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Decentralized AC power flow for real-time multi-TSO power system operation

机译：分散式交流电潮流，可实时进行多TSO电力系统运行

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This paper adjusts decentralized OPF optimization to the AC power flow problem in power systems with interconnected areas operated by different transmission system operators (TSO). The proposed methodology allows finding the operation point of a particular area without explicit knowledge of network data of the other interconnected areas, being only necessary to exchange border information related to the tie-lines between areas. The methodology is based on the decomposition of the first-order optimality conditions of the AC power flow, which is formulated as a nonlinear programming problem. To allow better visualization of the concept of independent operation of each TSO, an artificial neural network have been used for computing border information of the interconnected TSOs. A multi-area Power Flow tool can be seen as a basic building block able to address a large number of problems under a multi-TSO competitive market philosophy. The IEEE RTS-96 power system is used in order to show the operation and effectiveness of the decentralized AC Power Flow.
机译：本文将分散式OPF优化调整为具有由不同输电系统运营商（TSO）运营的互连区域的电力系统中的交流潮流问题。所提出的方法允许在不明确了解其他互连区域的网络数据的情况下找到特定区域的操作点，这仅是交换与区域之间的联络线有关的边界信息所必需的。该方法基于交流潮流的一阶最优条件的分解，该条件被表述为非线性规划问题。为了更好地可视化每个TSO的独立操作的概念，已使用人工神经网络来计算互连的TSO的边界信息。可以将多区域Power Flow工具视为能够在多TSO竞争市场理念下解决大量问题的基本构建块。使用IEEE RTS-96电源系统来显示分散式AC潮流的操作和有效性。

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