Dispa-SET

The Dispa-SET model is mainly developed within the “Joint Research Centre” of the European Commission and focuses on the balancing and flexibility problems in European grids

Europeanbalancingenergy

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Contributor(s)

Initial contribute: 2019-10-18

Authorship

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University of Liège, KU Leuven
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European Commission, Joint Research Centre
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KU Leuven, Belgium
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Detailed Description

English {{currentDetailLanguage}} English

Quoted from: http://www.dispaset.eu/en/latest/overview.html 

The Dispa-SET model is mainly developed within the “Joint Research Centre” of the European Commission and focuses on the balancing and flexibility problems in European grids [1].

It is written in GAMS and uses csv files for input data handling. The optimisation is defined as a Linear Programming (LP) or Mixed-Integer Linear Programming (MILP) problem, depending on the desired level of accuracy and complexity. Continuous variables include the individual unit dispatched power, the shedded load and the curtailed power generation. The binary variables are the commitment status of each unit. The main model features can be summarized as follows:

Features

  • Minimum and maximum power for each unit
  • Power plant constraints: minimum power, ramping limits, Minimum up/down times, start-up, no-load costs
  • Outages (forced and planned) for each units
  • Reserves (spinning & non-spinning) up and down
  • Load Shedding
  • Curtailment
  • Pumped-hydro storage
  • Non-dispatchable units (e.g. wind turbines, run-of-river, etc.)
  • Multi-nodes with capacity constraints on the lines (congestion)
  • Constraints on the targets for renewables and/or CO2 emissions
  • CHP power plants and thermal storage
  • Power-to-heat (heat pump, electrical heater) and thermal storage
  • DSM-ready demand
  • Integrated mid-term scheduling and short-term optimal dispatch
  • Different model formulations and levels of clustering complexity generated from the same dataset.

The demand is assumed to be inelastic to the price signal. The MILP objective function is therefore the total generation cost over the optimization period.

模型元数据

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Joint Research Centre, European Commission, Sylvain Quoilin, Konstantinos Kavvadias, Matija Pavičević (2019). Dispa-SET, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/ee8d40c2-d33c-4760-9d2a-d7a92adf0d15
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Contributor(s)

Initial contribute : 2019-10-18

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Authorship

:  
View
:  
University of Liège, KU Leuven
:  
View
:  
European Commission, Joint Research Centre
:  
View
:  
KU Leuven, Belgium
Is authorship not correct? Feed back

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