论文标题
电力市场工具（Pomato），用于分析区域电力市场
Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets
论文作者
论文摘要
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营的背景下对相互联系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的能力分配和拥塞管理（CACM）政策，尤其是基于流动的市场耦合（FBMC）。为此，Pomato实施了分析同时区域市场清除，节点（N-K安全）功率流量计算的方法，以及具有自适应网格表示和重新分配的多阶段市场清算。通过有效的约束算法启用了计算要求的N-K安全功率流。 Pomato为数据读取，预处理和后处理和交互式结果可视化提供了一个集成的环境。欧洲电力系统的综合数据集是根据开放电力系统数据和MATPOPERASE CASE编译的。 Pomato在Python和Julia中实施，利用Python易于维护的数据处理和用户互动功能以及朱莉娅良好可读的代数建模语言，出色的计算性能以及开源和商业求解器的界面。
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.
