电力系统投资的优先顺序表：相量测量单元的定位
Priority Lists for Power System Investments: Locating Phasor Measurement Units
摘要：
电力系统逐步地、持续地升级其组件，例如输电线路、无功电容器或发电机组。决策工具通常支持选择要升级的最佳组件集。优化模型通常用于支持在给定时间点的决策。在一定的时间间隔后，重新优化，找到新的组件添加。在本文中，我们提出了一个决策框架，逐步更新电力系统组件。这是一种替代的方法，经典的顺序再优化决策的投资问题建模的预算约束。我们的方法提供了一个优先级列表作为解决方案，其中包含要升级的新组件列表。我们表明，i）我们的框架是一致的电力系统升级的演变，和ii）在特定的情况下，这两个框架提供了相同的解决方案，如果问题满足子模块属性。我们选择了相量测量单元定位的问题，并与经典的顺序重新优化框架的解决方案进行了比较。对于这个特定的问题，我们表明，这两种方法提供了接近的结果，而只有我们提出的算法是适用于实践。14和118 IEEE总线的情况下被用来说明所提出的方法。
英文摘要：
Power systems incrementally and continuously upgrade their components, such as transmission lines, reactive capacitors, or generating units. Decision-making tools often support the selection of the best set of components to upgrade. Optimization models are often used to support decision making at a given point in time. After certain time intervals, re-optimization is performed to find new components to add. In this paper, we propose a decision-making framework for incrementally updating power system components. This is an alternative approach to the classical sequential re-optimization decision making for an investment problem with modeled budget constraints. Our approach provides a priority list as a solution with a list of new components to upgrade. We show that i) our framework is consistent with the evolution of power system upgrades, and ii) in particular circumstances, both frameworks provide the same solution if the problem satisfies submodularity property. We have selected the problem of phasor measurement unit localization and compared the solution with the classical sequential re-optimization framework. For this particular problem, we show that the two approaches provide close results, while only our proposed algorithm is applicable in practice. The cases of 14 and 118 IEEE buses are used to illustrate the proposed methodology.
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