Load distribution optimization for combined heat and power units based on synergy of heat load and heat source

LI Jie; HU Yong; ZHANG Yushan; DENG Dan; LIANG Lu; ZENG Deliang; LIU Jizhen

doi:10.19666/j.rlfd.202405136

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Load distribution optimization for combined heat and power units based on synergy of heat load and heat source

更新时间：2025-09-28

- Load distribution optimization for combined heat and power units based on synergy of heat load and heat source
- Thermal Power Generation Vol. 54, Issue 1, Pages: 46-55(2025)
- 作者机构：
  
  1. 华北电力大学新能源电力系统全国重点实验室
  2. 华北电力大学控制与计算机工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202405136
  CLC： TP18;TU995;TM621
- Published：2025
- 稿件说明：
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LI Jie, HU Yong, ZHANG Yushan, et al. Load distribution optimization for combined heat and power units based on synergy of heat load and heat source[J]. Thermal power generation, 2025, 54(1): 46-55.
DOI：

LI Jie, HU Yong, ZHANG Yushan, et al. Load distribution optimization for combined heat and power units based on synergy of heat load and heat source[J]. Thermal power generation, 2025, 54(1): 46-55. DOI： 10.19666/j.rlfd.202405136.

摘要

热电厂传统供热方式能源利用效率低，为深度挖掘热电联产机组节能潜力，提出一种综合考虑热负荷侧和热源侧的热电联产机组源荷协同负荷优化分配模型。在负荷侧考虑气象扰动建立了修正的室外温度-热负荷预测模型，热源侧建立了热电联产机组能效变工况模型；以全部供热机组发电煤耗率最低为目标构建源-荷协同的多机组优化调度模型；最后在由6台热电联产机组和2组加热器组成的热网供热场景开展仿真验证。仿真结果表明，基于热负荷预测值的源荷协同热电联产机组负荷优化分配方法可以有效降低供热期内机组总煤耗量，相比传统分配方法，典型尖峰供暖期1天内热电厂煤耗量可以减少214.56t。所提负荷优化分配方法有助于提高热电厂运行经济性，具有一定实际应用价值。

Abstract

The conventional heating method in thermal power plants has low energy utilization efficiency. To deeply explore the energy-saving potential of cogeneration units

a source load coordination load optimization allocation model for cogeneration units is proposed

which comprehensively considers the heat load side and heat source side. A modified outdoor temperature-heat load prediction model is established considering meteorological disturbances on the load side

and an energy efficiency variation model for cogeneration units is established on the heat source side. An optimal scheduling model considering source-load coordination is constructed with the goal of minimizing the coal consumption rate of all heating units. Finally

simulation experiment is carried out based on the heat network composed of six units and two heaters. The results show that

the load optimization distribution method considering source-load coordination based on the predicted value of heat load can effectively reduce the total coal consumption of the units during the heating period. Compared with the conventional distribution method

the coal consumption of the thermal power plant can be reduced by 214.56 tons in one day during the typical peak heating period

which is helpful to improve the operation economy of the thermal power plant. This load optimization distribution method has certain practical application value.

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