Research on Operation Optimization of Urban Multi-Heat-Source Heating Systems Based on Grid Search Optimization Algorithm

YU Hongwei; XU Daochun; LIU Yantai; LI Jianjun; TU Yaojie; ZHANG Yanping

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Research on Operation Optimization of Urban Multi-Heat-Source Heating Systems Based on Grid Search Optimization Algorithm

更新时间：2026-06-01

- Research on Operation Optimization of Urban Multi-Heat-Source Heating Systems Based on Grid Search Optimization Algorithm
- (2026)
- 作者机构：
  
  1. 国家电投荆门绿动能源有限公司,湖北省,荆门市,448000
  2. 华中科技大学能源与动力工程学院,湖北省,武汉市,430074
- 作者简介：
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YU Hongwei, XU Daochun, LIU Yantai, et al. Research on Operation Optimization of Urban Multi-Heat-Source Heating Systems Based on Grid Search Optimization Algorithm[J/OL]. 2026.
DOI：

YU Hongwei, XU Daochun, LIU Yantai, et al. Research on Operation Optimization of Urban Multi-Heat-Source Heating Systems Based on Grid Search Optimization Algorithm[J/OL]. 2026. DOI：

摘要

【目的】区域内多热源构成的供热系统运行涉及供热负荷分配问题，不同的热负荷分配带来的收益不同，为此，需要根据用户的供热需求对供热系统的热负荷进行优化，从而实现收益最大化。【方法】针对某供热企业多热源供热系统的供热负荷分配优化问题，建立了燃煤锅炉背压供热机组仿真模型，获得了该设备的热电特性与能耗特性。在此基础上，以供热企业的经济收益最大化为优化目标，建立了基于网格寻优算法的供热负荷优化模型，并利用该模型对供热系统的负荷分配进行了优化。【结果】相较于常规运行方案，优化后的供热方案全年经济收益提升约265万元，燃料利用系数最高可提升4.63%。【结论】网格寻优算法能实现对多热源供热系统的供热方案进行快速优化，为区域内机组运行提供指导方案。

Abstract

[Objectives]　The operation of a heating system composed of multiple heat sources within a certain region involves heating load distribution

and different heat load distribution schemes lead to different revenues. Therefore

it is necessary to optimize the heating load of the heating system according to heating demands of users in order to maximize the overall revenue. [Methods]　Given the heat load distribution optimization problems in a multi-heat-source heating system of a heat-supply enterprise

a simulation model of a coal-fired boiler back-pressure heating unit is established to determine the thermoelectric characteristics and energy consumption characteristics of the equipment. On this basis

with the objective of maximizing the economic revenue of the heat-supply enterprise

a heating load optimization model is developed based on grid search optimization algorithm

and this model is adopted to optimize the load distribution of the heating system. [Results]　Compared with the conventional operation scheme

the optimized heating scheme increased the annual revenue by approximately 2.65 million yuan

with a maximum increase of 4.63% in the fuel utilization coefficient. [Conclusions]　The grid search optimization algorithm can achieve rapid optimization of heating schemes for multi-heat-source heating systems

thereby providing guidance for the operation of units within the region.

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