Purpose

This paper deals with the optimization of coal handling system performability for a thermal power plant.

Design/methodology/approach

Coal handling system comprises of five subsystems, namely Wagon Tippler, Crusher, Bunker, Feeder and Coal Mill. The partial differential equations are derived on the behalf of transition diagram by using the Markov approach. These partial differential equations are further solved to obtain the performance model with the help of normalization condition. Numerous performability levels are achieved by putting the appropriate combinations of failure and repair rates (FRRs) in performance model. Performability optimization for coal handling system is obtained by varying the population and generation size.

Findings

Highest performability level, that is, 93.33 at population size of 40 and 93.31 at generation size of 70, is observed.

Originality/value

The findings of this paper highlight the optimum value of performability level and FRRs for numerous subsystems. These findings are highly beneficial for plant administration to decide about the maintenance planning.

中文翻译：

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使用PSO算法优化火力发电厂输煤系统的性能

目的

本文探讨了火电厂煤炭处理系统性能的优化。

设计/方法/方法

煤炭处理系统由五个子系统组成，分别是货车翻车机，破碎机，料仓，给料机和磨煤机。使用马尔可夫方法代表过渡图导出偏微分方程。借助归一化条件进一步求解这些偏微分方程以获得性能模型。通过将故障和修复率（FRR）的适当组合放到性能模型中，可以达到许多性能级别。煤处理系统的性能优化是通过改变种群和发电量来实现的。

发现

观察到最高的性能水平，即人口数量为40时为93.33，发电量为70时为93.31。

创意/价值

本文的发现强调了许多子系统的性能水平和FRR的最佳值。这些发现对于工厂管理人员决定维护计划非常有帮助。