基于调优规则和惯性权重对数递减粒子群算法的蒸汽动力系统运行优化研究

发布时间：2018-01-17 22:03

本文关键词：基于调优规则和惯性权重对数递减粒子群算法的蒸汽动力系统运行优化研究　出处：《机械工程学报》2017年10期 　论文类型：期刊论文

【摘要】：蒸汽动力系统多周期运行燃料消耗量的计算方法通常先建立蒸发量与效率的关系模型,再由能量平衡方程得出。为简化计算,建立蒸发量和燃料量关系的双燃料锅炉数学模型。提出背压式、抽背式汽轮机调优规则:如果需要同时运行两台以上相同型号的汽轮机,则优先最大负荷运行数学模型斜率大的汽轮机,斜率相等则任意分配负荷。汽轮机调优规则扩展到燃料量和蒸发量呈线性关系的单燃料锅炉负荷分配:如果一次项系数相等,则蒸发量任意分配。否则,最大负荷运行斜率小的锅炉。针对粒子群算法收敛速度慢、早熟的缺点,提出惯性权重对数递减策略的粒子群算法。采用改进的粒子群算法对建立的蒸汽动力系统运行优化调度的混合整数非线性规划模型进行求解,节约了运行成本,验证了算法的有效性和实用性。
[Abstract]:The calculation method of fuel consumption of steam power system in multi-period operation usually establishes the model of the relationship between evaporation quantity and efficiency, and then obtains from the energy balance equation to simplify the calculation. The mathematical model of double-fuel boiler is established, and the optimization rule of back-pressure and back-to-back steam turbine is put forward: if two or more steam turbines of the same type need to be operated at the same time. Then the steam turbine with high slope in the mathematical model of maximum load operation is preferred. If the slope is equal, the load distribution is arbitrary. The optimization rule of steam turbine is extended to the load distribution of single fuel boiler with linear relationship between fuel and evaporation: if the coefficient of one term is equal, the evaporation is arbitrarily distributed. Otherwise. Boiler with small slope of maximum load operation. Aiming at the shortcomings of particle swarm optimization (PSO), such as slow convergence speed and premature convergence. The improved particle swarm optimization algorithm is used to solve the mixed integer nonlinear programming model for the optimal scheduling of steam power system, which saves the running cost. The validity and practicability of the algorithm are verified.
【作者单位】：辽宁工程技术大学机械工程学院;辽宁工程技术大学测绘与地理科学学院;辽宁工程技术大学矿业学院;
【基金】：国家自然科学基金资助项目(51574136,51504121)
【分类号】：TM621;TP18
【正文快照】： 0前言*石化企业热电厂蒸汽动力系统多周期运行优化调度问题是指在满足系统和外界蒸汽、动力等需求的前提下,考虑各种机组运行特性的约束条件,通过控制锅炉、汽轮机等单元机组的运行状态,调度它们间的负荷分配,使整个企业蒸汽动力系统在全周期内安全可靠运行且费用最低。由于能

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