钢铁企业热电系统多能流网络多工况优化调度

Multi-condition optimization scheduling of thermoelectric system in iron and steel enterprises based on multi-energy flow network

中文关键词  多能流网络  优化调度  多工况  钢铁企业热电系统  平衡控制

英文关键词  multi-energy flow network  scheduling optimization  multiple modes  thermoelectric system for iron and steel enterprises  balance control

中文摘要

      钢铁企业热电系统是典型的耗能大户, 合理有效的能源调度对提高企业能源利用效率、低碳发展、实现碳 中和目标具有重要意义. 考虑热电系统涉及的多种能源介质相互关联和耦合, 产耗量随生产计划以及主工序设备运 行状态的改变动态变化等特征, 提出一种基于多能流网络的多工况优化调度模型. 首先, 针对热电系统能源利用过 程中的多工况特征, 提出基于多维隐马尔可夫–动态时间弯曲混合模型的工况识别方法, 并基于能源介质产生、消 耗、转换的能量流路径分析, 建立热电系统多能流网络模型, 将不同能源介质的需求量等价为对蒸汽、电力和副产 煤气的需求量. 其次, 综合分析能源介质动态平衡约束、设备产耗能约束、多能源消耗约束, 建立热电系统多目标优 化调度模型, 并得出能源介质调度方案. 通过钢铁企业实际生产数据实验表明, 本文方法能够有效保证系统安全运 行、减少系统外购煤的消耗量、增加系统自身发电量、降低运行成本、降低碳排放.

英文摘要

      The thermoelectric system in iron and steel enterprises is a typical large energy consumer. Its reasonable and effective energy dispatch is of great significance to improve the energy utilization efficiency, low-carbon development and achieve the goal of carbon neutrality. Considering that the thermoelectric system involves the interrelation and coupling of multiple energy media, and the production and the consumption change dynamically with the production plan and the running state of the main process equipment, a multi-working condition optimization scheduling model based on multi-energy flow network was proposed. Firstly, according to the multi-working condition characteristics in the energy utilization process of thermoelectric system, a working condition identification method based on the multi-dimensional hidden Markov - dynamic time bending hybrid model was proposed. And a multi-energy flow network model of thermoelectric system was established based on the energy flow path analysis of the generation, consumption and conversion of energy medium. And the demand of multi-energy is converted to the demand of steam, electricity and by-product gas. Secondly, comprehensively analyzing the dynamic balance constraints of energy, energy production and consumption constraints of equipment, and multi-energy consumption constraints, the multi-objective optimal scheduling model of thermoelectric system was established to obtain the scheduling scheme of energy. Experiment results on practical production data introduced from iron and steel enterprises show that the proposed method could effectively ensure the safe operation of the system, reduce the consumption of coal purchased, increase the power generation, and reduce production cost and carbon emissions.