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The Power Market Tool (POMATO) aims to enable research and analyses of modern real-world electricity markets in the context of the physical transmission system and its secure operation. To analyze relevant market and operational processes POMATO provides: Simultaneous zonal market clearing and nodal power flow computation, a scalable and fast SCOPF algorithm, and risk-aware optimal power flow via chance constraints. All optimization features rely on Julia/JuMP, leveraging its accessibility, computational performance, and solver interfaces.
This repository holds these features as a individual julia package for easier maintenance, testing and documentation. However it is eventually embedded in a Python front-end, providing flexible and easily maintainable data processing and user interaction features and is not meant so be used on its own. Please see the corresponding publication and the (POMATO repository) for further information.
This package is meant to be used in conjunction with the python POMATO model, which embeds its features and installs it automatically. For stand alone usage see the documentation page.
- (preprint) Weinhold and Mieth (2020), Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets
- Weinhold and Mieth (2020), Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening
- Schönheit, Weinhold, Dierstein (2020), The impact of different strategies for generation shift keys (GSKs) on the flow-based market coupling domain: A model-based analysis of Central Western Europe