Investigating Wind Generation Investment Indices in Multi-Stage Planning

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

Researchers

Research units

  • Virginia Tech
  • Northumbria University

Abstract

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.

Details

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
Publication statusPublished - 16 Jan 2019
MoE publication typeA4 Article in a conference publication
EventInternational Symposium on Environment-Friendly Energies and Applications - Rome, Italy
Duration: 24 Sep 201826 Sep 2018
Conference number: 5

Conference

ConferenceInternational Symposium on Environment-Friendly Energies and Applications
Abbreviated titleEFEA
CountryItaly
CityRome
Period24/09/201826/09/2018

    Research areas

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

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