Investigating Wind Generation Investment Indices in Multi-Stage Planning

Jaber Valinejad, Mousa Marzband, Krishna Busawon, Jorma Kyyrä, Edris Pouresmaeil

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

5 Citations (Scopus)
160 Downloads (Pure)


This paper presents a Multi-stage stochastic bi-level model for the expansion planning of Wind resources in power systems at a multi-stage horizon. In this paper, the power system consists of a combination of fossil fuel technologies and Wind resources for investment. Demand is characterized by a certain number of demand blocks. The uncertainty of demand for each this block (for each time period of the curve) is determined by the scenario. Afterwards, the suggested model is converted to a mathematical programming with some equilibrium constraints. Following that, after linearization, a mixed integer linear program is obtained. This framework is examined on the IEEE RTS 24-bus network. The obtained simulation results confirm that this model can be appropriately used as a means to analyze the behavior of investments in wind and thermal units.
Original languageEnglish
Title of host publicationProceedings of the 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018
EditorsEzio Santini, Stefano Di Gennaro, Claudio Bruzzese
Number of pages6
ISBN (Electronic)9781538655177
Publication statusPublished - 16 Jan 2019
MoE publication typeA4 Conference publication
EventInternational Symposium on Environment-Friendly Energies and Applications - Rome, Italy
Duration: 24 Sept 201826 Sept 2018
Conference number: 5


ConferenceInternational Symposium on Environment-Friendly Energies and Applications
Abbreviated titleEFEA


  • Capacity investment
  • Power market
  • Wind
  • Dynamic planning
  • Stochastic approach


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