Electro-thermal Joint Scheduling Considering Thermal Inertia, Thermal Comfort Level and Thermal Loss Uncertainty

ZHANG Dafa; HUANG Jingjie; LI Jincheng; ZHOU Renjun; GAO Bing

doi:10.19725/j.cnki.1007-2322.2023.0337

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Electro-thermal Joint Scheduling Considering Thermal Inertia, Thermal Comfort Level and Thermal Loss Uncertainty

更新时间：2025-10-22

- Electro-thermal Joint Scheduling Considering Thermal Inertia, Thermal Comfort Level and Thermal Loss Uncertainty
- Vol. 42, Issue 5, Pages: 969-977(2025)
- 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：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0337
  CLC： 5
- Published：2025
- 稿件说明：
移动端阅览
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：

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

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