CAREER: A Parallel Fuzzy Decomposition for On-line Optimal Power Flows with Security and Environmental Constraints

9531721拉梅什电力公司提出了一个综合解决方案，以最经济的方式调度电力，同时满足安全和环境限制，其中安全一词指的是电网在发生意外事件时维持正常运行的能力。该问题在方案中称为SECOPE问题，是在线最优潮流问题的扩展。这项研究的主要目标是：1)找到SECOPE问题的一个分解，该分解显式地模拟输入数据中的不确定性，并对建议的控制措施进行过滤和优先排序；2)确定一种适当的全局优化技术来解决上述分解以及添加离散控制措施；以及3)研究实际电力系统中这种分解的同步和异步并行实现的收敛特性。建议的教育活动的主要目的是：1)利用互联网和万维网的多媒体资源，教会学生“学会学习”；2)鼓励学生(特别是本科生)投身电力工程事业。***

9531721 Ramesh The PI proposes an integrated solution to the problem of dispatching electric power in the most economical manner while meeting security and environmental constraints, where the term security refers to the ability of the power network to sustain normal operations in the event of contingencies. This problem, which is referred to in the proposal as the SECOPE problem, is an extension of the On-line Optimal Power Flow problem. The primary objectives of the research are: 1) to find a decomposition for the SECOPE problem that explicitly models the uncertainties in the input data, and that filters and prioritizes suggested control actions; 2) to determine an appropriate global optimization technique for solving the above decomposition with the addition of discrete control actions; and, 3) to study the convergence characteristics of the synchronous and asynchronous parallel implementations of this decomposition for realistic power systems. The primary objectives of the proposed education activities are: 1) to use the multimedia resources of the Internet and the World Wide Web to teach students to "learn to learn", 2) to motivate students (especially undergraduates) to pursue a career in power engineering. ***