考虑热惯性和用热舒适度及热损耗不确定性的电热联合调度

张大发; 黄婧杰; 李金成; 周任军; 高兵

doi:10.19725/j.cnki.1007-2322.2023.0337

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考虑热惯性和用热舒适度及热损耗不确定性的电热联合调度

能源互联网 | 更新时间：2025-10-22

- 考虑热惯性和用热舒适度及热损耗不确定性的电热联合调度
- Electro-thermal Joint Scheduling Considering Thermal Inertia, Thermal Comfort Level and Thermal Loss Uncertainty
- 现代电力 2025年42卷第5期页码：969-977
- 作者机构：
  
  1. 湖南省清洁能源与智能电网协同创新中心(长沙理工大学),湖南省,长沙市,410114
  2. 国网湘西供电公司变电检修公司, 湖南省吉首市,416000
- 作者简介：
  
  [ "张大发(1998)，男，硕士研究生，研究方向为电力系统运行与控制，E-mail：1743060783@qq.com" ]
  [ "黄婧杰(1990)，女，博士，讲师，通信作者，研究方向为电力系统运行与控制，E-mail：jingjie.huang@outlook.com" ]
  [ "李金成(1999)，男，硕士，研究方向为电力系统运行与控制，E-mail：286409318@qq.com" ]
  [ "周任军(1964)，女，博士，教授，研究方向为电力系统运行与控制，E-mail：zrj0731@163.com" ]
  [ "高兵(1998)，男，硕士研究生，研究方向为新能源电力系统优化调度，E-mail：1596194069@qq.com" ]
- 基金信息：
  
  国家自然科学基金项目 (52077009, 52307078);湖南省自然科学基金项目(2022JJ40478)。
- DOI：10.19725/j.cnki.1007-2322.2023.0337
  中图分类号： 5
- 纸质出版：2025
- 稿件说明：
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张大发, 黄婧杰, 李金成, 等. 考虑热惯性和用热舒适度及热损耗不确定性的电热联合调度[J]. 现代电力, 2025,42(5):969-977.

ZHANG Dafa, HUANG Jingjie, LI Jincheng, et al. Electro-thermal Joint Scheduling Considering Thermal Inertia, Thermal Comfort Level and Thermal Loss Uncertainty[J]. 2025, 42(5): 969-977.
张大发, 黄婧杰, 李金成, 等. 考虑热惯性和用热舒适度及热损耗不确定性的电热联合调度[J]. 现代电力, 2025,42(5):969-977. DOI： 10.19725/j.cnki.1007-2322.2023.0337.

ZHANG Dafa, HUANG Jingjie, LI Jincheng, et al. Electro-thermal Joint Scheduling Considering Thermal Inertia, Thermal Comfort Level and Thermal Loss Uncertainty[J]. 2025, 42(5): 969-977. DOI： 10.19725/j.cnki.1007-2322.2023.0337.

摘要

针对传统热电联产调度中电热耦合以及电、热负荷均实时平衡所导致的弃风问题，挖掘在热网侧和热负荷侧的调节潜力成为解决问题的重要思路。在热网侧，为了精细化热能传输过程，考虑含热损耗和热延迟的热惯性；在热负荷侧，为了确定供热温度的范围，引入平均热感觉指标(predicted mean vote，PMV)表征用热舒适度。建立含热惯性和用热舒适度的电热联合系统优化调度模型，模型中考虑用热舒适度与供热温度范围相关，将传统实时热平衡等式约束转化为含热惯性和用热舒适度的热力系统不等式约束。因热损耗受温度随机性的影响具有不确定性，采用信息间隙决策理论(information gap decision theory，IGDT)将电热联合系统优化调度模型变换为其随机优化模型。仿真结果表明：综合考虑热惯性和热负荷的用热舒适度，可在风电波动过大或调峰压力过大的情况下，提高风电消纳率；IGDT方法所得调度方案对热损耗波动具有较强的鲁棒性。

Abstract

To address the issues of wind curtailment caused by electro-thermal coupling and real-time balancing of both electricity and thermal loads in traditional cogeneration scheduling

it is imperative to explore the regulation potentials on both the heat-supply network and the thermal load sides. In order to refine the thermal transmission process on the heat-supply network side

the thermal inertia with thermal loss and thermal delay is considered; while on the thermal-load side

we introduce the predicted mean vote (PMV) as a measure of thermal comfort level to determine the range of heat supply temperature. An optimal scheduling model of electro-thermal joint system is established with thermal inertia and thermal comfort level taken into account. The model considers the correlation between thermal comfort level and heat-supply temperature range

and the traditional real-time thermal equilibrium equation constraint is transformed into the thermal system inequality constraint of thermal inertia and thermal comfort level by incorporating the correlation between thermal comfort level and heat-supply temperature range. Due to the uncertainty of thermal loss caused by temperature randomness

the information gap decision theory (IGDT) is employed to transform the optimal scheduling model of the combined electro-thermal system into a stochastic optimization model. The simulation results demonstrate that the comprehensive consideration of thermal inertia and thermal comfort level of thermal load can improve the wind power consumption rate in scenarios with excessive wind power fluctuation or peak pressure. Additionally

the scheduling scheme obtained by the IGDT method has strong robustness to heat loss fluctuations.

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references

LI C Y, YAO Y M, ZHAO C Y, et al. Multi-objective day-ahead scheduling of power market integrated with wind power producers considering heat and electricity trading and demand response programs[J]. IEEE Access, 2019(7): 181213−181226.

WU C Y, GU W, JIANG P, et al. Combined economic dispatch considering the time-delay of district heating network and multi-regional indoor temperature control[J]. IEEE Transactions on Sustainable Energy, 2018, 9(1): 118−127.

CHEN X, KANG C, O’MALLEY M, et al. Increasing the flexibility of combined heat and power for wind power integration in China: modeling and implications[J]. IEEE Transactions on Power Systems, 2015, 30(4): 1848−1857.

SUN Peng, TENG Yun, HUI Qian, et al. Two-stage robust optimal dispatch model for multi-energy system considering thermal inertia uncertainty[J]. Proceedings of the CSEE, 2021, 41(21): 7249−7261(in Chinese).

孙鹏, 滕云, 回茜, 等. 考虑热惯性不确定性的多能源系统两阶段鲁棒优化调度模型[J]. 中国电机工程学报, 2021, 41(21): 7249−7261.

LI Xue, LI Wenming, ZHANG Rufeng, et al. Collaborative scheduling and flexibility assessment of integrated electricity and district heating systems utilizing thermal inertia of district heating network and aggregated buildings[J]. Applied Energy, 2020, 258: 114021−114040.

LI Z, WU W, SHAHIDEHPOUR M, et al. Combined heat and power dispatch considering pipeline energy storage of district heating network[J]. IEEE Transactions on Sustainable Energy, 2015, 7(1): 12−22.

SHI Zhe, JIN Yufei, WANG Yong, et al. Research on optimal operation of electric heating regional integrated energy system based on user comfort zone constraint[J]. Power System Protection and Control, 2022, 50(20): 168−177(in Chinese).

史喆, 金宇飞, 王勇, 等. 基于用户舒适度区间约束的电热区域综合能源系统优化运行研究[J]. 电力系统保护与控制, 2022, 50(20): 168−177.

ZOU Yunyang, YANG Li, FENG Li, et al. Coordinated dispatch of microgrid thermopower considering two-dimensional controllability of heat load[J]. Automation of Electric Power Systems, 2017, 41(06): 13−19(in Chinese).

邹云阳, 杨莉, 冯丽, 等. 考虑热负荷二维可控性的微网热电协调调度[J]. 电力系统自动化, 2017, 41(06): 13−19.

YU Xuefei, ZHANG Shuai, LIU Linlin, et al. Dispatch of carbon capture power plant based on information gap decision theory[J]. Journal of Tsinghua University, 2022, 62(09): 1467−1473(in Chinese).

于雪菲, 张帅, 刘琳琳, 等. 基于信息间隙决策理论的碳捕集电厂调度[J]. 清华大学学报, 2022, 62(09): 1467−1473.

PENG Chunhua, ZHENG Cong, CHEN Jing, et al. Robust optimal dispatch of integrated energy system based on confidence gap decision[J]. Proceedings of the CSEE, 2021, 41(16): 5593−5604(in Chinese).

彭春华, 郑聪, 陈婧, 等. 基于置信间隙决策的综合能源系统鲁棒优化调度[J]. 中国电机工程学报, 2021, 41(16): 5593−5604.

ZHU Xiaorong, XIE Wanying. Multi-microgrid dispatching strategy considering heating inertia in heating area[J]. Modern Electric Power, 2020, 37(06): 566−574(in Chinese).

朱晓荣, 谢婉莹. 计及供热区域热惯性的多微网调度策略[J]. 现代电力, 2020, 37(06): 566−574.

YI Zhongkai, LI Zhimin. Thermoelectric joint dispatching strategy considering heat storage in heat network and heat inertia in heating area[J]. Power System Technology, 2018, 42(05): 1378−1384(in Chinese).

仪忠凯, 李志民. 计及热网储热和供热区域热惯性的热电联合调度策略[J]. 电网技术, 2018, 42(05): 1378−1384.

WU Shuning, LI Huaqiang, LIU Yang, et al. Multi-objective optimal dispatch of regional integrated energy system considering refined modeling of heating system[J]. Power System Technology, 2023, 47(5): 1979−1992(in Chinese).

武姝凝, 李华强, 刘洋, 等. 考虑供热系统精细化建模的区域综合能源系统多目标优化调度[J]. 电网技术, 2023, 47(5): 1979−1992.

ZHANG Shuai, LIU Wenxia, ZHANG Yiwei, et al. Reliability assessment of regional integrated energy systems taking into account multiple thermal inertia characteristics[J]. Transactions of China Electrotechnical Society, 2023, 38(12): 3289−3305(in Chinese).

张帅, 刘文霞, 张艺伟, 等. 计及多重热惯性特征的区域综合能源系统可靠性评估[J]. 电工技术学报, 2023, 38(12): 3289−3305.

JIANG Yuechun, ZENG Chengyu, HAO Jiajia, et al. Comprehensive energy collaborative optimization dispatch considering human comfort and flexible load[J]. Electric Power Automation Equipment, 2019, 39(08): 254−260(in Chinese).

江岳春, 曾诚玉, 郇嘉嘉, 等. 计及人体舒适度和柔性负荷的综合能源协同优化调度[J]. 电力自动化设备, 2019, 39(08): 254−260.

UNE-EN ISO 7730: 2005. 热环境的人类工效学使用PMV和PPD指数的计算和局部热舒适性标准对热舒适性的分析测定和解释[S]. 布鲁塞尔: 欧盟标准, 2006.

LIU X, HOU M, SUN S, et al. Multi-time scale optimal scheduling of integrated electricity and district heating systems considering thermal comfort of users: An enhanced-interval optimization method[J]. Energy, 2022, 254: 124311−124326.

QIN Zikai, HUANG Jingjie, ZHOU Renjun, et al. Multi-objective robust optimal dispatch of virtual power plant considering source-load uncertainty[J]. Proceedings of the CSU-EPSA, 2023, 35(06): 13−21(in Chinese).

秦子恺, 黄婧杰, 周任军, 等. 计及源-荷不确定性的虚拟电厂多目标鲁棒优化调度[J]. 电力系统及其自动化学报, 2023, 35(06): 13−21.

WANG Mingjun, MU Yunfei, MENG Xianjun, et al. Optimal scheduling method of electric-thermal integrated energy system considering dynamic characteristics of thermal energy transport[J]. Power System Technology, 2020, 44(01): 132−142(in Chinese).

王明军, 穆云飞, 孟宪君, 等. 考虑热能输运动态特性的电–热综合能源系统优化调度方法[J]. 电网技术, 2020, 44(01): 132−142.

QU Xiaoyun, KOU Lingfeng, WU Ming, et al. Rolling dispatching method of gas-electricity coupling distribution network based on information gap decision theory[J]. Modern Electric Power, 2022, 39(02): 193−204(in Chinese).

屈小云, 寇凌峰, 吴鸣, 等. 基于信息间隙决策理论的气-电耦合配网滚动调度方法[J]. 现代电力, 2022, 39(02): 193−204.

LI Dongdong, YOU Yang, ZHOU Bo. Optimal decision-making of electricity sales companies participating in multiple markets based on information gap decision theory[J]. Power System Technology, 2022, 46(12): 4778−4790(in Chinese).

李东东, 尤杨, 周波. 基于信息间隙决策理论的售电公司参与多市场的优化决策[J]. 电网技术, 2022, 46(12): 4778−4790.

XING Xiaomin, ZHANG Mingyang, YANG Xiuyu, et al. Optimal operation of electrothermal combined system considering user dynamic response under the thermal inertia characteristics of grid load side[J]. Power System Technology, 2024, 48(3): 1062−1076(in Chinese).

邢晓敏, 张明洋, 杨修宇, 等. 计及网荷侧热惯性特征下用户动态响应的电热联合系统优化运行[J]. 电网技术, 2024, 48(3): 1062−1076.

SUN Peng, TENG Yun, LENG Ouyang, et al. Coordinated optimization of electrothermal combined system considering multiple thermal inertia of heating system[J]. Proceedings of the CSEE, 2020, 40(19): 6059−6071(in Chinese).

孙鹏, 滕云, 冷欧阳, 等. 考虑供热系统多重热惯性的电热联合系统协调优化[J]. 中国电机工程学报, 2020, 40(19): 6059−6071.

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