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考虑碳超额率和电转气的园区综合能源优化运行方法

姜立兵, 申建华, 庞万, 孙浩, 曲宸熙

姜立兵,申建华,庞万,等. 考虑碳超额率和电转气的园区综合能源优化运行方法[J]. 南方能源建设,2025,12(3):102-114.. DOI: 10.16516/j.ceec.2024-218
引用本文: 姜立兵,申建华,庞万,等. 考虑碳超额率和电转气的园区综合能源优化运行方法[J]. 南方能源建设,2025,12(3):102-114.. DOI: 10.16516/j.ceec.2024-218
JIANG Libing, SHEN Jianhua, PANG Wan, et al. Optimization operation method for integrated energy systems in parks considering carbon excess rate and electricity-to-gas conversion [J]. Southern energy construction, 2025, 12(3): 102-114. DOI: 10.16516/j.ceec.2024-218
Citation: JIANG Libing, SHEN Jianhua, PANG Wan, et al. Optimization operation method for integrated energy systems in parks considering carbon excess rate and electricity-to-gas conversion [J]. Southern energy construction, 2025, 12(3): 102-114. DOI: 10.16516/j.ceec.2024-218
姜立兵,申建华,庞万,等. 考虑碳超额率和电转气的园区综合能源优化运行方法[J]. 南方能源建设,2025,12(3):102-114.. CSTR: 32391.14.j.ceec.2024-218
引用本文: 姜立兵,申建华,庞万,等. 考虑碳超额率和电转气的园区综合能源优化运行方法[J]. 南方能源建设,2025,12(3):102-114.. CSTR: 32391.14.j.ceec.2024-218
JIANG Libing, SHEN Jianhua, PANG Wan, et al. Optimization operation method for integrated energy systems in parks considering carbon excess rate and electricity-to-gas conversion [J]. Southern energy construction, 2025, 12(3): 102-114. CSTR: 32391.14.j.ceec.2024-218
Citation: JIANG Libing, SHEN Jianhua, PANG Wan, et al. Optimization operation method for integrated energy systems in parks considering carbon excess rate and electricity-to-gas conversion [J]. Southern energy construction, 2025, 12(3): 102-114. CSTR: 32391.14.j.ceec.2024-218

考虑碳超额率和电转气的园区综合能源优化运行方法

基金项目: 

辽宁省自然科学基金联合基金面上项目“考虑冷热电气耦合特性的低碳区域综合能源系统优化方法研究”(2023-MSLH-263)

详细信息
    作者简介:

    姜立兵,1970-,男,高级工程师,学士,研究方向为新能源技术等(email)scj010606@163.com

    庞万,1999-,男,硕士在读,研究方向为新能源控制与并网技术等(email)pangwan0902@163.com

    通讯作者:

    庞万,(email)pangwan0902@163.com

  • 中图分类号: TK01;TM732

Optimization Operation Method for Integrated Energy Systems in Parks Considering Carbon Excess Rate and Electricity-to-Gas ConversionEn

  • 摘要:
    目的 

    随着“碳达峰、碳中和”目标的提出,低碳环保理念被推向了一个崭新的高度。园区作为能源终端,成为低碳减排的重要载体。

    方法 

    针对含电-气-热耦合的园区综合能源系统运行经济性及弃风弃光问题,提出一种基于电转气(P2G)的园区综合能源优化运行方法。引入电解槽、甲烷反应器、氢燃料电池替换传统的P2G,为新能源消纳提供了有效的方法。

    结果 

    为进一步降低园区二氧化碳的排放,引入基于碳超额率的阶梯式碳交易机制。以园区的日运行成本作为优化目标,建立优化调度模型,设定满足园区综合能源系统的供需平衡及设备的运行约束条件。结果显示:系统运行成本降低了12.4%,系统的碳排放量降低了16.2%,风电与光伏的利用率分别提高了29.3%和25.7%。

    结论 

    运用CPLEX商业求解器进行求解,通过设置多个运行情景,对比验证了所提策略有效提升了园区综合能源系统的经济性和低碳性,为园区实现碳减排目标提供了有力支持。

    Abstract:
    Objective 

    With the proposal of "carbon peak, carbon neutrality" goal, the concept of low-carbon environmental protection has been raised to a new height. As energy terminals, the parks have become an important carrier of low-carbon emission reduction.

    Method 

    Aiming at the operation economy of the integrated energy system in the parks with electricity-gas-heat coupling and the problem of wind and light curtailment, an optimization operation method for the integrated energy systems in parks based on electricity-to-gas (P2G) conversion was proposed. The electrolysis tanks, methane reactors and hydrogen fuel cells were introduced to replace the traditional P2G, providing an effective method for new energy consumption.

    Result 

    In order to further reduce the carbon dioxide emissions in the parks, a stepped carbon trading mechanism based on the carbon excess rate was introduced. Taking the daily operating cost of the parks as the optimization target, an optimal scheduling model was established to set constraints to satisfy the supply/demand balance of the integrated energy system and the operation of the equipment in the parks. The results show a 12.4% reduction in system operating costs, a 16.2% reduction in system carbon emissions, and a 29.3% and 25.7% increase in wind and photovoltaic utilization, respectively.

    Conclusion 

    The CPLEX business solver is used as a solution, and the proposed strategy is compared and verified to effectively improve the economy and low carbon of the integrated energy system in the parks by setting up multiple operation scenarios, which provides a strong support for the parks to achieve the goal of carbon emission reduction.

  • 图  1   基于P2G的园区综合能源系统拓扑结构图

    Figure  1.   Topology structure diagram of integrated energy system in parks based on P2G

    图  2   碳交易价格和碳超额率关系

    Figure  2.   Relationship between carbon trading price and carbon excess rate

    图  3   不同方案风机的消纳情况

    Figure  3.   Consumption of wind power in different schemes

    图  4   不同方案光伏的消纳情况

    Figure  4.   Consumption of photovoltaic power in different schemes

    图  5   方案一电能平衡图

    Figure  5.   Electric energy balance diagram in scheme 1

    图  6   方案二电能平衡图

    Figure  6.   Electric energy balance diagram in scheme 2

    图  7   方案三电能平衡图

    Figure  7.   Electric energy balance diagram in scheme 3

    图  8   方案一热能平衡图

    Figure  8.   Thermal energy balance diagram in scheme 1

    图  9   方案二热能平衡图

    Figure  9.   Thermal energy balance diagram in scheme 2

    图  10   方案三热能平衡图

    Figure  10.   Thermal energy balance diagram in scheme 3

    图  11   方案一气功率平衡图

    Figure  11.   Gas power balance diagram in scheme 1

    图  12   方案二气负荷功率平衡图

    Figure  12.   Gas power balance diagram in scheme 2

    图  13   方案三气功率平衡图

    Figure  13.   Gas power balance diagram in scheme 3

    图  14   方案二氢功率平衡图

    Figure  14.   Hydrogen power balance diagram in scheme 2

    图  15   方案三氢功率平衡图

    Figure  15.   Hydrogen power balance diagram in scheme 3

    图  16   碳交易基价分析

    Figure  16.   Analysis of carbon trading base price

    图  17   价格增长率分析

    Figure  17.   Analysis of price growth rate

    图  18   碳超额率分析

    Figure  18.   Analysis of carbon excess rate

    表  1   园区购电分时电价

    Table  1   Time-of-use electricity price in parks

    时段 购电价格/[元·(kWh)−1]
    17:00-19:00 1.30
    19:00-21:00,07:30-11:30 1.04
    05:00-7:30,11:30-17:00,21:00-22:00 0.71
    22:00-次日05:00 0.37
    下载: 导出CSV

    表  2   不同方案设置情况

    Table  2   Settings of different schemes

    方案设置 考虑电、
    热能耦合模型
    电/热储能 氢气
    甲烷化
    氢气甲烷化/
    氢氧燃料电池
    方案一 × ×
    方案二 ×
    方案三 ×
    下载: 导出CSV

    表  3   不同场景下的系统运行成本

    Table  3   System operating costs in different scenarios

    参数方案一方案二方案三
    总运行成本/元12 50810 96210 739
    购电成本/元2 2351 2141 186
    购气成本/元9 9219 6089 535
    弃风成本/元32413116
    弃光成本/元2892
    碳排放量/kg8 1518 3597 002
    下载: 导出CSV

    表  4   考虑碳交易机制前后运行对比

    Table  4   Operation comparison before and after considering the carbon trading mechanism

    参数方案四方案五
    总运行成本/元11 29911 558
    购电成本/元1 9171 858
    购气成本/元7 1627 249
    弃风成本/元128
    弃光成本/元00
    碳交易成本/元2 2082 443
    二氧化碳排放量/kg5 9905 395
    下载: 导出CSV
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出版历程
  • 收稿日期:  2024-06-30
  • 修回日期:  2024-08-01
  • 录用日期:  2024-08-04
  • 发布日期:  2024-10-09
  • 刊出日期:  2025-05-29

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