基于网格寻优算法的城市区域多热源供热系统运行优化研究

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基于网格寻优算法的城市区域多热源供热系统运行优化研究

于红伟¹，许道春¹，刘延太¹，李建军¹，涂垚杰²，张燕平^2*

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

基金资助:
国家重点研发计划项目(2022YFB4100703)

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

YU Hongwei¹, XU Daochun¹, LIU Yantai¹, LI Jianjun¹, TU Yaojie², ZHANG Yanping^2*

1.State Power Investment Corporation Jingmen Green Power Energy Co., Ltd., Jingmen 448000, Hubei Province, China; 2.School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province, China

Supported by:
Project Supported by National Key R&D Program of China (2022YFB4100703).

摘要/Abstract

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。

关键词: 供热系统, 网格寻优, 多热源供热, 热负荷分配, 仿真建模, 运行优化

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.

Key words: heating system, grid search optimization, multi-heat-source heating, heating load distribution, simulation modeling, operation optimization

于红伟, 许道春, 刘延太, 李建军, 涂垚杰, 张燕平. 基于网格寻优算法的城市区域多热源供热系统运行优化研究[J]. 发电技术.

YU Hongwei, XU Daochun, LIU Yantai, LI Jianjun, TU Yaojie, ZHANG Yanping. Research on Operation Optimization of Urban Multi-Heat-Source Heating Systems Based on Grid Search Optimization Algorithm[J]. Power Generation Technology.

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