最优潮流灵敏度计算的最小二乘解

S. Venkatesh, W.-H.E. Liu, A. Papalexopoulos
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引用次数: 31

摘要

对于电力行业来说,最优潮流(OPF)解决方案对母线负载、流量限制、母线电压限制和其他OPF约束的微小变化的灵敏度变得越来越重要。大多数现有的OPF算法都无法产生这些灵敏度。提出了一种适用于后opf灵敏度计算的基于最小二乘的算法。该算法在考虑所有重要的操作和安全约束的情况下,提供了可接受的最优解灵敏度。最优解不必是精确的。这对于实时应用尤其重要,因为只有近似但接近真正的最佳解决方案可用。所提出的算法已在生产级计算机软件中实现,并且具有足够的通用性,可供其他电力公司使用。它打算用作太平洋天然气和电力公司新能源管理系统(EMS)中OPF计算的一部分。给出了一个1700总线系统的测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A least squares solution for optimal power flow sensitivity calculation
Sensitivities of an optimal power flow (OPF) solution to small changes in bus loads, flow limits, bus voltage limits, and other OPF constraints are becoming increasingly important to the electric utility industry. Many of these sensitivities are not produced by most existing OPF algorithms. A least-squares-based algorithm that is suitable for post-OPF sensitivity calculations is proposed. The algorithm provides acceptable sensitivities of optimal solutions under the consideration of all important operational and security constraints. The optimal solutions need not be exact. This is especially important for real-time applications where only approximate, but close to the true optimum, solutions are available. The proposed algorithm has been implemented in a production grade computer software and is sufficiently general to be used by other electric power utilities. It is intended to be used as part of the OPF calculations in the new energy management system (EMS) of the Pacific Gas and Electric Company. Test results on a 1700-bus system are presented.<>
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