PowerModels.J1: An Open-Source Framework for Exploring Power Flow Formulations
PowerModels.J1: An Open-Source Framework for Exploring Power Flow Formulations
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PowerModels.J1：用于探索潮流公式的开源框架
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Miles Lubin
中科院分区：
文献类型：
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作者：
Carleton Coffrin;R. Bent;K. Sundar;Yeesian Ng;Miles Lubin
近年来，电力系统研究界出现了大量制定和解决电网优化问题的新方法。这些新兴的方法包括新的潮流近似，通过捕获无功功率来超越传统的直流潮流，以及提供解决方案质量和运行时性能保证的凸松弛。不幸的是，这些新兴方法的复杂性往往给在各种电力系统优化应用中评估它们带来了重大障碍。为了解决这个问题，本研究提出了一个比较潮流公式的开源平台PowerModels。从一开始，PowerModels就被设计为简化在共享优化问题规范上评估不同潮流公式的过程。本工作简要介绍了PowerModels的设计，验证了其实现，并通过分析最优潮流问题的五种不同公式的概念验证研究来证明其有效性。
In recent years, the power system research community has seen an explosion of novel methods for formulating and solving power network optimization problems. These emerging methods range from new power flow approximations, which go beyond the traditional DC power flow by capturing reactive power, to convex relaxations, which provide solution quality and runtime performance guarantees. Unfortunately, the sophistication of these emerging methods often presents a significant barrier to evaluating them on a wide variety of power system optimization applications. To address this issue, this work proposes PowerModels, an open-source platform for comparing power flow formulations. From its inception, PowerModels was designed to streamline the process of evaluating different power flow formulations on shared optimization problem specifications. This work provides a brief introduction to the design of PowerModels, validates its implementation, and demonstrates its effectiveness with a proof-of-concept study analyzing five different formulations of the Optimal Power Flow problem.