基于改进粒子群算法的汽轮机初、终参数优化算法

在确保机组安全运行的条件下,通过优化汽轮机初、终参数,提高其变工况运行的效率,以提高机组的经济效益,对火电机组节能减排具有非常重要的意义.通过运用功率背压特性的通用计算方法确定排汽压力对汽轮机功率的修正曲线,从而得到各负荷工况下循环水泵相邻运行方式的等效益点,进而获得等效益曲线.在循环水泵运行优化的基础上,结合逆序法变工况理论,建立了机组初压和背压的优化模型,以某厂C300-16.7/0.43/537/537机组为例,运用改进粒子群优化算法寻优得到了各运行工况的最优初压和背压.结果表明：当机组定负荷运行时,通过调整配汽方式,可得到使供电效率最大所对应的主蒸汽压力和排汽压力,为火电机组的运行参数优化提供参考.

Optimization Calculation of Initial and Final Parameters in Turbine Based on Improved Particle Swarm Optimization

Under the condition of safe operation, the efficiency of unit under variable operation condition and its economic benefit can be increased through the optimization of turbine＇ s initial and final parameters, which has very important significance to energy conservation and emissions reduction of thermal power units. The universal calculation method of power and back pressure characteristics was used to determine the corrective curve between turbine power and exhaust pressure, then the equal efficiency points between adjacent operating modes of circulating water pumps under each load condition was determined, and the equal efficiency curves was obtained. Based on the operation optimization of circulating pump, the optimization model of unit＇ s initial pressure and back pressure was established, combined with reverse method of variable condition theory. Taking C300 -16.7/0.43/537/537 unit in a power plant as example, the optimal initial and back pressure under different operation conditions were obtained by using improved particle swarm optimization. The results show that the main steam pressure and exhaust pressure at the maximum power supply efficiency can be obtained by adjusting steam distribution mode under certain load operation of unit, which can provide reference for the operation parameters optimization of thermal power unit.