EN考虑两阶段P2G-CCS耦合和源-荷协同优化的电-热-气-氢-储综合能源系统低碳运行研究
考虑两阶段P2G-CCS耦合和源-荷协同优化的电-热-气-氢-储综合能源系统低碳运行研究
- 太阳能学报 2025年第10期 页码：390-402
- 作者机构：
- 作者简介：
- 基金信息：国家自然科学基金面上项目（52476009）;中央高校基本科研业务费专项资金（2025MS024）
DOI：doi:10.19912/j.0254-0096.tynxb.2024-0927
中图分类号： K513-
网络出版：2025-10-31，
纸质出版：2025-10-31
- 稿件说明：
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邓丹, 吕游, 时一钧, 等. 考虑两阶段P2G-CCS耦合和源-荷协同优化的电-热-气-氢-储综合能源系统低碳运行研究[J]. 太阳能学报, 2025,(10):390-402.
邓丹, 吕游, 时一钧, et al. 考虑两阶段P2G-CCS耦合和源-荷协同优化的电-热-气-氢-储综合能源系统低碳运行研究[J]. 2025, (10): 390-402.
邓丹, 吕游, 时一钧, 等. 考虑两阶段P2G-CCS耦合和源-荷协同优化的电-热-气-氢-储综合能源系统低碳运行研究[J]. 太阳能学报, 2025,(10):390-402. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0927.
邓丹, 吕游, 时一钧, et al. 考虑两阶段P2G-CCS耦合和源-荷协同优化的电-热-气-氢-储综合能源系统低碳运行研究[J]. 2025, (10): 390-402. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0927.
摘要
为解决多种能源下源侧能量供给耦合转换和荷侧用能需求转移替代的协同优化问题
该文在阶梯碳交易机制和多能需求响应条件下提出电-热-气-氢-储系统源-荷协同优化调度模型。首先
源侧基于能量流模型构建灵活响应机制
设计热电比可调的氢能联产系统
通过电-氢-气多阶段转化实现分层能量优化
提升多能协同效率;其次
荷侧考虑柔性负荷特性
在阶梯碳交易机制下建立时空二维多能需求响应模型。最后
基于Frank-SJC-Copula处理不确定性后得到新能源出力及多能负荷曲线
以系统总运行成本最低为目标建立日前调度模型
在分时电价与气价基础上通过算例验证多场景、多能源配置下调度可行性
结果表明该文所提电-热-气-氢-储协同优化模型可有效优化系统低碳性与经济性并促进新能源消纳。
Abstract
To solve the collaborative optimization problem of source-side energy supply coupling conversion and load-side energy demand transfer substitution under various energy sources
this paper proposes a source-load collaborative optimal scheduling model for an electricity-heat-gas-hydrogen-storage system under a tiered carbon trading mechanism and multi-energy demand response conditions. Firstly
based on the energy flow model
a flexible response model is proposed on the source side
constructing a hydrogen-mixed combined heat and power unit model with an adjustable heat-to-power ratio
and utilizing a two-stage power-to-gas process for dual-layer energy optimization. Secondly
on the load side
considering the characteristics of flexible loads
a spatio-temporal two-dimensional multi-energy demand response model is established under a tiered carbon trading mechanism. Finally
by handling uncertainties using the Frank-SJC-Copula
renewable energy output and multi-energy load forecasting curves are obtained. A day-ahead scheduling model is established with the objective of minimizing the total operating cost of the system
and the feasibility of scheduling under multiple scenarios and multi-energy configurations is verified through case studies based on time-of-use electricity and gas prices. The results show that the proposed electricity-heat-gas-hydrogen-storage collaborative optimization model can effectively optimize the system’s low-carbon and economic performance and reduce wind and solar curtailment.
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references
王永真, 张宁, 关永刚, 等. 当前能源互联网与智能电网研究选题的继承与拓展[J]. 电力系统自动化, 2020, 44(4): 1-7.
王永真, 康利改, 张靖, 等. 综合能源系统的发展历程、典型形态及未来趋势[J]. 太阳能学报, 2021, 42(8): 84-95.
WANG L Y, LIN J L, DONG H Q, et al.Demand response comprehensive incentive mechanism-based multi-time scale optimization scheduling for park integrated energy system[J]. Energy, 2023, 270: 126893.
刘吉臻. 支撑新型电力系统建设的电力智能化发展路径[J]. 能源科技, 2022, 20(4): 3-7.
张红昌, 薛小军, 徐钢, 等. 热电联产机组热电解耦改造方案的调峰特性及能耗分析[J]. 动力工程学报, 2023, 43(10): 1382-1390.
张艺晨, 杨勇平, 戈志华, 等. 基于能量梯级利用的高效灵活供热系统性能研究[J]. 动力工程学报, 2023, 43(8): 1085-1094.
蒋超凡, 艾欣. 计及多能耦合机组不确定性的综合能源系统运行优化模型研究[J]. 电网技术, 2019, 43(8): 2843-2854.
ZHANG X, ZHANG Y M, JI X Q, et al.Unit commitment of integrated energy system considering conditional value-at-risk and P2G[J]. Electric power systems research, 2023, 221: 109398.
CHEN J J, QI B X, RONG Z K, et al.Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement[J]. Energy, 2021, 217: 119387.
ZHOU Y F, HU W, MIN Y, et al.Integrated power and heat dispatch considering available reserve of combined heat and power units[J]. IEEE transactions on sustainable energy, 2019, 10(3): 1300-1310.
喻鑫, 胡志坚, 陈锦鹏, 等. 阶梯碳下考虑P2G-CCS与供需灵活响应的IES优化调度[J]. 武大学学报(工学版), 2024, 57(10): 1360-1371.
李兴国, 任永峰, 孟庆天, 等. 考虑可控负荷的含CSP和P2G的综合能源系统优化调度[J]. 太阳能学报, 2023, 44(12): 552-559.
ZHANG X P, ZHANG Y Z.Environment-friendly and economical scheduling optimization for integrated energy system considering power-to-gas technology and carbon capture power plant[J]. Journal of cleaner production, 2020, 276: 123348.
LUO Z, WANG J H, XIAO N, et al.Low carbon economic dispatch optimization of regional integrated energy systems considering heating network and P2G[J]. Energies, 2022, 15(15): 5494.
YU W A N G, KE L I, SHUZHEN L I, et al. A bi-level scheduling strategy for integrated energy systems considering integrated demand response and energy storage co-optimization[J]. Journal of energy storage, 2023, 66: 107508.
HE S J, GAO H J, WANG L F, et al.Distributionally robust planning for integrated energy systems incorporating electric-thermal demand response[J]. Energy, 2020, 213: 118783.
陈锦鹏, 胡志坚, 陈嘉滨, 等. 考虑阶梯式碳交易与供需灵活双响应的综合能源系统优化调度[J]. 高电压技术, 2021, 47(9): 3094-3106.
GUO Z H, ZHANG R, WANG L, et al.Optimal operation of regional integrated energy system considering demand response[J]. Applied thermal engineering, 2021, 191: 116860.
李亚峰, 王维庆, 寇洋, 等. 考虑绿证-碳联合交易与需求响应综合能源系统经济运行[J]. 太阳能学报, 2023, 44(11): 538-546.
李虹, 林兰心, 赵小军. 基于需求侧用户响应分析的电-气-热综合能源系统低碳经济调度[J]. 太阳能学报, 2023, 44(5): 97-105.
陈志, 胡志坚, 翁菖宏, 等. 基于阶梯碳交易机制的园区综合能源系统多阶段规划[J]. 电力自动化设备, 2021, 41(9): 148-155.
赵继超, 袁越, 傅质馨, 等. 基于Copula理论的风光互补发电系统可靠性评估[J]. 电力自动化设备, 2013, 33(1): 124-129.
GAO J W, MENG Q C, LIU J T, et al.Thermoelectric optimization of integrated energy system considering wind-photovoltaic uncertainty, two-stage power-to-gas and ladder-type carbon trading[J]. Renewable energy, 2024, 221: 119806.
LYU Y, SHI Y J, LI Z Y, et al.Short-term load forecasting method of IES based on RLA neural network with dual signal processing[J]. Energy and buildings, 2024, 309: 114074.
张新鹤, 黄伟, 刘铠诚, 等. 基于综合需求响应的气-电联合分时定价优化模型[J]. 电力系统及其自动化学报, 2019, 31(4): 91-98.
赵海彭, 苗世洪, 李超, 等. 考虑冷热电需求耦合响应特性的园区综合能源系统优化运行策略研究[J]. 中国电机工程学报, 2022, 42(2): 573-589.
邱彬, 杨瑞雪, 王凯, 等. 考虑源-荷灵活协调响应的综合能源系统两阶段鲁棒优化[J]. 电力系统及其自动化学报, 2025, 37(1): 43-53, 63.
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