Integrated offshore power operation resilience assessment using Object Oriented Bayesian network
Integrated offshore power operation resilience assessment using Object Oriented Bayesian network
复制标题
DOI：
10.1016/j.oceaneng.2018.08.052
复制
发表时间：
2018-11
影响因子：
5
通讯作者：
Adnan Sarwar;F. Khan;L. James;M. Abimbola
中科院分区：
文献类型：
--
作者：
Adnan Sarwar;F. Khan;L. James;M. Abimbola
恶劣的天气和深水沃茨为海上钻井和生产设施创造了具有挑战性的环境，导致故障的可能性增加。这就需要提高工程系统的复原力。拥有强大的电力系统是海上设施的基本要素。电源管理系统与其他工程系统交互，以最大限度地提高性能并限制潜在故障。确保安全和连续运行需要技术进步，提高综合运营的可靠性，并提高电力系统的弹性。本文确定了提高海上电力管理方案弹性的主要要求。不同的潜在故障情况进行识别和分析，以量化系统的弹性。采用面向对象的贝叶斯网络格式，作为预期反应，系统的适应性，吸收能力和恢复的功能模型的弹性。进行敏感性分析，以研究不同的变量和策略之间的影响和相互依赖性，用于量化的海上电力系统的弹性，并通过调整控制措施，以提高系统的性能，在某些故障。
Harsh weather and deep waters create challenging environments for offshore drilling and production facilities, resulting in increased chances of failure. These necessitate improving the resilience of engineering systems. Having a robust power system is an essential element of an offshore facility. A power management system interacts with other engineering systems to maximize performance and limit potential failures. Ensuring a safe and continuous operation requires technological advancement, increased reliability of integrated operations, and improvement of power system resiliency. This paper identifies the main requirements for an improved resilience of an offshore power management scheme. Different potential failure scenarios are identified and analyzed to quantify the resilience of the system. The object-oriented Bayesian network format is adopted to model resilience as a function of anticipated reactions, system adaptability, absorptive capability and restoration. Sensitivity analysis is conducted to study the impact and interdependencies among different variables and strategies used to quantify resilience of an offshore power system, and also to improve the system performance during certain failures by adapting control measures.