified according to power transaction paths, and the source and path allocation of purchased power were incorporated into optimization decisions. Furthermore, a low-carbon operation optimization model for multi-energy microgrids integrating demand response was developed. The model was formulated in the MATLAB environment using the YALMIP toolbox and solved by the CPLEX solver. [Results] Compared with the conventional demand response scheme without indirect carbon emission costs, the daily system operation cost decreases by 3.90%, and the total system carbon emissions drop by 552.63 kg, representing a reduction of 50.84%. In contrast to the regional average carbon emission factor method, the indirect carbon emissions of the system under the power transaction contract path are reduced by 547.46 kg, achieving a decline of 44.23%. [Conclusions] The proposed method provides theoretical and model references for the economical and low-carbon operation of multi-energy microgrids, and effectively stimulates the enthusiasm of end-users for low-carbon response.
microgrid systems / electricity transaction / indirect carbon emissions / low-carbon operation
| [1] |
|
| [2] |
王常乐, 刘海涛, 吕志鹏. 基于灰狼算法的直流微电网H∞鲁棒控制[J]. 供用电, 2024, 41(4): 53-61.
|
| [3] |
|
| [4] |
樊会丛, 段志国, 陈志永, 等. 基于多智能体深度策略梯度的离网型微电网双层优化调度[J]. 中国电力, 2025, 58(5): 11-20, 32.
|
| [5] |
申珂光, 刘东, 翁嘉明, 等. 交直流混合微电网配微协同典型应用场景与测试算例[J]. 供用电, 2025, 42(10):71-79.
|
| [6] |
周煜韬, 王洪达, 焦志鹏, 等. 微电网效能评价指标体系与评价方法研究综述[J]. 广东电力, 2025, 38(8): 63-79.
|
| [7] |
|
| [8] |
|
| [9] |
钟锦星, 陈艺丹, 叶羽转, 等. 考虑源荷时序关联特性与需求响应弹性调节的园区低碳规划方法[J]. 广东电力, 2025, 38(9): 93-107.
|
| [10] |
郭鑫, 张俊拓, 崇玉婷, 等. 基于多任务进化混沌粒子群的光储直柔微电网协同优化方法[J/OL]. 控制与决策,2026-03-27.https://doi.org/10.13195/j.kzyjc.2025.1102.
|
| [11] |
|
| [12] |
张珍凤, 贺慧. 多能互补微电网系统的能量优化配置分析[J]. 电子技术, 2025, 54(11): 202-203.
|
| [13] |
李佳玮, 孙庆贺, 王琼, 等. 计及不确定相关性的多能微电网数据驱动分布鲁棒优化调度[J]. 电力建设, 2025, 46(8): 22-33.
|
| [14] |
李鸿, 朱继忠, 董瀚江. 考虑协变量因素的多能微电网两阶段分布鲁棒优化调度[J]. 中国电机工程学报, 2025, 45(3): 822-834.
|
| [15] |
|
| [16] |
金鑫, 李超, 潘廷哲, 等. 基于改进碳交易机制的综合能源系统低碳需求响应优化方法[J]. 电力科学与技术学报, 2025, 40(6): 221-232.
|
| [17] |
张海峰, 李晓华, 周兴华. 考虑需求响应与碳交易的综合能源系统优化调度策略[J]. 电力科学与技术学报, 2025, 40(5): 218-226.
|
| [18] |
贺代文, 张新, 姜金朋, 等. 计及源-荷灵活响应和新型降碳机制的孤岛综合能源系统优化调度[J]. 高压电器, 2025, 61(5): 20-30.
|
| [19] |
陈静, 盛铭真, 张岩, 等. 考虑源荷双侧需求响应和氢能多元利用的综合能源系统低碳经济优化[J]. 广东电力, 2025, 38(1): 18-31.
|
| [20] |
蒋丽, 韩冬. 基于TD3算法的配-微电网异构智能体主从博弈分层低碳优化运行策略[J/OL]. 电力系统及其自动化学报,2026-03-06.https://doi.org/10.19635/j.cnki.csu-epsa.001811.
|
| [21] |
杨丰任, 王鸿, 王致杰. 基于碳排放生产优先级的综合能源虚拟电厂优化运行策略[J]. 电力科学与技术学报, 2024, 39(5): 192-202.
|
| [22] |
李振坤, 李逸沐, 罗潇, 等. 计及碳交易和绿电占比的园区微电网优化运行[J]. 电测与仪表, 2025, 62(5): 130-139.
|
| [23] |
李怡晨, 李强, 李宏伟, 等. 融合阶梯式碳交易与需求响应的源荷协同优化[J]. 广东电力, 2024, 37(4): 71-79.
|
| [24] |
路博凯, 吕干云, 刘奕辰, 等. 计及CCER阶梯式碳交易与综合需求响应的微网优化调度[J]. 电气自动化, 2026, 48(1): 59-62, 66.
|
| [25] |
Understanding electricity scope 2 attribution rules[EB/OL].(2022-11-16)[2023-08-31]. https://www.electricitymaps.com/guides/accounting-guide.
|
| [26] |
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.
|
| [27] |
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.
|
| [28] |
刘天蔚, 边晓燕, 吴珊, 等. 电力系统碳排放核算综述与展望[J]. 电力系统保护与控制, 2024, 52(4): 176-187.
|
| [29] |
李姚旺, 刘昱良, 杨晓斌, 等. 计及电量交易信息的用电碳计量方法[J]. 中国电机工程学报, 2024, 44(2): 439-450.
|
| [30] |
杨维, 张宁, 康重庆. 基于电力市场合约的企业电力碳排放核算研究[J]. 电网技术, 2024, 48(10): 4115-4124.
|
| [31] |
张显, 谢开, 张晓静, 等. 基于合约路径的电力用户分时碳排放溯源[J]. 电力系统自动化, 2026, 50(4): 56-68.
|
| [32] |
左超文. 基于动态分时电价策略的微电网分层优化调度[D]. 贵阳: 贵州大学, 2024.
|
| [33] |
蔡瑶. 交直流混合多能微网优化调度研究[D]. 秦皇岛: 燕山大学, 2023.
|
| [34] |
迟一璇. 考虑源-荷协同的综合能源系统低碳经济优化研究[D]. 阜新: 辽宁工程技术大学, 2024.
|
| [35] |
蔡瑶, 卢志刚, 潘尧, 等. 计及多重差异的交直流混合多能微网多时间尺度优化调度[J]. 电工技术学报, 2024, 39(11): 3392-3410.
|
| [36] |
高聪冲. 基于博弈论的区域综合能源型多微网优化运行研究[D]. 西安: 西安理工大学, 2024.
|
| [37] |
滕越. 计及P2G平抑波动能力的综合能源系统运行优化研究[D]. 北京: 华北电力大学, 2024.
|
| [38] |
任伟嘉. 计及供需双响应的IES低碳经济调度及效益评价研究[D]. 北京: 华北电力大学, 2024.
|
| [39] |
魏震波, 马新如, 郭毅, 等. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43(1): 1-9.
综合能源系统是实现“双碳”目标的有效途径,为进一步挖掘其需求侧可调节潜力对碳减排的作用,提出了一种碳交易机制下考虑需求响应的综合能源系统优化运行模型。首先,根据负荷响应特性将需求响应分为价格型和替代型2类,分别建立了基于价格弹性矩阵的价格型需求响应模型,及考虑用能侧电能和热能相互转换的替代型需求响应模型;其次,采用基准线法为系统无偿分配碳排放配额,并考虑燃气轮机和燃气锅炉的实际碳排放量,构建一种面向综合能源系统的碳交易机制;最后,以购能成本、碳交易成本及运维成本之和最小为目标函数,建立综合能源系统低碳优化运行模型,并通过4类典型场景对所提模型的有效性进行了验证。通过对需求响应灵敏度、燃气轮机热分配比例和不同碳交易价格下系统的运行状态分析发现,合理分配价格型和替代型需求响应及燃气轮机产热比例有利于提高系统运行经济性,制定合理的碳交易价格可以实现系统经济性和低碳性协同。
The integrated energy system (IES) is an effective way to achieve the“carbon neutrality and emission peak”goal. In order to further explore the role of the adjustable potential of demand side on carbon emission reduction, an optimized operation model of IES considering the demand response under the carbon trading mechanism is proposed. Firstly, according to the characteristics of load response, the demand response is divided into two types: price-type and substitution-type. The price-type demand response model is established on the basis of price elasticity matrix, and the substitution-type demand response model is constructed by considering the conversion of electricity and heat. Secondly, base-line method is used to allocate free carbon emission quota for the system, and considering the actual carbon emissions of gas turbine and gas boiler, a carbon trading mechanism for the IES is constructed. Finally, a low-carbon optimal operation model of IES is established, whose objective is to minimize the sum cost of energy purchase, cost of carbon transaction and cost of IES operation and maintenance. The effectiveness of the proposed model is verified through four typical scenarios. By analyzing the sensitivity of demand response, heat distribution ratio of gas turbine and the operating state of the system under different carbon trading prices, it is found that reasonable allocation of price-type and substitution-type demand response and heat production ratio of gas turbine is beneficial to improve the operating economy of the system. Making reasonable carbon trading price can realize the coordination of system economy and low carbon. |
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易涛承担研究方向确定、论文框架设计、论文模型构建、论文修订与审核工作;梁湘承担算例分析、图表绘制、论文撰写工作;刘源承担可行性调查分析、论文修订工作。所有作者均阅读并同意了论文终稿内容。
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