The proposed open-source Power Market Tool (POMATO) aims to enable research on interconnected modern and future electricity markets in the context of the physical transmission system and its secure operation. POMATO has been designed to study capacity allocation and congestion management (CACM) policies of European zonal electricity markets, especially flow-based market coupling (FBMC). For this purpose, POMATO implements methods for the analysis of simultaneous zonal market clearing, nodal (N-k secure) power flow computation for capacity allocation, and multi-stage market clearing with adaptive grid representation and redispatch. The computationally demanding N-k secure power flow is enabled via an efficient constraint reduction algorithm. POMATO provides an integrated environment for data read-in, pre- and post-processing and interactive result visualization. Comprehensive data sets of European electricity systems compiled from Open Power System Data and Matpower Cases are part of the distribution. POMATO is implemented in Python and Julia, leveraging Python's easily maintainable data processing and user interaction features and Julia's well readable algebraic modeling language, superior computational performance and interfaces to open-source and commercial solvers.

中文翻译：

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用于分析区域电力市场的电力市场工具（POMATO）

拟议的开源电力市场工具（POMATO）旨在在物理传输系统及其安全运行的背景下，对互连的现代和未来电力市场进行研究。POMATO旨在研究欧洲区域电力市场，尤其是基于流量的市场耦合（FBMC）的容量分配和拥塞管理（CACM）政策。为此，POMATO实施了以下方法：分析同时进行的区域市场清理，用于容量分配的节点（Nk安全）潮流计算以及具有自适应网格表示和重新分配的多阶段市场清理。通过高效的约束减少算法，可以实现计算要求高的Nk安全潮流。POMATO为数据读取提供了一个集成的环境，预处理和后处理以及交互式结果可视化。从“开放式电力系统数据”和“ Matpower案例”收集的欧洲电力系统综合数据集是该分发的一部分。POMATO在Python和Julia中实现，利用了Python易于维护的数据处理和用户交互功能以及Julia易读的代数建模语言，出色的计算性能以及与开源和商业求解器的接口。