蓄热器深度分析模型下热电联产电厂运行决策控制算法

V. Žentiņš, D. Rusovs, Aleksandrs Soročins, V. Kulakova
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摘要

准确的短期和长期生产计划对热电联产工厂非常重要。特别是如果热电联产机组在自由电力市场条件下运行,这将使决策过程变得复杂,因为额外的规划条件具有可变的热量,燃料和二氧化碳成本。另一方面,当热电联产厂使用蓄热系统时,不使用计算机系统就不可能做出生产决策;决策中的人为因素可能导致没有可追溯性的错误决策。现代计算机系统的作用越来越大,它极大地影响着热电联产厂的最佳生产计划过程,无论其装机容量和热积累的运行情况如何。研究解决的问题之一是将实际运行模式和工况(应用保温方案)集成到生产决策算法中。所开发的方法不仅可以规划热电联产厂的运行模式,还可以评估电池解决方案的效率。本研究显示了根据工作模式计算蓄热器热损失的发展方法,以及引入修正系数的必要性。在确定蓄热器运行方式成本模型的总影响费用时,显示其相互影响,并将其整合到次日自由市场条件的决策算法中。该算法的目标是最大限度地提高热电联产运营规划的总收益阈值,并排除可能造成损失的运营模式。
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Decision Making Control Algorithm for Cogeneration Plants in Operating with the Heat Accumulator Deep Analysis Model
Accurate production planning in both the short and long term is very important in cogeneration plants. Especially if the cogeneration unit operates under free electricity market conditions, which complicates the decision-making process as an additional planning condition with variable heat, fuel, and CO2 costs. On the other hand, when a cogeneration plant uses a heat accumulation system, it is impossible to make a production decision without using a computer system; the human factor in decision-making can lead to erroneous decisions without traceability. The role of modern computer systems is growing and greatly influences the optimal production planning process in cogeneration plants, regardless of the installed capacity and in the operation with heat accumulation. One of the problems solved by the research is the integration of real operating modes and conditions (applied thermal insulation solution) into the production decision algorithms. The developed methodology allows not only to plan the operating modes of the cogeneration plant, but also to evaluate the efficiency of the battery solution. This study shows the developed methodology for calculating heat loss for a heat accumulator depending on the operating mode and the need to introduce a correction coefficient. When determining the total influencing expenses of the cost model of the heat accumulator operation mode, their mutual influence is shown and integrated into the decision-making algorithm for the next day's free-market conditions. The aim of the algorithm is maximally increasing the total gross revenue threshold for the planning of cogeneration operations and to exclude operating modes that may cause losses.
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