POMATO - Revision history

Richard Weinhold at 12:41, 12 January 2022

2022-01-12T12:41:11Z

Richard Weinhold at 12:40, 12 January 2022

2022-01-12T12:40:54Z

Richard Weinhold at 12:40, 12 January 2022

2022-01-12T12:40:18Z

Richard Weinhold at 12:39, 12 January 2022

2022-01-12T12:39:55Z

Richard Weinhold at 13:52, 20 November 2020

2020-11-20T13:52:41Z

Richard Weinhold at 11:04, 23 October 2020

2020-10-23T11:04:18Z

Richard Weinhold at 11:03, 23 October 2020

2020-10-23T11:03:04Z

Richard Weinhold: Created page with "{{Model |Full_Model_Name=Power Market Tool |Acronym=POMATO |author_institution=TU Berlin |authors=Richard Weinhold, Robert Mieth |contact_persons=Richard Weinhold |contact_ema..."

2020-10-23T11:00:27Z

Created page with "{{Model |Full_Model_Name=Power Market Tool |Acronym=POMATO |author_institution=TU Berlin |authors=Richard Weinhold, Robert Mieth |contact_persons=Richard Weinhold |contact_ema..."

New page

{{Model
|Full_Model_Name=Power Market Tool
|Acronym=POMATO
|author_institution=TU Berlin
|authors=Richard Weinhold, Robert Mieth
|contact_persons=Richard Weinhold
|contact_email=riw@wip.tu-berlin.de
|website=https://github.com/richard-weinhold/pomato
|source_download=https://github.com/richard-weinhold/pomato
|logo=Pomato 2.png
|text_description=POMATO stands for (POwer MArket TOol) and is an easy to use tool for the comprehensive analysis of the modern electricity market. It comprises the necessary power engineering framework to account for power flow physics, thermal transport constraints and security policies of the underlying transmission infrastructure, depending on the requirements defined by the user. POMATO was specifically designed to realistically model Flow-Based Market-Coupling (FBMC) and is therefore equipped with a fast security constrained optimal power flow algorithm and allows zonal market clearing with endogenously generated flow-based parameters, and redispatch.
|Primary outputs=Economic dispatch subhect to various network representations
|User documentation=https://pomato.readthedocs.io/en/latest/
|open_source_licensed=Yes
|license=GNU Library or "Lesser" General Public License version 3.0 (LGPL-3.0)
|model_source_public=Yes
|Link to source=https://github.com/richard-weinhold/pomato
|data_availability=some
|open_future=No
|modelling_software=Julia/JuMP
|processing_software=Python
|External optimizer=Clp per default, commercial solvers are compadible
|GUI=No
|model_class=Network-constrained Unit Commitment and Economic Dispatch,
|sectors=Electricity Market, Heat
|technologies=Renewables, Conventional Generation, CHP
|Energy carriers (Solid)=Uranium
|Energy carriers (Renewable)=Wind
|Transfer (Electricity)=Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch
|georegions=inlcuded data for DE, CWE. all Matpower cases are compadible.
|georesolution=Nodal resolution
|timeresolution=Hour
|network_coverage=transmission, DC load flow, net transfer capacities
|Observation period=Less than one year
|math_modeltype=Optimization
|math_modeltype_shortdesc=Linear Economic Dispatch. Linear Optimal Power Flow. Linear Security Constrained Optimal Power Flow
|math_objective=Cost minimization
|deterministic=Chance Constrained
|is_suited_for_many_scenarios=No
|montecarlo=No
|report_references=
Weinhold and Mieth (2020), Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening. DOI: 0.1109/TPWRS.2020.2994764

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. DOI: 10.1016/j.apenergy.2019.114067

|Model input file format=No
|Model file format=No
|Model output file format=No
}}

@@ Line 45: / Line 45: @@
 |citation_references=Weinhold, Richard, and Robert Mieth. 2021. “Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets.” SoftwareX 16 (December): 100870.
 |citation_doi=10.1016/j.softx.2021.100870
-|report_references=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. DOI: 10.1016/j.apenergy.2019.114067.
+|report_references=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. https://doi.org/10.1016/j.apenergy.2019.114067.
 Weinhold, Richard, and Robert Mieth. 2020. “Fast Security-Constrained Optimal Power Flow Through Low-Impact and Redundancy Screening.” IEEE Transactions on Power Systems 35 (6): 4574–84. https://doi.org/10.1109/TPWRS.2020.2994764.
 Weinhold, Richard. 2021. “Evaluating Policy Implications on the Restrictiveness of Flow-Based Market Coupling with High Shares of Intermittent Generation: A Case Study for Central Western Europe.” ArXiv preprint 2109.04940v1. https://arxiv.org/abs/2109.04940.
 Weinhold, Richard, and Robert Mieth. 2021. “Uncertainty-Aware Capacity Allocation in Flow-Based Market Coupling.” ArXiv preprint 2109.04968v2. https://arxiv.org/abs/2109.04968.
 |example_research_questions=Fundamental representation of flow-based market coupling.

@@ Line 46: / Line 46: @@
 |citation_doi=10.1016/j.softx.2021.100870
 |report_references=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. DOI: 10.1016/j.apenergy.2019.114067.
 Weinhold, Richard, and Robert Mieth. 2020. “Fast Security-Constrained Optimal Power Flow Through Low-Impact and Redundancy Screening.” IEEE Transactions on Power Systems 35 (6): 4574–84. https://doi.org/10.1109/TPWRS.2020.2994764.
 Weinhold, Richard. 2021. “Evaluating Policy Implications on the Restrictiveness of Flow-Based Market Coupling with High Shares of Intermittent Generation: A Case Study for Central Western Europe.” ArXiv preprint 2109.04940v1. https://arxiv.org/abs/2109.04940.
 Weinhold, Richard, and Robert Mieth. 2021. “Uncertainty-Aware Capacity Allocation in Flow-Based Market Coupling.” ArXiv preprint 2109.04968v2. https://arxiv.org/abs/2109.04968.
 |example_research_questions=Fundamental representation of flow-based market coupling.
 |Model input file format=No

@@ Line 43: / Line 43: @@
 |is_suited_for_many_scenarios=No
 |montecarlo=No
-|citation_references=Weinhold and Mieth (2020), Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening.
+|citation_references=Weinhold, Richard, and Robert Mieth. 2021. “Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets.” SoftwareX 16 (December): 100870.
-|citation_doi=0.1109/TPWRS.2020.2994764
+|citation_doi=10.1016/j.softx.2021.100870
-|report_references=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. DOI: 10.1016/j.apenergy.2019.114067
+|report_references=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. DOI: 10.1016/j.apenergy.2019.114067.
 |Model input file format=No
 |Model file format=No
 |Model output file format=No
 }}

@@ Line 8: / Line 8: @@
 |website=https://github.com/richard-weinhold/pomato
 |source_download=https://github.com/richard-weinhold/pomato
-|logo=Pomato 2.png
+|logo=Pomato.gif
 |text_description=POMATO stands for (POwer MArket TOol) and is an easy to use tool for the comprehensive analysis of the modern electricity market. It comprises the necessary power engineering framework to account for power flow physics, thermal transport constraints and security policies of the underlying transmission infrastructure, depending on the requirements defined by the user. POMATO was specifically designed to realistically model Flow-Based Market-Coupling (FBMC) and is therefore equipped with a fast security constrained optimal power flow algorithm and allows zonal market clearing with endogenously generated flow-based parameters, and redispatch.
 |Primary outputs=Economic dispatch subhect to various network representations

@@ Line 21: / Line 21: @@
 |processing_software=Python
 |External optimizer=Clp per default, commercial solvers are compadible
 |GUI=No
 |model_class=Network-constrained Unit Commitment and Economic Dispatch,
 |sectors=Electricity Market, Heat
 |technologies=Renewables, Conventional Generation, CHP
@@ Line 31: / Line 32: @@
 |Storage (Heat)=No
 |decisions=dispatch
-|georegions=inlcuded data for DE, CWE. all Matpower cases are compadible.
+|georegions=User-dependent
 |georesolution=Nodal resolution
 |timeresolution=Hour
@@ Line 42: / Line 43: @@
 |is_suited_for_many_scenarios=No
 |montecarlo=No
 |report_references=
 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. DOI: 10.1016/j.apenergy.2019.114067
 |Model input file format=No
 |Model file format=No
 |Model output file format=No
 }}