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首页> 外文期刊>Journal of applied mathematics >Identification of Contamination Control Strategy for Fluid Power System Using an Inexact Chance-Constrained Integer Program
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Identification of Contamination Control Strategy for Fluid Power System Using an Inexact Chance-Constrained Integer Program

机译：使用不精确机会约束整数程序确定流体动力系统的污染控制策略

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摘要

An inexact chance-constrained integer programming (ICIP) method is developed for planning contamination control of fluid power system (FPS). The ICIP is derived by incorporating chance-constrained programming (CCP) within an interval mixed integer linear programming (IMILP) framework, such that uncertainties presented in terms of probability distributions and discrete intervals can be handled. It can also help examine the reliability of satisfying (or risk of violating) system constraints under uncertainty.The developed method is applied to a case of contamination control planning for one typical FPS. Interval solutions associated with risk levels of constraint violation are obtained. They can be used for generating decision alternatives and thus help designers identify desired strategies under various environmental, economic, and system reliability constraints. Generally, willingness to take a higher risk of constraint violation will guarantee a lower systemcost; a strong desire to acquire a lower riskwill run into a higher system cost.Thus, the method provides not only decision variable solutions presented as stable intervals but also the associated risk levels in violating the system constraints. It can therefore support an in-depth analysis of the tradeoff between system cost and system-failure risk.
机译：开发了一种不精确的机会约束整数规划（ICIP）方法来规划流体动力系统（FPS）的污染控制。通过将机会约束编程（CCP）纳入间隔混合整数线性规划（IMILP）框架中，可以得出ICIP，从而可以处理以概率分布和离散间隔表示的不确定性。它还可以帮助检查在不确定性下满足（或违反风险）系统约束的可靠性。所开发的方法适用于一种典型FPS的污染控制计划。获得与约束违反风险级别相关的区间解。它们可用于生成决策方案，从而帮助设计人员在各种环境，经济和系统可靠性约束下确定所需的策略。通常，愿意承担更高的违反约束风险的意愿将保证较低的系统成本;强烈希望获得较低的风险会增加系统成本。因此，该方法不仅提供以稳定间隔表示的决策变量解决方案，而且提供违反系统约束的相关风险级别。因此，它可以支持对系统成本与系统故障风险之间的折衷进行深入分析。

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