直接空冷机组最佳背压计算方法及应用

Calculation Method for Optimum Back Pressure of Direct Air-cooling Unit and Its Application

分析了直接空冷机组运行中背压的主要影响因素,基于机组运行数据,采用支持向量机和粒子群算法建立了一个最佳背压计算模型,分析了背压与发电机功率和空冷风机耗功功率的关系.以某300 MW直接空冷机组为研究对象,利用所建模型计算得出不同负荷段内不同环境温度所对应的最佳背压;在DCS里设计背压优化调节方案,将最佳背压送入背压调节逻辑中参与控制.结果表明:直接空冷机组最佳背压随负荷和环境温度的升高而升高;最佳背压实际应用后,能够在保证机组安全平稳运行的前提下提高经济效益.

By analyzing the main factors that affect the back pressure of a direct air-cooling unit, and based on its historical data, a calculation model was set up for optimum back-pressure of the unit using support vector machine and particle swarm algorithm, so as to study the relations of back pressure with both the generator power and the power consumption of air-cooling fan. Taking a 300 MW direct air-cooling unit as the object of study, the optimum back pressure corresponding to different loads and ambient temperatures was calculated with the model, while a scheme for optimization of the back pressure was designed in DCS, and the optimized back pressure was then put into the adjusting logic of back pressure to regulate the controller. Results show that the optimum back pressure of direct air-cooling unit increases with the rise of load and ambient temperature. The application of optimum back pressure can help to increase the unit economy under the premise of ensuring safe and stable operation of the unit.