350MW超临界机组深度调峰下协调控制系统优化

为提高电网消纳清洁能源的能力,火电机组的调峰宽度需要进一步提高,因此越来越多的超临界机组参与到深度调峰中,但在低负荷下机组的主蒸汽温度、压力等参数不稳定会对机组运行的安全性带来更大的风险,同时如何在低负荷运行时提高运行的经济性,也是超临界机组参与深度调峰的一个重要影响因素。因此针对超临界机组深度调峰的安全性和经济性的问题,提出了一种基于多目标粒子群的协调优化控制方案,并在本溪热电#2机组进行应用,较好地适应了机组在低负荷下的运行工况,对同类型机组有较高的推广价值。

In order to improve the power grid's ability to absorb clean energy,the peak shaving width of thermal power units needs to be further increased.Therefore,more and more supercritical units are involved in deep peak shaving,but the main steam temperature and pressure of the units under low load are parameters Instability will bring greater risks to the safety of unit operation.At the same time,how to improve the economy of operation during low-load operation is also an important factor in the participation of supercritical units in deep peak shaving.Therefore,in view of the safety and economy of deep peak shaving of supercritical units,a coordinated and optimized control scheme based on multi-objective particle swarms is proposed and applied in Benxi Thermal Power#2 unit,which better adapted to the unit's current situation in this paper.Operating conditions under low load have greater promotion value for the same type of units.