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首页> 外文会议>World Multiconference on Systemics, Cybernetics and Informatics(SCI 2002) v.6: Industrial Systems and Engineering I; 20020714-20020718; Orlando,FL; US >POWER PLANT RELIABILITY UNDER UNCERTAINTY
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POWER PLANT RELIABILITY UNDER UNCERTAINTY

机译：不确定性下的电厂可靠性

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摘要

There are considerable power generation problems in the United States and other countries. Some experts are forecasting a difficult year for power utilities and a future beset with problems, mostly revolving around greatly increased demand. It appears as though there are many short term and long term optimization problems that the power industry must address. They must plan for future demand while trying not to go broke in the short term. One tool that can help in both the day-to-day running of a power plant, and the long term planning by managers and politicians, is the new simulation optimization computer approach to multivariate problems. It is called multi stage Monte Carlo optimization. It will be used here to solve a complex electric power purchase problem. Then its generality and power will be shown by using multi stage to solve a nonlinear system of equations. Additionally other applications for this flexible technique will be mentioned.
机译：在美国和其他国家，存在大量的发电问题。一些专家预测，电力公用事业将是艰难的一年，未来将面临许多问题，其中大部分围绕着需求的大幅增长。看来电力行业必须解决许多短期和长期的优化问题。他们必须计划未来的需求，同时努力在短期内不破产。一种新的模拟优化计算机方法可以帮助电厂的日常运行以及管理人员和政客的长期计划，该工具可以解决多变量问题。这称为多阶段蒙特卡洛优化。在这里将使用它来解决复杂的电力购买问题。然后，将通过使用多级法求解非线性方程组来显示其一般性和功效。另外，将提及该灵活技术的其他应用。

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